Courses Handbook

COURSES HANDBOOK

INTRODUCTION

The courses handbook is developed under the realization of Erasmus + project 573879-EPP-1-2016-1-FR-EPPKA2-CBHE-JP INternationaliSation of master Programs In Russian and China in electrical engineering

The internationalization of higher education requires that both Chinese and Russian higher education need to promote the continuous improvement of the quality of higher learning institutions while also promoting talent training in accordance with international standards. In Russia one of the national priorities is to integrate tools of Bologna Process for continuous development of the European space of the higher education. China at national level takes measures to enhance outcomes-based education and developing tools for recognition. The educational basis for the Master of Electrical Engineering in Russia and China is to cultivate high-level application- oriented specialized personnel for enterprises and engineering departments in the field of electrical engineering. New Master programs aim to provide solid basic theories and broad expertise in the field, as well as advanced technological methods for solving engineering problems. Within the project Universities developed a qualitatively advanced innovative Master’s program for preparing students with engineering skills, scientific brainpower and administrative bodies in electrical engineering industry, network companies, sphere of housing and communal services and related sectors. Constant increase in the degree of intellectualization of electrotechnical equipment, the complication of "mobile" structures, the introduction of modern monitoring systems and technical diagnostics require the further development of the theory of modelling of electrotechnical complexes of enterprises in terms of improving the scientific level methods of research, assessment of the state, modelling, prediction and calculation of the modes of operation of the electrotechnical complexes, especially in conditions of uncertainty and incompleteness of information. All that issues were considered while developing new curriculum in electrical engineering. Made comparative analysis of educational systems showed up complexity of synchronizing Russian and Chinese educational modes. To overcome those problems the best EU methodologies were used, such as Tuning methodology. The newest approaches in technical subjects were used based on the need of biggest regional companies and plants. As the second result the concept of virtual enterprise has been developed and consequently the Virtual Enterprise training course has been set up in RU&CH Universities. The methodology of a virtual enterprise (VE) is the evolution of a project-oriented approach. At the same time, if in case of the project-oriented approach involves training in project management, then the VE methodology assumes the additional development of other currently relevant competences. Each RU-CH University has developed by 3 new courses to be realized within new curriculum That courses form elective courses portfolio. Master student chooses courses which could be studied at one of the partner-universities, what is a part of academic mobility or at home university according to the developed and approved curriculum. Research work and internship can be done both at home and partner universities, or in a special organization.

Portfolio of courses:

Changchun Institute of technology (Changchun, China) Electrical Drives – 3 ECTS Electrical Power Systems- 3 ECTS Power Electronics - 3 ECTS Virtual enterprise -2 ECTS

Lanzhou University of Technology (Lanzhou, China) Pattern Recognition- 3 ECTS DSP Principle and its Application -3 ECTS Analysis and Control of Power Quality-3 ECTS Virtual enterprise-2 ECTS

Platov South-Russian State Polytechnic University (NPI) (Novocherkassk, Russia) Intellectual measurement tools -4 ECTS Computer visualisation-3 ECTS Project management (English)-3 ECT Virtual enterprise-3 ECTS

Volgograd State Technical University (Volgograd, Russia) Neural Information Processing Systems – 6 ECTS Measuring Information Systems - 5 ECTS Sensors Robotic Systems - 6 ECTS Virtual enterprise-3 ECTS

Kazan National Research Technical University named after A. N. Tupolev - KAI (Kazan, Russia) Measurements and Testing of Electrical Complexes - 6 ECTS Measurements of Electronic Components and Electronic Systems- 4 ECTS Quality Control in Instrumental Engineering - 3 ECTS Virtual enterprise-3 ECTS

Voronezh State University (Voronezh, Russia) Electromagnetic compatibility-4 ECTS Electrical Automation- 3 ECTS Measurements and Test of Electrical Machines and Systems -2 ECTS Virtual enterprise-2 ECTS

Perm National Research Polytechnic University (Perm, Russia) Аlternative energy - 3 ECTS Energy management - 3 ECTS Intellectual means and systems in the electric power industry and electrical engineering- 3 ECTS Virtual enterprise-2 ECTS

COURSES SYLLABUS FOR INSPIRE MASTER PROGRAM

Electrical Drives – 3 ECTS Electrical Power Systems- 3 ECTS Power Electronics 3 ECTS Virtual enterprise-2 ECTS

Introduction

Electrical Drives is a main course in Electrical Engineering. The contents involved in the course are widely applied in production practice. It mainly studies various speed regulation systems, which has a prominent feature of combining theory with practice.The goal of this course is to provide principles of theory and control of the main Electrical Drives. Train talents with solid basic theory, product application and basic design ability in the field of electric traction and transmission control.

Course Title Electrical Drives Course Scope Electrical Drives is a course with comprehensive knowledge and a wide coverage of contents. In terms of the motor basic operation characteristics, it is connected with the basic course about motor and drive; in terms of power electronic converter, it is connected with the course about power electronic technology. In the control system analysis, the knowledge in the automatic control theory course is applied; in the composition of the controller, the knowledge in the circuit, analog electronics technology, digital electronics technology and computer control and other courses is applied, the contents include a variety of AC and DC motor control system structures, and the control targets include revolving speed regulation and position servo system.

Course Code

040101 Course Descriptor This is a beginning level graduate course focusing on electric drive systems (power electronics driven electromechanical devices). The focus of the course will include permanent magnet synchronous machine drives (brushless dc) and induction motor drives. There will be a heavy emphasis on operation, physical modeling, and applied control. Study Program Master’s Degree in Electrical Engineering

Learning Outcomes

The objectives and abilities to be achieved through this course are as follows:

Objective 1: Be able to analyze the static and dynamic performance of the system by using the composition and principle of the speed regulation system.

Objective 2: Be able to apply the basic principle of power electronics to analyze the frequency conversion of speed regulation system and optimize energy saving control technology.

Objective 3: Be able to apply PWM control technology and direct torque control technology to analyze the principle, characteristics and design methods of variable frequency speed regulation system of asynchronous motor.

Objective 4： Be able to use vector control technology to analyze the mathematical model of asynchronous motor and the composition principle of vector control system.

Objective 5： To be able to deal with engineering problems based on the principle, analysis and design method of speed regulation system and automatic control theory.

Objective 6： Be able to conduct design, development, model selection and integration of the system, apply appropriate modern tools for prediction and simulation. Nominal Duration

Duration: 2 Semester Cycle: Yearly Starting Term: 2 Semester Workload: 96 Hours Presence (Direct): 32 Hours Credit Points: ECTS Assessment Criteria

EVALUATION: 1. Team project and in-class activities 30% 2. Individual Presentation 10% 3. Homework 30% 4 Exam 30%

Module Contents (I) Single closed-loop DC speed regulation system

1. Main teaching content This part mainly describes three kinds of speed regulation methods of DC motor and its mechanical characteristics, introduces thyristor rectifier power supply and its characteristics, focuses on the composition, operating principle, static and dynamic characteristics of single closed-loop DC speed regulation system using negative feedback of rotating speed as well as the operating principle of the closed-loop DC speed regulation system of proportional integral regulator.

2. Requirements for knowledge points and ability

(1) Knowledge points: Speed regulation method of DC motor; Controllable DC power-motor system; problems existing in open-loop speed regulation system and the solutions; closed-loop DC speed regulation system using negative feedback of rotating speed; problems existing in optimal transition process and single closed-loop DC speed regulation system.

(2) Ability: To understand the speed regulation method of DC motor, understand the characteristics of thyristor phase controlled rectifier - DC motor (V-M) system and pulse width modulated converter - DC motor (PWM-M) system, put emphasis on mastering the dynamic and static analysis of single closed-loop system using negative feedback of rotating speed, the open- loop mechanical characteristics of pulse width speed regulation system and the control circuit of pulse width speed regulation system, understand the optimal transition process and the dynamic response regulation process of PI regulator.

3. Teaching focuses and difficulties

Teaching focuses: Controllable DC power supply for DC speed regulation system, mechanical characteristics of thyristor - motor systems, mechanical characteristics of DC pulse width speed regulation system, mathematical model of PWM control and converter, steady state analysis of the closed-loop feedback control DC speed regulation system, proportional integral control law and speed regulation system without static difference.

Teaching difficulties: Comparison of the characteristics of open loop and closed loop, the effect of closed loop, etc.

(II) Speed - current double closed-loop DC speed regulation system

1. Main teaching content This part mainly describes the composition and steady state parameter calculation of the speed - current double closed-loop DC speed regulation system, the following response and disturbance rejection performance of the double closed-loop DC speed regulation system, and the engineering design method of the DC speed regulation system.

2. Requirements for knowledge points and ability

(1) Knowledge points: The composition and static characteristics of speed - current double closed-loop DC speed regulation system; dynamic performance of the double closed-loop DC speed regulation system; engineering design of the DC speed regulation system, etc.

(2) Ability: Master the composition, steady-state structure diagram, static characteristics and stability parameter calculation of double closed-loop DC speed regulation system, master the performance analysis of double closed-loop speed regulation system and get familiar with the engineering design method of regulator.

3. Teaching focuses and difficulties

Teaching focuses: Steady-state operating point and steady-state parameter calculation of the speed - current double closed-loop DC speed regulation system, design of the regulator of the double closed-loop system according to the engineering design method.

Teaching difficulties: The selection of regulator structure and the approximate treatment of transfer function, the engineering design method of regulator.

(III) Reversible DC speed regulation system and its application

1. Main teaching content This part mainly describes the main circuit and characteristics of reversible speed regulation system, the generation and suppression of DC circulation and pulsation circulation, the composition and transition process of circulation system and non- circulation system, operating principle and control mode of the PWM-M reversible speed regulation system. Finally, taking E-590 DC speed regulator as an example, introduces its practical applications in engineering.

2. Requirements for knowledge points and ability

(1) Knowledge points: Thyristor converter - DC motor (V-M) reversible speed regulation system; pulse width modulation converter - DC motor (PWM-M); main circuit and control mode of reversible speed regulation system; digital DC speed regulation system; engineering application of DC drive.

(2) Ability: To understand the different rectifying devices of reversible regulation system, understand the circulation reversible speed regulation system and the non-circulation reversible speed regulation system, master the positive and negative transition process, main circuit and its control mode of PWM-M reversible speed regulation system, master terminal wiring and application of digital regulator.

3. Teaching focuses and difficulties

Teaching focuses: The composition and characteristics of the reversible thyristor - motor system with circulation control and without circulation control, the comparison with the speed regulation system.

Teaching difficulties： Analysis and state change of the positive and negative transition process of the reversible system.

(IV) Variable frequency speed regulation system of AC asynchronous motor

1. Main teaching content This part mainly describes the speed regulation method and its application fields of AC motor, AC voltage converter, AC current converter and PWM control technology, the operating principle, composition and characteristics of variable frequency speed regulation system based on steady-state model and dynamic model, and finally introduces the engineering application cases of general frequency converter.

2. Requirements for knowledge points and ability

(1) Knowledge points: Variable frequency speed control characteristics of asynchronous motor; variable frequency speed regulation device and its power supply characteristics; brief introduction to frequency converter; pulse width modulation (PWM) control technology in the variable frequency speed regulation system; the variable frequency speed regulation system of asynchronous motor based on the steady-state mathematical model; the vector variable frequency speed regulation system of asynchronous motor based on dynamic mathematical model; direct torque control variable frequency speed regulation system of asynchronous motor; application of frequency converter.

(2) Ability: To understand the speed regulation method of AC motor and the classification according to the form of processing of slip power, understand the speed regulation characteristics below and above the fundamental frequency, master the principle and algorithm of PWM variable frequency speed regulation, understand the characteristics of the mathematical model of three- phase asynchronous motor, understand the coordinate transformation and the equation of state in each coordinate system, understand the principle and characteristics of vector control and direct torque control system.

3. Teaching focuses and difficulties

Teaching focuses: The basic control mode of variable voltage & variable frequency speed regulation, the mechanical characteristics of asynchronous motors under voltage-frequency coordinated control, pulse width modulation (PWM) technology in the variable voltage & variable frequency speed regulation system, the variable voltage & variable frequency speed regulation system based on steady-state model of asynchronous motor, the vector control system based on dynamic model oriented by rotor flux, the direct torque control system based on dynamic model controlled by stator flux, selection of frequency converter and external equipment.

Teaching difficulties: Sinusoidal pulse width modulation (SPWM) technology, voltage space vector PWM (SVPWM) control technology, advantages and disadvantages of being based on steady-state model and dynamic model, control mode of frequency converter, selection of frequency converter and motor.

(V) Soft start and optimized energy-saving control technology of asynchronous motor

1. Main teaching content This part mainly describes the voltage regulation and speed regulation and the optimized energy-saving control technology of AC motor, composition and application of soft starter.

2. Requirements for knowledge points and ability

(1) Knowledge points: Soft start of asynchronous motor; application cases of soft starter; economical operation and optimized energy-saving control technology of asynchronous motor.

(2) Ability: To master the operating principle of soft starter, understand the control basis of optimization and energy conservation and the hazards of direct start.

3. Teaching focuses and difficulties

Teaching focuses: Mechanical characteristics of asynchronous motors when voltage is changed, the hazards of direct start and application of soft starter.

Teaching difficulties: calculation of optimized energy-saving effect.

(VI) Cascade speed regulation system of wound rotor asynchronous motor

1. Main teaching content This part mainly describes the principle and mechanical characteristics of cascade speed regulation system of wound rotor asynchronous motor, analyzes the technical and economic indicators of cascade speed regulation, introduces the composition and starting mode of double closed-loop cascade speed regulation and the doubly-fed speed regulation system of wound rotor asynchronous motor.

2. Requirements for knowledge points and ability

(1) Knowledge points: Operating principle of cascade speed regulation and thyristor cascade speed regulation system; mechanical characteristics of cascade speed regulation of wound rotor asynchronous motor; technical and economic indicators of cascade speed regulation and its starting mode; doubly-fed speed regulation system of wound rotor asynchronous motor.

(2) Ability: To understand the principle and application of cascade speed regulation system, understand the mechanical characteristics and economic and technical indicators of cascade speed regulation system, understand the composition of cascade speed regulation system using double closed-loop control and the principle of doubly-fed speed regulation system.

3. Teaching focuses and difficulties

Teaching focuses: Operating principle of doubly-fed speed regulation of asynchronous motor, operating principle of cascade speed regulation system, mechanical characteristics of asynchronous motor in cascade speed regulation, technical and economic indicators of the cascade speed regulation system, dynamic mathematical model of the cascade speed regulation system using double closed-loop control.

Teaching difficulties: The effect of additional electromotive force on the rotor of asynchronous motor, the rotor rectifier circuit of asynchronous motor in cascade speed regulation, mechanical characteristic equation of cascade speed regulation of asynchronous motor .

(VII) Variable frequency speed regulation system of synchronous motor

1. Main teaching content This part mainly describes the speed regulation method of synchronous motor, torque angle characteristics, speed regulation system level application examples of automatic control and other controlled variable frequency synchronous motor.

2. Requirements for knowledge points and ability

(1) Knowledge points: Comparison between synchronous motor and asynchronous motor; steady-state mathematical model and speed regulation method of synchronous motor; speed regulation system of other controlled variable frequency synchronous motor; speed regulation system of automatic control variable frequency synchronous motor.

(2) Ability: To understand the speed regulation method of the variable frequency speed regulation system of synchronous motor, understand the principle and characteristics of speed regulation of automatic and other controlled synchronous motor.

3. Teaching focuses and difficulties

Teaching focuses: The vector control system of synchronous motor oriented by air gap magnetic field, the automatic variable frequency speed regulation system of trapezoidal permanent magnet synchronous motor (brushless DC motor), and the automatic variable frequency speed regulation system of sinusoidal permanent magnet synchronous motor.

Teaching difficulties: The multi-variable dynamic mathematical model of synchronous motor, the automatic variable frequency speed regulation system of trapezoidal wave permanent magnet synchronous motor (brushless DC motor), the vector control system of synchronous motor oriented by air gap magnetic field. Prerequisite and Conditions

Prerequisite includes Principles of Electric Circuits, Electronic Technology, Power electronics, Electrical Machinery Theory, Principles of Automatic Control and other specialized basic courses

Methodology The teaching method and means adopted for the course objectives are shown in the following table.

Course 1 Teaching method and Objective means 2 3 In classroom teaching combined with multimedia teaching. Through Course the mastery of the DC and AC speed regulation system structure, Objective 1 operating principle, mechanical characteristics, and mathematical model, the main circuit and regulator of the system are designed to meet the specific requirements of engineering, and to meet the static 4 In classroom teaching combined with multimedia teaching. With the Course and dynamic performance indicators of the system. In the design, all application of the principle of electrical machinery theory and power Objective 2 components of the system are integrated and the design scheme of electronics, the starting process of asynchronous motor is simulated regulator is optimized. 5 through MATLAB simulation software, and the energy-saving effect 6 isIn analyzedclassroom through teaching the combined results of powerwith multimedia saving rate, teaching. efficiency S,tudents power Course factorare taught, etc. the theory knowledge of the variable frequency speed Objective 3 regulation system through heuristic method and case analysis method; 7 Inthe classroom network teaching teaching platform combined is usedwith multimediato expand and teaching. develop T teachinghe vector Course resources; the MATLAB simulation software is used to assist course Objective 4 control variable frequency speed regulation system is simulated throughteaching. MATLAB simulation software, and the system control effect Course isIn analyzedthe process through of classroom the results teaching of torque,, case rotating teaching speed and, etc. instruction. Objective 5 The process of students’ passive acceptance of knowledge is transformed into the process in which they continuously solve problems through the method of “raising problems - group discussion Course The- dr awingMatlab conclusions simulation technology- teaching and verification” other engineering. In this process,tools are Objective 6 studentsapplied to are simulate made to and deepen predict their complex understanding engineering of relevantproblems. theories

and train their ability to analyze and solve problems.

Assessment Methods

Homework assessment

Homework will be assigned three times in this course, which will be completed by students independently (after class). Homework Assignments: (Reference) Students will volunteer or be asked to discuss homework due that class period. Late homework will not be accepted. We will use Course Site to upload HW and do some online activities. Please name the files (one file per homework, please) with your last name and then HW1, HW2, etc. If you have a special circumstance, let me know in advance. There will be both individually and group assignments. There is one extra credit homework assignment that you can do to make up for lost points. It is due the day of final exams.

Classroom performance assessment:

Listen carefully in class, answer questions actively and complete in-class exercises independently, it is not allowed to bring mobile phone in class. It is not allowed to be absent from class without any reason. If you cannot attend class, please ask for leave in advance and provide a leave slip signed by the student management department. Those who are absent from one-third of the course for one semester will not be allowed to take the final examination.

Participation: (Reference) Students are expected to actively participate in class and online by asking questions, working on in-class and exercises, giving presentations as individuals or as part of their team projects, and sharing personal experiences and opinions related to the topics discussed. Students who do not participate up to expectations or miss more than x in-class hours without a pre-approved or written excuse will have their final grades reduced by one grade. Be sure to contact me BEFORE you miss a class, if possible. Let me know about last minute emergencies via email or phone as soon as you can. Also, please do not use cell phones, laptops, or other devices in class unless you are asked to do so. Be present in class.

Case Project Design Assessment The topic is a course-related small case of the speed regulation system, which is required to be given online. Each case project is arranged in groups with 3-5 people in each group, in which they can discuss the implementation method through negotiation, but the content of each person is different. Students are required to use simulink module of the matlab software to fulfill it. After completion, before the end of the course, it is required to submit the case simulation report containing the simulation program. This case simulation project shall be completed in after-class learning time.

Case project PPT report and assessment: Presentations:

All students are required to participate in the case project presentation; each person shall complete the report independently with PPT and hands it in. The content includes description of the completion of the design content, discussion of simulation results, existing problems and further improvement measures. (Complete it after class)

Assessment of Honesty Requirements： Honesty: (Reference)

You will receive a 0 on any item if you are dishonest. Be sure to cite references properly and do your own work. Also make sure you are honest in everything you do relating to your team projects and online activities.

Experiment Assessment: Students are required to complete the design of the experimental scheme and experimental steps according to the requirements of experiment objectives before the experiment, form a written preview report and submit it to the lecturer. After it passes the review made by the lecturer, students may file an application for going to the laboratory to complete the experiment; The experiment shall be completed in strict accordance with the experimental objectives in the process of experiment;

After each experiment, it is required to submit the experiment report and ensure the authenticity of the experimental data. (Complete it after class)

Teaching language

English/Chinese Lecturer TBA Lab assistant TBA

Course Plan

In-class Schedule:

No. Item Content In-class hours Introduction, the speed regulation method of DC motor 1

(2) Controllable DC power supply –Motor system 2 Single closed-loop DC speed (3) Problems existing in the open-loop speed regulation regulation system system and the solutions 1 2 (4) The closed-loop DC speed regulation system using negative feedback of rotating speed (5) Problems existing in the optimal transition process and the single closed-loop DC speed regulation system

Speed - current double closed-loop (1) Composition and static characteristics of the speed - 2 DC speed regulation system current double closed-loop DC speed regulation system (2) Dynamic performance of the double closed-loop DC 2 2 speed regulation system (3) Engineering design of the DC speed regulation system 1

(1) Thyristor converter - DC motor (V-M) reversible 2 speed regulation system Reversible DC speed regulation 3 system and its application (2) Pulse width modulated inverter - DC motor (PWM- 2 M) (3) Main circuit and control mode of the reversible speed 1 regulation system (4) Digital DC speed regulation system

(5) Engineering application of DC drive 1 (1) Variable frequency speed regulation control

characteristics of asynchronous motor 2 (2)Variable frequency speed regulation device and its power supply characteristics (3) Brief introduction to frequency converter (4) Pulse width modulation (PWM) control technology in 2 4 Variable frequency speed the variable frequency speed regulation system regulation system of AC (5) The variable frequency speed regulation system of 2 asynchronous motor asynchronous motor based on steady state mathematical model (6) The vector variable frequency speed regulation system 2 of asynchronous motor based on dynamic mathematical model (7) The direct torque control variable frequency speed regulation system of asynchronous motor 1 (8) Application of frequency converter (1) Soft start of asynchronous motor Soft start and optimized energy- (2) Application cases of soft starter 5 saving control technology of 2 (3) Economical operation of asynchronous motor and asynchronous motor optimization of energy-saving control technology (1) Operating principle of cascade speed regulation and

Cascade speed regulation system thyristor cascade speed regulation system 2 of wound rotor asynchronous (2) Mechanical characteristics of cascade speed 6 motor regulation of wound rotor asynchronous motor (3) Technical and economic indicators and starting mode of cascade speed regulation (4) Doubly-fed speed regulation system for wound rotor 1 asynchronous motor (1) Comparison between synchronous motor and

Variable frequency speed asynchronous motor 2 7 regulation system of synchronous (2) Steady-state mathematical model and speed regulation motor method of synchronous motor (3) Other controlled variable frequency speed regulation system of synchronous motor (4) Automatic variable frequency speed regulation system of synchronous motor Total 32

After-class schedule: (64 class hours)

Homework is assigned three times, which is assigned in class and completed after class (6 class hours)

Course Experiment: Experiment I System parameter determination and open loop experiment (6 class hours) Experiment II Speed - current double closed-loop DC speed regulation system (6 class hours) Experiment III Debugging of frequency converter (6 class hours)

Case simulation: According to the requirements of the overall design content, search for relevant information, complete case design, and realize corresponding functions.

Case Simulation I Model and simulate electric drive systems (8 class hours) Case Simulation II Design modulation strategies for power electronics converters (8 class hours)

Case Simulation III Design appropriate current/voltage regulators for electric drives (12 class hours) Case Simulation IV Design speed and position controls for systems using electric drives (12 class hours)

Bibliography and teaching resources

1. Editor-in-chief Bai Jing. Motion Control System, Beijing: Higher Education Press, December, 2012 2. Editor-in-chief Ruan Yi. Automatic Control System for Electric Drive (Edition IV), Beijing: China Machine Press, January, 2010 3. Editor-in-chief Ding Xuewen. Motion Control System for Electric Drive (Edition II), Beijing: China Machine Press, October, 2014 4. Editor-in-chief Pan Yuedou. Automatic Control System for Electric Drive (Edition II) Beijing: China Machine Press, February, 2014 5. Editor-in-chief Chen Boshi. Automatic Control System for Electric Drive (Edition II) Beijing: China Machine Press, January 2012 6. Editor-in-chief Zhang Honglian. Motor and Electric Drive Control System, Beijing: China Machine Press, September, 2013 7. Editor-in-chief Gu Chunlei. Automatic Control System for Electric Drive and MATLAB Simulation (Edition II), Beijing: Tsinghua University Press, September, 2016 8. Editor-in-chief Tong Fuyao. Problem Sets of Automatic Control System for Electric Drive, Beijing: China Machine Press, July, 2015

Internet resources

Relevant websites of internet-based courses

Software

Requirements

• Matlab

Necessary Materials in class

Course WEB SITE: Most course info is on the book site or in Course Site. Chaoxing online courses, internet-based courses in China, national and provincial quality courses and other relevant websites

Introduction Electrical Power Systems is the main course in the Major of Electrical Engineering and Automation. The course is of applicative character and it primarily aims to provide the motivations, definitions and techniques for an effective approach on the study of power systems. Particular attention is paid to issues involving HV transmission systems both in steady state and in transients conditions.At the end of the course, the student will have sufficient knowledge in order to size, design and manage HV transmission, interconnected systems. Course Title Electrical Power Systems Course Scope The course content includes power flow calculation, safety analysis and fault analysis of electrical power systems.

3 ECTS Course Code

040129 Course Descriptor This course system reflects the typical theories and methods of modern power system analysis, which are closely related to the safety, stability and economic operation of modern power systems; emphasis is put on discussing the principles and methods for steady-state and transient analysis of electrical power systems with computer as the tool and corresponding mathematical theoretical methods as the basis.

Study Program

Master’s Degree in Electrical Engineering

Learning Outcomes

1. To enable students to master the basic principles and methods of power flow calculation in complex electrical power systems, as well as the basic concepts, mathematical models and algorithms of optimal power flow; 2. To master basic solution methods of power network equations; 3. To master the basic concept and compensation method of static security analysis of electrical power systems; the basic method of static equivalence in electrical power systems; 4. To understand the basic concept of state estimation in electrical power systems; 5. To master the analysis and calculation methods of complex faults.

Nominal Duration

Duration: 2 Semester Cycle: Yearly Starting Term: 2 Semester Workload:96Hours Presence (Direct):32 Hours 3 ECTS AssessmentCriteria 1.Team project and in-class activities 30% 2.Individual Presentation 10% 3.Homework 30% 4. Exam 30%

Module Contents

Module I Power flow calculation of complex electrical power systems Teaching requirements: (1) To master the establishment process of mathematical model for power flow calculation; (2) To master the basic process of power flow calculation with the Newton method; (3) To master the basic process of power flow calculation with the P-Q decomposition method; (4) To master the consideration of load characteristics in power flow calculation Main contents: Section I Mathematical Model for Power Flow Calculation Section II Newton Method for Power Flow Calculation Section III P-Q Decomposition Method for Power Flow Calculation Section IV Several Special Problems about Conventional Power Flow Module II Mathematical Model of Power Network and Its Solution Methods Teaching requirements: (1) To master the physical significance of admittance and impedance matrix; (2) To master the solution methods of power network; (3) To master the node numbering optimization of power network. Main contents: Section I Node Admittance and Impedance Matrix Section II Solution Methods of Power Network Equations Module III Optimal Power Flow in Electrical Power Systems Teaching requirements: (1) To master the basic concept of optimal power flow; (2) To master the basic method of solving optimal power flow. Main contents: Section I Mathematical Model of Optimal Power Flow Section II Optimal Power Flow Algorithm Module IV Security Analysis of Electrical Power Systems

Teaching requirements: (1) To master the static equivalence method; (2) To master branch outage simulation. Main contents: Section I Static Equivalence Method Section II Branch Outage Simulation for Static Security Analysis

Module V Fault Analysis of Electrical Power Systems Teaching requirements: (1) To master the computer calculation methods of simple symmetric and asymmetric fault; (2) To master the analysis and calculation methods of complex faults. Main contents: Section I Analysis and Calculation of Symmetric Fault Section II Analysis and Calculation of Simple Asymmetric Fault Section III Universal Composite Sequence Network for Simple Asymmetric Faults Section IV Two-port Network Equations and Analysis Methods for Complex Fault Analysis Prerequisite and Conditions Analysis of Electrical Power Systems, Advanced Power Network and other specialized courses Methodology Classroom teaching method and means: Multimedia teaching, heuristic method, discussionExtracurricular teaching method and means: system wiring / MATLAB simulation software for calculation and analysis. Independent completion, online submission and defense. Assessment Methods Homework Assignments:

Students will volunteer or be asked to discuss homework due that class period. Late homework will not be accepted. We will use Course Site to upload HW and do some online activities. We will use Course Site to upload HW and do some online activities. Please name the files (one file per homework, please) with your last name and then HW1, HW2, etc. If you have a special circumstance, let me know in advance. There will be both individually and group assignments. There is one extra credit homework assignment that you can do to make up for lost points. It is due the day of final exams.

Participation: Students are expected to actively participate in class and online by asking questions, working on in-class and exercises, giving presentations as individuals or as part of their team projects, and sharing personal experiences and opinions related to the topics discussed. Students who do not participate up to expectations or miss more than x in-class hours without a pre-approved or written excuse will have their final grades reduced by one grade . Be sure to contact me BEFORE you miss a class, if possible. Let me know about last minute emergencies via email or phone as soon as you can. Also, please do not use cell phones, laptops, or other devices in class unless you are asked to do so. Be present in class.

Case project report and assessment: All students are required to participate in case project report. Each student shall complete it independently and submit it online. The defense contents include design idea, model establishment, calculation result analysis, etc. Honesty:

Course Plan

In-class schedule: In-class No. Item Content hours Mathematical model for power flow calculation 2 Power flow calculation of Newton method for power flow calculation 3 1 complex electrical power P-Q decomposition method for power flow 2 systems calculation Several special problems about conventional 3 power flow 2 Mathematical model of power Node admittance and impedance matrix 2 network and its solution Solution methods of power network equations 2 methods 3 Optimal power flow in electrical Mathematical model of optimal power flow 2 power systems Optimal power flow algorithm 2 4 Power system security analysis Static equivalence method 2 Simulation of branch outage for static security 2 analysis 5 Power system fault analysis Analysis and calculation of symmetric faults 2 Analysis and calculation of simple asymmetric 2 faults Universal composite sequence network for 2 simple asymmetric faults Two-port network equations and analysis 4 methods for complex fault analysis 6 Total 32

After-class schedule (64 class hours) 1. Homework is assigned three times, which is assigned in class and completed after class (6 class hours) 2. System Simulation I Combined with the system wiring diagram, apply the MATLAB simulation software for power flow calculation with Newton method (12 class hours) 3. System Simulation II Combined with the system wiring diagram, apply the MATLAB simulation software for power flow calculation with P-Q decomposition method (12 class hours) 4. System Simulation III Combined with the system wiring diagram, apply the MATLAB simulation software for power flow calculation with optimal power flow algorithm (12 class hours) 5. System Simulation IV Combined with the system wiring diagram, conduct the simulation of branch outage for static security analysis (10 class hours) 6. System Simulation V Combined with the system wiring diagram, conduct analysis and calculation of simple asymmetric faults (12 class hours)

Bibliography and teaching resources

1. Theories and Methods for Modern Power System Analysis, Liu Tianqi, China Electric Power Press 2. Power System Analysis (Volume I), Zhu Junwei, China Electric Power Press, 2004, Edition IV 3. Modern Power System Analysis, Editor-in-chief Wang Xifan, 2000, Edition I, Science Press Internet resources Relevant websites of internet-based courses Software MATLAB/Labview Necessary Materials in class Chaoxing online courses, internet-based courses in China, national and provincial quality courses and other relevant websites

Introduction

The course Modern Power Electronics is a specialized basic course for postgraduates majoring in Electrical Engineering. Through learning this course, students can master the basic characteristics and operating principles of major power electronic devices, and master the characteristics, basic principles, basic control methods and basic analysis methods of power electronic conversion circuits. Course Title Modern Power Electronics Course Scope

Concept, development history and application of power electronics: Power electronic devices; rectifier circuit; DC-DC converter circuit; AC-AC converter circuit; inverter circuit; PWM control technology; soft switching technology; vector control; application of power electronics. Course Code

040102 Course Descriptor

Based on the theory of “power electronics”, starting from the research and technology of the power electronic system, this course discusses the contents of power electronic devices, power electronics topology foundation, switching converter modeling, control system design, vector control technology, MATLAB simulation of power electronics, etc., and provides a theoretical basis for the research of the power electronic power conversion system.

Study Program

Starting Term: 1

Learning Outcomes

The student who successfully completes this course: 1. Can apply the basic structure and principle of power electronic devices and circuits to analyze the performance and parameters of power electronic devices and circuits. 2. Can carry out expression and modeling in terms of power electronic circuits, conduct mathematical derivation, calculation and analysis, and ensure that the model meets the practical requirements for simulation and engineering calculation. 3. Can adopt scientific methods to choose research route on power electronic circuits and design feasible experiment schemes. 4. Can correctly select experimental instruments and devices, set up experimental systems, conduct scientific experiments safely and obtain experimental data. 5. Can correctly screen and process experimental data, and draw reasonable and effective conclusions through comprehensive analysis of information. 6. Can properly use Matlab/simulink software to build the simulation model of power electronic conversion circuits, and make simulation analysis. 7. Can write reports in compliance with the requirements according to specification; can speak on design issues, express design ideas and plans, and make effective communication and exchange with classmates and lecturers. 8. Can learn related design rules and regulations independently, and cultivate lifelong learning awareness.

Nominal Duration

Duration: 1 Semester Cycle: Yearly Starting Term: 1 Semester Workload: 96 Hours Presence (Direct): 32 Hours 3 ECTS

Assessment Criteria

EVALUATION:1. Team project and in-class activities 30% 2. Individual Presentation 10% 3. Homework 30% 4. Exam, Week 1-9 30%

Module Contents I. Basic concepts of power electronics 1. Main teaching contents Concept of power electronics; Development of power electronics; basic types of power electronic conversion circuits. 2. Requirements for knowledge points and ability Knowledge points: To master the related concepts of power electronics; to understand the development situation of power electronics and its status and role in the field of discipline of this major; to understand the important position, development direction and application prospect of power electronic transformation and control technology in national economy. Ability: To understand the development process of power electronics devices and their important role in the development of power electronics; to master the main contents, characteristics and learning methods of this course from the curriculum system, and establish the basic framework of learning, which is of guiding significance for the study of each chapter in the future. 3. Teaching focuses and difficulties Teaching focuses: The concept and two branches of power electronics; types of power electronic conversion technologies; the position and function of power electronics in the field of discipline of this major. Teaching difficulties: To understand the characteristics of close combination of theory and practice in this discipline; to master the current development direction and frontier technology of power electronics. II. Power electronic devices 1. Main teaching contents: Overview of power electronic devices; power diode; thyristor and derived devices; typical fully controlled devices. 2. Requirements for knowledge points and ability: Knowledge points: To understand the structure, appearance and symbol of various kinds of power electronic devices; to master the operating principle and basic characteristics of various power electronic devices; to understand and remember the main parameters of various power electronic devices; to understand the selection of power electronic devices; to understand the driving circuit principle of semi-controlled and fully controlled power electronic devices; to understand the overvoltage and overcurrent protection circuits of power electronic devices. Ability: Be able to apply the basic knowledge and theory of power electronics to describe the characteristics and operating principle of power electronics devices in the form of circuit diagram, mathematical model and etc., and analyze the drive circuit and protection circuit of power electronics devices. Be able to abstract practical engineering problems, select power electronic device model according to rated parameters of load, and ensure that the model meets the practical requirements of simulation and engineering calculation. 3. Teaching focuses and difficulties: Teaching focuses: Characteristics and classification of power electronic devices, operating principle, basic characteristics, main parameters and selection criteria of various power electronic devices. Teaching difficulties: The principle of power electronic device drive circuits, various protection circuits of power electronic devices. III. Rectifier circuit 1. Main teaching contents: Single-phase controllable rectifier circuit; three-phase controllable rectifier circuit; the effect of transformer leakage reactance on rectifier circuit; harmonic and power factor of rectifier circuit; active inverter operating state of rectifier circuit. 2. Requirements for knowledge points and ability: Knowledge points: To master the operating principle, waveform analysis and parameter calculation of various rectifier circuits with resistive, inductive and counter EMF loads; to understand the effect of transformer leakage reactance on rectifier circuits; to master the concept of inversion, the condition of the occurrence of inversion, the meaning of the restriction of inverter angle; be familiar with the function indicators of AC device, the method of improving power factor and the measures of suppressing harmonic. Ability: Be able to apply theoretical knowledge about mathematics and power electronic technology to express the problems about power electronic conversion, conduct mathematical derivation, calculation and analysis to the model of AC-DC power conversion technology problems, and obtain meaningful results. Be able to abstract the AC/DC conversion problems by applying the relevant knowledge of power electronics, and design the main circuit according to different load requirements to ensure that the circuit meets the actual requirements of simulation and engineering calculation. Be able to conduct experimental research on the resistance load of single-phase and three-phase rectifier circuits, and analyze the running state or fault cause of power electronic devices through correct collection, screening and processing of experimental data, and draw effective conclusions based on literature research. 3. Teaching focuses and difficulties Teaching focuses: Operating principle, waveform analysis and parameter calculation of single-phase bridge controllable rectifier circuit, three-phase half-wave controllable rectifier circuit, three-phase bridge controllable rectifier circuit with electrified inductive and inverse electromotive force load; active inverter state of rectifier circuit; harmonic analysis and power factor calculation of rectifier circuit. Teaching difficulties: Operating principle and waveform analysis of high-power controllable rectifier circuit. IV. DC-DC converter circuit

1. Main teaching contents: Basic chopper circuit; compound chopper circuit; multiphase multi-chopper circuit; DC-DC conversion circuit with isolation. 2. Requirements for knowledge points and ability: Knowledge points: To master the circuit structure, operating principle and control mode of the basic DC-DC conversion circuit; be familiar with the circuit principle of compound chopper circuit and multiphase multiple-chopper circuit. To understand the circuit principle of DC-DC conversion circuit with isolation. Ability: Be able to apply theoretical knowledge about mathematics and power electronic technology to express the problems about power electronic conversion, conduct mathematical derivation, calculation and analysis to the model of DC-DC power conversion technology problems, and obtain meaningful results. Be able to conduct experimental research on DC-DC conversion, draw reasonable and effective conclusions through correctly collecting, screening and processing experimental data through information synthesis, improve solutions, and give feedback to practical applications. 3. Teaching focuses and difficulties Teaching focuses: The operating principle, circuit analysis and quantitative calculation of the basic chopper circuit for buck, boost and buck-boost. Teaching difficulties: Operating principle and circuit analysis of compound chopper circuit. V. AC-AC converter circuit 1. Main teaching contents: Single-phase AC voltage regulating circuit; Three-phase AC voltage regulating circuit; AC- AC frequency conversion circuit; matrix frequency conversion circuit. 2. Requirements for knowledge points and ability: Knowledge points: To master the operating principle, waveform analysis and quantitative calculation of AC voltage regulating circuit under resistive load and resistive-inductive load; to master the operating principle of single-phase AC-AC frequency conversion circuit; to understand the operating principle of matrix frequency conversion circuit. Ability: Be able to apply theoretical knowledge about mathematics and power electronic technology to express the problems about power electronic conversion, conduct mathematical derivation, calculation and analysis to the model of AC-AC conversion problems, and obtain meaningful results. Be able to conduct experimental research on AC-AC conversion, draw reasonable and effective conclusions through correctly collecting, screening and processing experimental data through information synthesis, improve solutions, and give feedback to practical applications. 3. Teaching focuses and difficulties Teaching focuses: Operating principle and application of single-phase current voltage regulating circuit; circuit composition and operating principle of single-phase AC-AC frequency conversion circuit. Teaching difficulties: Operating principle and application of three-phase current voltage regulating circuit and frequency conversion circuit. VI. Inverter circuit

1. Main teaching contents: Mode of conversion: Voltage type inverter circuit; current type inverter circuit; multiple inverter circuit and multilevel inverter circuit. 2. Requirements for knowledge points and ability: Knowledge points: Be familiar with the basic operating principle of inverter circuit; to master the mode of commutation; to master the characteristics of voltage type inverter circuit and current type inverter circuit; to master the operating principle of voltage type inverter circuit and current type inverter circuit; to understand the characteristics of multiple inverter circuit and multilevel inverter circuit. Ability: Be able to apply theoretical knowledge about mathematics and power electronic technology to express the problems about power electronic conversion, conduct mathematical derivation, calculation and analysis to the model of DC-AC conversion problems, and obtain meaningful results. 3. Teaching focuses and difficulties Teaching focuses: Characteristics of voltage type inverter circuit and current type inverter circuit; the operating principle and waveform analysis of single-phase voltage type inverter circuit and single-phase current type inverter circuit. Teaching difficulties: Operating principle of three-phase voltage type inverter and three-phase current type inverter. VII. PWM control technology 1. Main teaching contents: Basic principle of PWM control: PWM inverter circuit and its control method; PWM tracking control technology; PWM rectifier circuit and its control method; basic concept of vector control; basic idea of vector control. 2. Requirements for knowledge points and ability: Knowledge points: To understand the basic principle of PWM control; to master the operating principle and control method of PWM inverter circuit; to understand PWM rectifier circuit and its control method; to understand the basic idea of space vector control. Ability: Be able to apply theoretical knowledge about mathematics and power electronic technology to express the power electronics, conduct mathematical derivation, calculation and analysis on the PWM control technology, and obtain meaningful results. 3. Teaching focuses and difficulties Teaching focuses: Basic principle of PWM control; the operating principle and control method of PWM inverter circuit. Teaching difficulties: PWM rectifier circuit and its control method; space vector control. VIII. Soft switching technology 1. Main teaching contents: Basic concept of soft switching; classification of soft switching circuits; typical soft switching circuit. 2. Requirements for knowledge points and ability: Knowledge points: To understand the basic concept of soft switching; to be familiar with the classification of soft switching circuits.

Ability: Be able to classify and determine the nature of power electronics control technology by applying the theoretical knowledge of power electronics; be able to understand typical soft switching circuits. 3. Teaching focuses and difficulties Teaching focuses: Basic concept of soft switching; classification of soft switching circuits. Teaching difficulties: Typical soft switching circuits. IX. Application of power electronics 1. Main teaching contents: Thyristor DC motor system; frequency converter and AC speed regulation system; uninterruptible power supply; switching power supply; power factor correction technology. 2. Requirements for knowledge points and ability: Knowledge points: To understand the composition, basic principle and characteristics of thyristor DC motor system; to master the basic structure and operating principle of AC-DC frequency converter; to understand the basic structure and operating principle of uninterruptible power supply; to understand switching power supply and power factor correction technology. Ability: Be able to analyze the running state of DC reversible electric drive system. 3. Teaching focuses and difficulties Teaching focuses: The basic principle and characteristics of thyristor DC motor system; operating principle of frequency converter; operating principle of uninterruptible power supply. Teaching difficulties: Basic principles of application of power electronics. X. MATLAB/Simulink simulation of power electronic circuits 1. Main teaching contents: Introduction to MATLAB/Simulink simulation technology and model library; realization of MATLAB/Simulink simulation of typical power electronics circuits. 2. Requirements for knowledge points and ability: Knowledge points: To understand the common simulation software of power electronics; to master the basic use method of MATLAB/Simulink software, with which the simulation and analysis of typical power electronics circuits can be conducted. Ability: Be able to apply MATLAB software to conduct simulation debugging and simulation towards the designed thyristor power electronic system. 3. Teaching focuses and difficulties Teaching focuses: Basic use methods of MATLAB/Simulink software. Teaching difficulties: The realization of MATLAB/Simulink simulation of typical power electronics circuits. Prerequisite and Conditions Circuit Theory, Analog Electronics Technology, Electrical Machinery Theory Methodology The classroom teaching method of inspiration, participation and discussion is adopted. While teaching basic theories and concepts, it attaches importance to the training of research ability, such as proposing research object problems, comparing and improving schemes, analyzing ideas, especially puts emphasis on the training of comprehensive research and design ability of power electronics system. Assessment Methods Homework Assignments: Students will volunteer or be asked to discuss homework due that class period. Late homework will not be accepted. We will use Course Site to upload HW and do some online activities. Please name the files (one file per homework, please) with your last name and then HW1, HW2, etc. If you have a special circumstance, let me know in advance. There will be both individually and group assignments. There is one extra credit homework assignment that you can do to make up for lost points. It is due the day of final exams.

Participation: Students are expected to actively participate in class and online by asking questions, working on in-class and exercises, giving presentations as individuals or as part of their team projects, and sharing personal experiences and opinions related to the topics discussed. Students who do not participate up to expectations or miss more than 10 in-class hours without a pre-approved or written excuse will have their final grades reduced by one grade . Be sure to contact me BEFORE you miss a class, if possible. Let me know about last minute emergencies via email or phone as soon as you can. Also, please do not use cell phones, laptops, or other devices in class unless you are asked to do so. Be present in class.

Makeup Tests: Requests for makeup tests must be made in advance with the instructor or the student will get no credit for that item. Either leave a phone message or send an e-mail message in case of a last minute emergency and we’ll try to work things out.

Honesty:

Presentations: All college graduates need to develop good speaking skills, since it is very important for project management. • Each student will give one individual presentation in class and post it in class online platform, and part of a team final project presentation. The individual presentation should be a 10-15 minute presentation and include visual aids like PowerPoint slides, Prezi software, access to online resources, or use of other software.

MATLAB/Simulink Simulation Assignments

1. Students can choose a question from the questions given by the lecturer in groups. The question shall conform to the engineering practice, with certain difficulty and enough workload. 2. Students can independently and correctly design the overall scheme of the system and draw the schematic diagram of the whole system. 3. Design of system hardware circuits: It includes main circuit design, drive circuit design, protection circuit design, etc. 4. Parameters calculation of main circuit and protection circuit, equipment model selection. 5. The Matlab simulation software is applied to conduct simulation analysis of power electronic circuits, compare and analyze program results. 6. Draw electrical schematic diagram and write design report. The report shall be well- organized, and the drawing shall meet the national standards in terms of graphics, symbols, lines, etc.

Basic requirements for experiments No. Item Basic requirements Class hours Type Performance 1. Be able to correctly use scientific method to formulate analysis of experiment schemes of single-phase bridge rectifier circuit for single - 1 power electronic circuits, establish the experimental system, carry phase bridge controllable out scientific experiment and obtain experimental data; 2. Be able to correctly screen and process voltage and current rectifier 2 Confirmatory circuit experimental data, analyze the performance of single-phase bridge rectifier circuit, and draw reasonable and effective conclusions through information synthesis; 3. Be proficient in using voltmeter and oscilloscope to observe and analyze the performance of power electronic devices. Performance 1. Be able to correctly connect the experimental circuit of three- analysis of phase bridge controllable rectifier circuit and obtain experimental three-phase 2 data; bridge controllable 2. Be able to correctly screen and process voltage and current rectifier experimental data, analyze the performance of three-phase bridge 4 Designability circuit controllable rectifier circuit, and draw reasonable and effective conclusions through information synthesis; 3. Be proficient in using voltmeter and oscilloscope to observe and analyze the performance of power electronic devices.

Performance 1. Be able to correctly connect the DC chopper circuit and the study of DC experimental circuit of buck-boost circuit, verify the dynamic and chopper 3 static characteristics of chopper circuit, and obtain experimental circuit data; 2. Be able to correctly test the driver and protection link of the driver module EXB841 circuit; to master the debugging of pulse width modulation circuit and the analysis of load voltage 2 Confirmatory waveform; 3. Be able to correctly screen and process voltage and current experimental data, analyze the performance of DC chopper circuit, and draw reasonable and effective conclusions through information synthesis; 4. Be proficient in using voltmeter and oscilloscope to observe and analyze the performance of power electronic devices. Performance 1. Be able to correctly connect the experimental circuit of AC study of voltage regulation circuit, verify the dynamic and static single-phase 4 characteristics of single-phase AC circuit, and obtain experimental AC voltage regulation data; circuit 2. To master the operating principle of integrated sawtooth wave synchronous trigger circuit (KC05), and determine the voltage Comprehensiv waveform of the main working point of KC05 circuit; 2 eness 3. Be able to correctly screen and process voltage and current experimental data, analyze the performance of AC voltage regulation circuit, and draw reasonable and effective conclusions through information synthesis; 4. Be proficient in using voltmeter and oscilloscope to observe and analyze the performance of power electronic devices.

The experiment mainly evaluates students’ basic experimental operation skills of rectifier circuit, chopper circuit and AC voltage regulation circuit, and basic training of experimental process design, whether students carefully write experimental report, and analyze the experimental phenomena and results.

Final Project Notebooks • By the last day of class, each team will present a formal, final presentation and hand in a project notebook (stapled pages are fine or a slim cover – not a binder or I’ll take off a few points!). The presentation and info in the notebook should all be on the Google site as well. If you do a case study, put all of that information together in your notebook. If you do a real project, include the following information. Part of the grade for the team project will be based on the team’s final presentation and progress reports, and part of grade will be based on the quality of the project and its notebook (one notebook per team, due the last day of class). Team project managers will earn a small amount of extra credit for successfully leading their project teams.

Teaching language

English/Chinese

Lecturer

TBA Lab assistant TBA

Course Plan

No. Item Contents Class hours

(1) Concept of power electronics (2) Development of power electronics 1 2 Basic concepts (3) Application of power electronics (4) Basic types of power electronic conversion circuits

(1) Overview of power electronic devices (2) Semi-controlled devices (Thyristor and derived devices) (3) Typical fully-controlled devices (GTO, P-MOSFET, GTR, Power electronic IGBT, etc.) 2 2 devices Seminar 4

(1) Single-phase controllable rectifier circuit 2 (2) Three-phase controllable rectifier circuit 2 (3) The effect of transformer leakage reactance on rectifier circuit 2

(4) Active inverter operating state of rectifier circuit 2 (5) Harmonic and power factor of rectifier circuit 3 Rectifier circuit 2 Seminar 6 Experiment I: Performance analysis of single-phase bridge controllable rectifier circuit 2

Experiment II: Performance analysis of three-phase bridge controllable rectifier circuit 4

(1) Basic chopper circuit, compound chopper circuit and multiphase multiple chopper circuit 2 DC chopper 4 Seminar circuit 4

Experiment III: Performance study of DC chopper circuit 2 (1) AC voltage regulation circuit AC-AC converter 2 5 circuit (2) AC-AC frequency conversion circuit 2

No. Item Contents Class hours Seminar 4 Experiment IV: Performance study of single-phase AC voltage regulation circuit 2

(1) Common modes of conversion (2) Voltage type inverter circuit 2

6 Inverter circuit (3) Current type inverter circuit 2 Seminar 4 (1) Basic principle of PWM control (2) PWM inverter circuit and its control method 2 PWM control 7 technology Seminar 4 (1) Basic concept of soft switching, classification of soft switching circuits Soft switching 8 (2) Typical soft switching circuits 2 technology

(1) Thyristor DC motor system (2) Frequency converter and AC speed regulating system Application of 2 9 power electronics (3) Uninterruptible power supply

Seminar 4 (1) Introduction to MATLAB/Simulink simulation technology and model library (2) Realization of MATLAB/Simulink simulation of typical MATLAB/Simuli power electronics circuits 2 nk simulation of 10 power electronic circuits Seminar 4

Assignments 20 Total 96

All contents in each seminar shall be submitted in a PowerPoint presentation or other teaching documents. Bibliography and teaching resources

1. Editor-in-chief Wang Zhao’an, Liu Jinjun, Power Electronics (Edition V), Beijing: China Machine Press, September, 2010 2. Lin Weixun, Modern Power Electronics Converter Technology, Beijing: China Machine Press, October, 2013

3. Editor-in-chief Li Hong, Foundation of Modern Power Electronics, Beijing: China Machine Press, January, 2010 4. Editor-in-chief Zhou Yuanshen, Power Electronics and MATLAB Simulation (Edition II), Beijing: China Electric Power Press, August, 2014

Internet resources

Additional Websites and online resources will be recommended during the lecture Software

Microsoft Project MATLAB/Simulink Labview

Necessary Materials in class

Course WEB SITE: Most course info is on the book site or in Course Site.

Introduction

This course descriptor contains course overview, prerequisites, ECTS workload and total indicative study hours, intended learning outcomes, indicative course content, teaching and learning methods, indicative assessment methods and strategy, indicative learning resources and software. Course Title

Virtual Enterprise Course Scope

Credit Points: 2 ECTS

Workload: 72 Hours

Course Code 040142 Course Descriptor

This course is aimed at acquirement basic knowledge and competences of simulating electrical and electronic circuits and systems with Multisim, designing printed circuit boards and preparing them for manufacturing with Ultiboard, implementing specifications into a design of an entire system with Labview. Study Program

Master’s Degree in Electrical Engineering

Learning Outcomes

The student who successfully completes this course will:

1. Learn how to use Multisim to create circuit model and system model, how to use Multisim Simulation, how to use ultiboard to create complex PCB design, and how to use LabVIEW to design graphic system. 2. Be able to apply the theoretical knowledge of circuit theory, electronic technology, automatic control technology and other courses, complete the design and demonstration of the scheme, design the block diagram of the system composition, and complete the design of the corresponding circuit and system from the requirements of the simulation project design module. 3. Be able to master the graphic system design of virtual instrument, modular programming method of virtual instrument, data drawing method of virtual instrument, structure design method of virtual instrument, control method of virtual instrument and motion control method of virtual instrument. 4. Be able to combine safety, environment, economy and other factors, complete the feasibility analysis of the system design scheme through the corresponding management software, and be able to write the design report meeting the requirements according to the specifications.

5. Be able to use network resources to obtain corresponding technical data, have the ability to consult and sort out data, and have the ability to model, analyze and solve complex engineering problems.

6. Be able to make statements and opinions on design issues, express design ideas and plans, and communicate effectively with students and teachers. Nominal Duration

Duration: 1 Semester Cycle: Yearly Starting Term: 1st Semester Workload: 72 Hours Presence (Direct): 32 Hours Credit Points: 2 ECTS

Assessment Criteria

Assessment method: the main purpose of course assessment is to assess the achievement of course objectives 1. Process assessment – 30% 2. Achievement assessment – 30% 3. Defense assessment - 40%

The 100 point system is adopted for process performance, achievement performance and defense assessment, and the five-level scoring system is adopted for the overall assessment. Among them, 90 points and above are "excellent", 80-89 points are "good", 70-79 points are "medium", 60-69 points are "pass", and 60 points and below are "fail".

In case of any of the following circumstances in the design process, the total score shall be deemed as failure. Absenteeism for more than 2 days without any reason, failure to submit or late submission of design results without any reason, failure to participate in defense without any reason, plagiarism of design results, etc. Module Contents

DRAFT MODULE SCHEDULE Module 1: Modeling and Simulation of complex circuit with Multisim Topic 1: Design of virtual signal generator o Design and implementation of common sources in communication system. Creating a virtual signal generator VI, creating icons and connectors for VI, and calling a VI program as a sub VI. Displaying the data in a graphic way, and analyzing the spectrum of the data. Converting the source to the hexadecimal data commonly used in digital system. Realizing the remote sharing of the source. o Lectures: 3 Hours. o Tutorials: 3 Hours. o Self-directed study: 10 Hours. Topic 2: Design of virtual oscilloscope o to write LabVIEW simulation signal source experiment program, it is required to produce square wave, DC, sine wave, triangle wave, sawtooth wave and other waveforms, and the parameters of various waveforms are adjustable and controllable. Using the XY graphic display in LabVIEW, input different signal waveform combinations at the X and Y input terminals, and observe the real experimental graphics. o Lectures: 3 Hours. o Tutorials:3 Hours. o Self-directed study: 10 Hours.

• Module 2: Design of a bipolar junction transistor common emitter amplifier PCB with ultiboard o Topics: Working with circuit parts. Working with Traces and Copper. Autorouting and Autoreplacement in Ultiboard. Preparing for manufacturing. Viewing designs in 3D. Using mechanical CAD. o Lectures: 4 Hours. o Tutorials:4 Hours. o Self-directed study: 12 Hours.

Module 3：Control circuit design of dimming lamp o Topics: in the electronic circuit, the 220V AC voltage is converted into DC voltage, and the voltage at both ends of the lamp is controlled by the trigger circuit, so as to realize the control of the dimming lamp. Drawing up the design scheme of dimming lamp circuit, the design of rectifier circuit, voltage stabilizing circuit and trigger circuit, mastering the steps and methods of dimming lamp circuit design, and completing the compilation and debugging of software program. o Lectures: 3 Hours. o Tutorials: 3 Hours. o Self-directed study: 8 Hours.

Module 4: Using LabVIEW to establish DC motor speed control system Topics: Modular programming in Labview. o The design of hardware circuit includes main circuit, drive circuit, control circuit, detection circuit, protection circuit, etc. Completing the compilation and debugging of modular software program, and realizing the control of motor speed control system. o Lectures: 3 Hours. o Tutorials: 3Hours. o Self-directed study: 8 Hours. Prerequisite and Conditions

Below you will find prerequisites for Virtual Enterprise course:

A. Circuit technology

B. Electronic Technology

C. Power electronics technology

D. Automatic control technology

E. Economics. Methodology

Lectures, homework assignments, in-class exercises, group discussions, presentations, laboratory assignments, and final exam will be used to aid in understanding and application of modern technologies for virtual enterprise. Assessment Methods

Process assessment: including the completion process of classroom teaching, group discussion and homework. Students have clear design goals and clear ideas in the design process. It can calculate the parameters of main circuit and control circuit, and the calculation result is accurate. According to the requirements of dimming lamp circuit, the software and hardware circuits of the system can be designed correctly, and the selection of components is correct and the economy is reasonable. Matlab software can be used to debug and simulate the designed circuit, and the simulation results are correct.

Achievement assessment: including circuit schematic diagram and submission of course design report. It is required to write in A4 format, with words of 6000-8000 (excluding appendix); appendix and simulation debugging screenshot can be printed in A4 format. The preparation of the course design report shall be clear and orderly, and the drawing shall conform to the national standards of graphics, symbols, lines, etc. The main body of the design report includes the purpose and significance of the subject design, system scheme design and determination, system hardware design, system software design, matlab simulation debugging and other chapters. The contents and order of each chapter can be set by yourself; summary; reference; appendix, including software program list and system hardware schematic diagram.

Examination of oral defense: the students have clear thinking, fluent language, outstanding key points and completely clear description of the design content in the process of oral defense. The basic concept of answering questions is clear, the answers are accurate and comprehensive, and there is a certain theoretical depth. Teaching language

English

Course Plan

We’ll add individual presentations to the schedule as soon as possible, and I’ll post updated schedules in Course Site. We’ll try to spread presentations out and have them fit in with lecture topics, as possible. Submit all assignments through Course Site, plus send me via email and work on your team projects and post results to your Google site. Check due dates and times in Course Site.

DRAFT CLASS SCHEDULE（Timetable）

• Lecture 1: Using Multisim to build circuit simulation module o Topics: Multisim graphic interface, connection of parts of the scheme, hierarchical design, components editing, rules for constructing schemes, updating annotation for Ultiboard, database components. • Lecture 2: Multisim simulation possibilities. o Topics: mixed analog-digital simulation, expanded model support, irrational, interactive, animated parts of the scheme, measuring probes, microcontroller emulation, interactive component modeling, parallel LabVIEW simulation, filter control, pulsed power sources simulation,. • Lecture 3: Using ultiboard to design a PCB o Topics: Beginning and setting up a printed circuit design. Working with circuit parts. Working with Traces and Copper. • Lecture 4: Using LabVIEW to design dimming light control circuit • Lecture 5: Using LabVIEW to establish DC motor speed control system

• Exercise session 1: Modeling and Simulation of analog circuit with Multisim • Exercise session 2: Modeling and Simulation of digital circuit with Multisim • Exercise session 3: Using ultiboard to design a PCB • Exercise session 4: Using LabVIEW to design dimming light control circuit • Exercise session 5: Using LabVIEW to build a simulation of motor speed control system Bibliography and teaching resources

Basic References:

6. Yang Leping , LabVIEW Program Design and Application (2nd Edition), Electronic Industry Press, 2007 7. Liu Junhua, Virtual Instrument Design based on LabVIEW, Electronic Industry Press, 2003 8. Zhan Huiqin,etc, Virtual Instrument Design, Higher Education Press, 2008

Supplementary References:

1. James W. Nilsson, Susan Riedel, Introduction to Multisim for Electric Circuits (published in 2018). 2. John Essick, Hands-On Introduction to LabVIEW for Scientists and Engineers (published in 2018).

Internet resources

a. https://www.academia.edu/28766509/Multisim_Basics_Schematic_Capture _and_Simulation_Day_1_of_2_Hands-On_Training

b. https://www.ni.com/ru-ru/innovations/white-papers/13/ni-multisim-and- ni-ultiboard-online-training.html

c. https://www.altoo.dk/LN-Course+-+Electronics+10- +PCB+layout+with+NI+Ultiboard.htm

d. http://sine.ni.com/tacs/app/fp/p/ap/ov/lang/ru/pg/1/sn/n8:28/

e. https://www.sap.com/training-certification/free-training.html

f. Other websites and online resources will be recommended.

Software

Following software:

a. Multisim (National Instruments) b. Ultiboard (National Instruments) c. Labview (National Instruments) d. SAP ERP. Necessary Materials in class

Course WEB SITE: Most course info is in Course Site.

Lanzhou University of Technology

COURSES SYLLABUS FOR INSPIRE MASTER PROGRAM

Pattern Recognition - 3 ECTS DSP Principle and its Application -3 ECTS Analysis and Control of Power Quality-3 ECTS Virtual enterprise-2 ECTS

Introduction

Pattern recognition is one of the most important components of control systems, information processing and decision making. In the process of recognition, problems associated with the classification and identification of objects, phenomena and signals, characterized by a finite set of properties and signs, are solved. Image processing and classification are used in monitoring and data analysis, in security systems, information retrieval systems and for other applied purposes. Pattern recognition allows you to recognize an infinite number of objects based on familiarization with their finite number, and the objective nature of the basic property of images allows you to simulate the process of recognition. The theory of pattern recognition is actively developing in connection with the creation of artificial intelligence systems that allow to set tasks and develop algorithms for solving them, use the necessary methods for pattern recognition, implement selected or developed algorithms The relevance of pattern recognition problems is based on the growing demand for science, economics, and industry in their solutions in the form of ready-made smart devices and application software packages, which requires a constant search for new, better theoretical, algorithmic, and technical solutions. Course Title Pattern Recognition Course Scope

This course is intended to obtain theoretical knowledge and practical skills in the field of classification, distinguishing features, generating features, matching patterns of physical phenomena in complex information processing. (Getting theoretical knowledge and practical skills in the area of classifying, feature selecting, feature generating, template matching of physical phenomenon in Complex Information-processing).

As part of this course, a discussion of the following issues is planned:

- Classifiers based on Bayes Decision

- Linear classifiers

- Nonlinear classifiers

- Feature selection

- Feature generation

- Template matching

- Supervised learning

- Clustering algorithms

Course Code LUT PR Course Descriptor The formation of interrelated skills and knowledge on the development (research and engineering and technical activities) and the practical application of modern methods of pattern recognition in various systems for processing information. Study Program Master’s Degree in Electrical Engineering Learning Outcomes The student who successfully completes this course: • Understands modern means of automation of scientific research; • Understands principles and methods of constructing the software; • Describes logical organization and stages of designing software for information and measurement systems; • Understands modern tools and programming technologies; • Describe the theoretical foundations of skills in software development for complex information and measurement systems; • Demonstrate skills in the use of hardware and software to automate scientific research; • Demonstrate skills of searching and exchanging information in global and local computer networks; • Demonstrate skills of programming systems for solving professional problems; • Demonstrate skills in the development and debugging of software for information and measurement systems; • Have the ability to search and analyze scientific and technical information and select the necessary materials; • Have the ability to use hardware and software to automate scientific research; • Have the ability to use programming languages to solve professional problems; • Have the ability to apply theoretical knowledge, basic and applied information technologies in the field of professional activity for creating software solve applied problems in accordance with the technical task for the development of the information- measuring system; • Have the ability to justify the choice of effective special software and hardware.

Nominal Duration Duration: 1 Semester Cycle: Yearly Starting Term: 3 Semester Workload: 120 Hours Presence (Direct): 36,0 Hours 3 ECTS Assessment Criteria EVALUATION: 1.Team project and in-class activities30% 2.Individual Presentation 30% 3.Homework 35 % 4. Exam 5 % Module Contents Module 1 General pattern recognition process Module 2 Statistical methods for pattern recognition Module 3 Neural network pattern recognition methods Prerequisite and Conditions

Some math knowledge: Basic statistics, basic university, or advanced high school. Basic programming skills preferably NI LabVIEW. Before taking this course, you must already have completed the following courses: • Theory of Probability and Mathematical Statistics; • English language; • Mathematical logic and theory of algorithms; • Intelligent systems; • Field model experiment in instrument making; • Methodology of scientific research and scientific and technical creativity in information and measuring systems and technologies; • Mathematical models of devices and systems; • Information Technology;

Methodology Lecture, online activities, homework, in-class exercises, group discussion, presentations, exams, and team projects will be used to aid in understanding and application of methods and systems of pattern recognition

Assessment Methods

Presentations:

All students need to develop good speaking skills, since it is very important for project work in real-world tasks.

Each student will give one individual presentation in class, and part of a team final project presentation. The individual presentation should be a 5-10 minute presentation and include visual aids like PowerPoint slides or use of other software. Also note references, such as quotes, statistics, etc. on specific slides/pages. Provide a hard copy to me (6 slides per page if using PowerPoint) and make it available electronically in via email (or upload course web platform) before your presentation. Presentations will be evaluated based on content, delivery, and response. A copy of the evaluation sheet is provided on the last page of this syllabus. I will determine presentation grades right after you present, and one of your classmates will also provide written feedback. If you change your scheduled presentation date without an approved excuse, your presentation grade will be reduced by 10%. There are a few other topics I would like students to volunteer for, as listed below:

- simulation methods in the tasks of evaluating the effectiveness of recognition systems; - The main criteria and directions for improving the quality of recognition systems; - Features and methods for automating optimal clustering tasks; - principles of image analysis in pattern recognition problems; - application areas of artificial neural networks; - purpose and features of the construction of vision systems

Course Team Projects & HomeWork:

The purpose of the team project is to use a structured approach to intellectual systems in a team setting (3-5 students/team). Examples include creating a measurement of informatic system for a potential industry, preparing a research report for an organization, working on a case study in the text, etc. I normally let teams self-select and assign people to teams as needed after we decide on the projects. One person could take the lead on each task, but other team members should provide inputs and edit the work so it is consistent and of high quality and reflects a team effort. Each team member should plan to spend 30-40 hours total on the team project, excluding time in class. You can meet both online and offline. You must have the advisor email me to approve the project after you propose it if you really want to work on it. The advisor must provide feedback at least 3 times during the term, including a final assessment.

Teaching language

English/Chinese [edit] Lecturer

TBA [edit] Lab assistant

TBA Course Plan

Lecture 1: An Introduction to Pattern Recognition. o Agenda

- Basic concepts and definitions of the modern theory of pattern recognition.

- Information processing in solving typical pattern recognition problems. LabVIEW visual and graphical programming environment for pattern recognition tasks.

- Classification of basic approaches to information processing. o Topics

- Simple and complex recognition systems, block diagrams of recognition systems;

- Random variables: a complete probabilistic description;

- Pre-processing of information about the object and the formation of the vector of signs;

- Classification and digital signal processing

- Modeling deterministic and random digital signals

- Application of LabVIEW environment in pattern recognition tasks o References

1. Bishop C. Pattern Recognition and Machine Learning. - Springer-Verlag New York, 2006, 738 p.

2. Barseghyan A., Kupriyanov M., Kholod I., Tess M., Elizarov S. Analysis of data and processes. St. Petersburg: BHV-PETER, 2009.512 s.

3. Burger W., Burge M. J. Principles of Digital Image Processing. - Springer-Verlag London, 2013, 369

• Lecture 2: Patterns and recognition methods o Agenda

- Classic recognition methods.

- Neural network recognition methods o Topics

- Deterministic methods of recognition. Heuristic methods and algorithms. The method of constructing standards. The method of potential functions. Statistical recognition methods. Bayesian approach. Linear and nonlinear classifiers. Clustering Algorithms.

- Neural network classification and recognition. Use of the perceptron. Using the Kohonnen Network. The use of Hopfield and Hamming networks. Neuroevolutionary pattern recognition. o References

1. Bishop C. Pattern Recognition and Machine Learning. - Springer-Verlag New York, 2006, 738 p.

2. Rutkovskaya D., Pilinsky M., Rutkovsky L. Neural networks, genetic algorithms and fuzzy systems -

M .: Hot Line - Telecom, 2013, 384 p.

3. Mazurov V. D. Mathematical methods of pattern recognition: a training manual / - 2nd ed., Ext. and reslave. - Yekaterinburg: Publishing House of the Ural University, 2010, 101 p.

• Lecture 3: Pattern Recognition Information Systems

o Agenda

- Areas of application for pattern recognition systems. Hardware and software for pattern recognition.

- Recognition of graphic objects.

- Recognition of non-graphic objects. o Topics

Classification systems. Recognition systems for printed and handwritten text. Face recognition. Recognition of graphic images of an arbitrary nature. Speech recognition. Recognition of situations. LabVIEW visual and graphical programming environments for pattern recognition tasks o References

1. Bishop C. Pattern Recognition and Machine Learning. - Springer-Verlag New York, 2006, 738 p.

2. Vizilter Yu.V., Knyaz V. A., Zheltov S. Yu. Processing and analysis of digital images with examples on Labview and Imaq Vision-M: DMK-Press, 2016, 464 p.

3. Vizilter Yu.V., Zheltov S.Yu., Bondarenko A.V. Processing and analysis images in problems of machine vision - M .: Fizmatkniga, 2010. - 672 p.

4. LabVIEW Environment Basics [Electronic resource] // National Instruments. URL: http://www.ni.com/getting-started/labview-basics/environment

• Final Exam

• Exercise session 1: Modeling and graphical display of typical deterministic and random digital signals using NILabVIEW

• Exercise session 2: Investigating an image recognition system using the NILabVIEW potential function method

• Exercise session 3: A study of the effectiveness of parametric and nonparametric Bayesian classification algorithms NILabVIEW

• Exercise session 4: NILabVIEW study of a perceptoron-based image recognition system

• Exercise session 5: Study of a Hopfield-based image recognition system using NILabVIEW

• Exercise session 6: Synthesis of a solution to a problem and design of a vehicle recognition system using NILabVIEW

• Exercise session 7: Synthesis of a solution to a problem and design of a system for recognizing product shape using NILabVIEW Bibliography and teaching resources

Basic References 1. Bishop C. Pattern Recognition and Machine Learning. - Springer-Verlag New York, 2006, 738 p. 2. Wang H., Weng C., Yuan J. Visual Pattern Discovery and Recognition – Springer Singapore, 2017, 87 p. 3. Burger W., Burge M. J. Principles of Digital Image Processing. - Springer-Verlag London, 2013, 369 p.

Supplementary References 1. Vizilter Yu.V., Knyaz V. A., Zheltov S. Yu. Processing and analysis of digital images with examples on Labview and Imaq Vision. - M.: DMK-Press, 2016, 464 p. 2. Duda R. O., Hart P.E., Stork D. G. Pattern classification. - New York: John Wiley & Sons, 2001, 738 p. 4. James G., Witten D., Hastie T., Tibshirani R. An Introduction to Statistical Learning: with Applications in R. - Springer-Verlag New York, 2013 .-- 426 p. 5. Aggarwal C. C. Neural Networks and Deep Learning. - Springer International Publishing, 2018, 497 p. 6. Webb A.R. Statistical Pattern Recognition. Chichester: John Wiley & Sons, Inc., 2002. 504 p. 7. Tampel I.B., Karpov A.A. Automatic Speech Recognition: Tutorial - St. Petersburg: NRU ITMO, 2016, 138 p8. LabVIEW Environment Basics [Электронный ресурс] // National Instruments. URL: http://www.ni.com/getting-started/labview-basics/environment

Scheduled Work Plan

W1: Course introduction, class survey. Simple and complex recognition systems, block diagrams of recognition systems. Random variables: full probabilistic description; Application of the LabVIEW environment in image recognition tasks. Exercise session 1: Modeling and graphical representation of typical deterministic and random digital signals using NILabVIEW. W2: Pre-processing of information about the object and the formation of the vector of signs; Classification and digital signal processing; Modeling deterministic and

random digital signals. Continue exercise session 1: Modeling and graphical display of typical deterministic and random digital signals using NILabVIEW. W3: Deterministic recognition methods. Heuristic methods and algorithms. Exercise session 2: Investigating an Image Recognition System Using NILabVIEW Potential Functions W4: Method for constructing standards. The method of potential functions. Continue exercise session 2: Investigating an image recognition system using the NILabVIEW potential function method. W5: Statistical recognition methods. Bayesian approach. Exercise session 3: Study of the effectiveness of parametric and nonparametric Bayesian classification algorithms NILabVIEW. W6: Linear and nonlinear classifiers. Clustering Algorithms. Continue exercise session 3: Study of the effectiveness of parametric and nonparametric Bayesian classification algorithms NILabVIEW. W7: Neural network classification and recognition. Use of the perceptron. Using the Kohonnen Network. Exercise session 4: NILabVIEW study of a perceptoron-based image recognition system. W8: Continue exercise session 4: NILabVIEW study of a perceptoron-based image recognition system W9: Using Hopfield and Hamming networks. Neuroevolutionary pattern recognition. Exercise session 5: Exploring a Hopfield-based image recognition system using NILabVIEW. W10: Continue exercise session 5: Exploring a Hopfield-based image recognition system using NILabVIEW W11: Classification systems. Recognition systems for printed and handwritten text. Face recognition. Exercise session 6: Synthesis of a solution to a problem and design of a vehicle recognition system using NILabVIEW tools. W12: Recognition of arbitrary graphics. Speech recognition. Recognition of situations. Continue exercise session 6: Synthesis of a solution to a problem and design of a vehicle recognition system using NILabVIEW. W13: Continue exercise session 6: Synthesis of a solution to a problem and design of a vehicle recognition system using NILabVIEW. W14: Continue exercise session 6: Synthesis of a solution to a problem and design of a vehicle recognition system using NILabVIEW. W15: Hardware and software for pattern recognition. Exercise session 7: Synthesis of a solution to a problem and design of a system for recognizing product shapes using NILabVIEW W16: Continue exercise session 7: Synthesis of a solution to a problem and design of a system for recognizing the shape of products using NILabVIEW. Executing Projects. Preparing for the Exam. W17: Continue exercise session 7: Synthesis of a solution to a problem and design of a system for recognizing the shape of products using NILabVIEW. Work on team deliverables. W18: Team final presentations & Exam.

Internet resources https://www.journals.elsevier.com/pattern-recognition-letters/ http://pleiades.online/ru/journal/patrec/ https://www.journals.elsevier.com/pattern-recognition/ http://www.ni.com Software

• NI LabVIEW

Introduction

Course provides theoretical knowledge and practical skills in the area of DSP Principle and its Application Course Title DSP Principle and its Application Course Scope

Main scope of this course is implementing measurements and automation of different equipment using DSP processors. Main focus is on the differences of DSP processors from common microcontrollers and desktop CPU and optimizations in programming using low-level assembler language.

Course Code

LUT DSP Course Descriptor

When conducting measurements or implementing complex control algorithms it is neccecery to have enought processing power. Microcontrollers usually too slow for such operations and should be exchanged for DSP processors. The objective of this course is to teach students how to optimize their programms to get maximum perfomance from DSP. After completion of this course students will know characteristics of DSP technology and devices; performance, hardware composition and working principle of TMS320F2812 DSP controller; environment of DSP development; enginerring technology of DSP development. Will be able to design control program by using DSP assembly language; design a system by using DSP controller; use testing and measuring equipment based on DSP; apply DSP to power system analog collecting and measuring. Study Program

Master’s Degree in Electrical Engineering

Learning Outcomes

The student who successfully completes this course: • Understands modern means of automation of scientific research; • Understands principles and methods of constructing the software; • Describes logical organization and stages of designing software for information and measurement systems; • Understands modern tools and programming technologies; • Describe the theoretical foundations of skills in software development for complex information and measurement systems; • Demonstrate skills in the use of hardware and software to automate scientific research; • Demonstrate skills of searching and exchanging information in global and local computer networks; • Demonstrate skills of programming systems for solving professional problems; • Demonstrate skills in the development and debugging of software for information and measurement systems; • Have the ability to search and analyze scientific and technical information and select the necessary materials; • Have the ability to use hardware and software to automate scientific research; • Have the ability to use programming languages to solve professional problems; • Have the ability to apply theoretical knowledge, basic and applied information technologies in the field of professional activity for creating software solve applied problems in accordance with the technical task for the development of the information- measuring system; • Have the ability to justify the choice of effective special software and hardware.

Nominal Duration

Duration: 1 Semester Cycle: Yearly Starting Term: 1 Semester Workload: 96 Hours Presence (Direct): 32 Hours Credit Points: 3 ECTS Assessment Criteria

EVALUATION: Exam 100% Module Contents

Lectures: 1. Constitution, characteristics and design process of DSP system 2. CPU and addressing modes of TMS320F2812 DSP controller 3. Memory and external interface XINTF

4. Interrupt system of DSP 5. On-chip peripherals of DSP 6. Event manager of DSP system 7. Integrated development environment CCS and programming 8. DSP system design Labs: 1. Lab 1: Working with Code Composer Studio. 2. Lab2: Working with peripherial of TMS320F2812 DSP controller 3. Lab3: Working with interrupts of TMS320F2812 DSP controller 4. Lab4: Working with event manager of TMS320F2812 DSP controller 5. Lab5: Individual project

Prerequisite and Conditions

This course belong to professional part of the programm and is mandatory for appling Master`s degree in Electrical Engineering. For studing this course students first should already know radioelectronics, physical foundations of electronics, semiconductor electronics, programming (preferrably in assemler language). Methodology

Lecture and lab activities and exams will be used to aid in understanding and application of project management. Assessment Methods

Participation: Students are expected to actively participate in class by asking questions, working on in-class and exercises and sharing personal experiences and opinions related to the topics discussed. Also, please do not use cell phones, laptops, or other devices in class unless you are asked to do so. Be present in class. Labs: Students are expected to complete all assignments and lab activities. Exam: On exam students have written test. Teaching language

English/Chinese

Lecturer

TBA Lab assistant

TBA Timetable

TBA Course Plan

DRAFT CLASS SCHEDULE: W1 Course introduction. Constitution, characteristics and design process of DSP system W2 CPU and addressing modes of TMS320F2812 DSP controller W3 Memory and external interface XINTF W4 Interrupt system of DSP W5 On-chip peripherals of DSP W6 Event manager of DSP system W7 Integrated development environment CCS and programming W7 Lab 1: Working with Code Composer Studio. W8 DSP system design W9 Lab2: Working with peripherial of TMS320F2812 DSP controller W10 Lab3: Working with interrupts of TMS320F2812 DSP controller W11 Lab4: Working with event manager of TMS320F2812 DSP controller W12 Lab5: Individual project W13 Final Exam Bibliography and teaching resources

Basic References 1. Ning Gaidi, Zeng xiangjun,Luo Yiping. DSP Controller Technique and Applications, The second edition, Science Press,2009. -412 p. //in Chinese 2. Wang Zhongyong, Chen Enqing. TMS320F2812 DSP Principle and Application Technology, The second edition, China Electronic Industry Press ,2012. -367 p.//in Chinese

Internet resources

1. TMS320F281x Digital Signal Processors datasheet http://www.ti.com/lit/ds/symlink/tms320f2811.pdf 2. Code Composer Studio (CCS) Integrated Development Environment (IDE) http://www.ti.com/tool/CCSTUDIO Software Requirements

1. Code Composer Studio v6 or newer. Necessary Materials in class

Projector for presentation, PC for the lector and PC for each student in class, one development kit with TMS320F2812 DSP per student. All issues of the course are covered in the textbook. Each student should have a notebook for recording lectures and stationery.

Introduction This program contains basic information about the structure of the discipline, the types of contact and independent work of students, as well as the resources necessary for its study.

Course Title Analysis and Control of Power Quality

Course Scope 3ECTS

Course Code LUT ACPQ

Course Descriptor Analysis and Control of Power Quality

Study Program Master’s Degree Program in electrical engineering

Learning Outcomes Knowledge • Highly specialized knowledge, some of which is at the forefront of knowledge in a field of work or study, as the basis for original thinking; • Critical awareness of knowledge issues in a field and at the interface between different fields; • Methods of organizing and conducting measurements; • Principles of construction and organization of functioning of intelligent measuring systems; • Bases of intelligent measuring systems design. Skills • Specialized problem solving skills required in research and/or innovation to develop new knowledge and procedures and to integrate knowledge from different fields; • Skills in the processing and analysis of information;

• Methods of modeling and adjusting of information and measuring systems; • Computer systems for modeling and designing of instrument-making equipment. Ability • Whenever possible make an appropriate and argued contribution within a multidisciplinary environment; • Manage and transform work or study contexts that are complex, unpredictable and require new strategic approaches; • Take responsibility for contributing to professional knowledge and practice and/or for reviewing the strategic performance of teams; • Process and analyze the results of measurements; • Plan experimental measurements; • Perform a model computer experiment, obtain and process experimental data.

Nominal Duration Duration: 1 Semester Cycle: Yearly Starting Term: 2 Semester Workload: 120 Hours Presence (Direct): 32 Hours 3 ECTS

Assessment Criteria Discipline is considered passed if the tests and reports on labs are successfully completed.

Module Contents Module 1. Introduction to power quality. Module 2. Modeling and analysis of power system items. Module 3. Practical aspects of power quality management.

Prerequisite and Conditions To study the course « Analysis and Control of Power Quality» the student must know the basic measurements, tools and systems in electric power industry.

Students are expected to actively participate in class by asking questions, working on in-class and exercises, giving presentations as individuals or as part of their team projects, and sharing personal experiences and opinions related to the topics discussed. Students who do not participate up to expectations or miss more than 3 in-class hours without a pre-approved or written excuse will have their final grades reduced by one grade. Control Tests: Control tests at the end of each module are conducted to assess the assimilation of theoretical material for lectures and when studying independently at home.

Teaching language Chinese/English

Lecturer TBA

Lab assistant TBA

Timetable Weeks 1-8: lecture classes – 2 or 4 academic hours every week. Weeks 9-15: laboratory classes – 2 academic hours every two weeks.

Course Plan Lecture classes Module 1. Introduction to power quality. Lecture 1. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Definition and classification of power quality. • References: - C. Haozhong Power quality; - A. Baggini Handbook of Power Quality. Lecture 2.

• Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Formulations and measures used for power quality. • References: - R.C. Dugan Electrical Power Systems Quality; - C. Haozhong Power quality. Lecture 3. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Power quality improvement techniques. • References: - A. Baggini Handbook of Power Quality; - E. Fuchs Power Quality in Power Systems and Electrical Machines. Module 2. Modeling and analysis of power system items. Lecture 4. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Modeling and analysis of induction machines and transformers. • References: - E. Fuchs Power Quality in Power Systems and Electrical Machines; - E. Acha Power systems harmonics: computer modeling and analysis. Lecture 5. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Interaction of harmonics with capacitors.

• References: - E. Fuchs Power Quality in Power Systems and Electrical Machines; - A. Baggini Handbook of Power Quality. Lecture 6. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Filters in power systems. • References: - E. Acha Power systems harmonics: computer modeling and analysis; - M.H. Bollen Signal Processing of Power Quality Disturbances. Module 3. Practical aspects of power quality management. Lecture 7. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Tools for detecting poor power quality. • References: - C. Haozhong Power quality; - A.F. Zobaa Power Quality: Monitoring, Analysis and Enhancement; - E. Fuchs Power Quality in Power Systems and Electrical Machines. Lecture 8. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Tools for improving power quality. • References: - R.C. Dugan Electrical Power Systems Quality; - Z. Lu Integration of Large Scale Wind Energy with Electrical Power Systems in China.

Lecture 9. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Load management. • References: - E. Fuchs Power Quality in Power Systems and Electrical Machines; - R.C. Dugan Electrical Power Systems Quality Lecture 10. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Capacitor banks and unified power quality conditioner. • References: - E. Fuchs Power Quality in Power Systems and Electrical Machines; - J.C. Das Power System Harmonics and Passive Filter Designs. Laboratory classes Agenda. Students are in the laboratory for 90 minutes with a five-minute break. The assistant helps students carry out labs. Students need to have a notebook with lecture notes and pen (pencil). • Laboratory session 1. Measurement of power quality parameters. • Laboratory session 2. Power system modeling under nonsinusoidal operating conditions. • Laboratory session 3. Calculation of characteristics and modeling of frequency filters.

Bibliography and teaching resources Main references 1. C. Haozhong Power quality / C. Haozhong, A. Qian, Z. Zhigang, Z. Zishu, Tsinghua University press，2006. -433 p.

2. E. Acha Power systems harmonics: computer modeling and analysis / E. Acha, M. Madrigal, John Wiley ＆ Sons Ltd，2001. -365 p. 3. Z. Lu Integration of Large Scale Wind Energy with Electrical Power Systems in China / Z. Lu, S. Zhou, John Wiley & Sons, 2018. -488 p. 4. A. Baggini Handbook of Power Quality, John Wiley & Sons, 2008. -642 p. 5. R.C. Dugan Electrical Power Systems Quality / R.C. Dugan, S. Santoso, M.F. McGranaghan, H.W. Beaty, McGraw Hill Professional, 2002. -528 p. 6. E. Fuchs Power Quality in Power Systems and Electrical Machines / E. Fuchs, M.A.S. Masoum, Academic Press, 2011. -664 p. Supplementary References 1. A.F. Zobaa Power Quality: Monitoring, Analysis and Enhancement / A.F. Zobaa, R. Bansal, M. Manana, BoD, 2011. -380 p. 2. P. Caramia Power Quality Indices in Liberalized Markets / P. Caramia, G. Carpinelli, P. Verde, John Wiley & Sons, 2009. -288 p. 3. J.C. Das Power System Harmonics and Passive Filter Designs, John Wiley & Sons, 2015. -872 p. 4. M.H. Bollen Signal Processing of Power Quality Disturbances / M.H. Bollen, Irene Y. H. Gu, John Wiley & Sons, 2006. -760 p.

Scheduled Work Plan Type of Week Total, classes 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 hours Lecture 2 4 2 4 2 4 2 20 classes Laboratory 2 2 2 6 classes Tests 4 4 Lab reports 2 2 presentation Internet resources Google scholar – http://scholar.google.com/ National Library of China – http://www.nlc.cn/ Software Name Purpose Windows 10 Operating system Microsoft Office Professional 2007 Office applications Application software National Instruments LABView

Necessary Materials in class Type of classes Equipment Quantity Lecture classes Projector with screen 1 Notebook or PC 1 Whiteboard with markers 1 Laboratory Whiteboard with markers 1 classes PC with installed software and Internet access 12

Scheduling of activities Type of Week Total, activities 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 hours Repeating the 2 2 2 2 2 2 2 14 previous and preparing for the next lectures. Preparing for 4 4 the test. Preparation 4 4 4 12 for laboratory work and report on them. Preparation 4 4 for lab reports presentation

Introduction

Course Title

Virtual Enterprise Course Scope

Credit Points: 2 ECTS

Workload: 72 Hours

Course Code

LUT VE Course Descriptor

Master’s Degree in Electrical Engineering

Learning Outcomes

The student who successfully completes this course will:

6. Be able to make statements and opinions on design issues, express design ideas and plans, and communicate effectively with students and teachers. Nominal Duration

Duration: 1 Semester Cycle: Yearly Starting Term: 1st Semester Workload: 72 Hours Presence (Direct): 32 Hours Credit Points: 2 ECTS

Assessment Criteria

Assessment method: the main purpose of course assessment is to assess the achievement of course objectives 1. Process assessment – 30% 2. Achievement assessment – 30% 3. Defense assessment - 40%

o Lectures: 3 Hours. o Tutorials:3 Hours. o Self-directed study: 10 Hours.

Below you will find prerequisites for Virtual Enterprise course:

A. Circuit technology

B. Electronic Technology

C. Power electronics technology

D. Automatic control technology

E. Economics. Methodology

Teaching language

English/Chinese Course Plan

DRAFT CLASS SCHEDULE（Timetable）

Bibliography and teaching resources

Basic References:

1. R.K. Litvyak, D.V. Shaikhutdinov, N.I. Gorbatenko, Modern Technologies for Virtual Enterprise (published in 2019). 2. William D. Stanley, John R. Hackworth, Computer-Aided Circuit Analysis with Multisim (published in 2018). 3. National Instruments Graphical User Interface Ultiboard User Manual. 4. Jovitha Jerome, Virtual Instrumentation Using Labview (published in 2010). 5. Simha R. Magal, Jeffrey B. Word, Business Process Integration with SAP ERP (published in 2013). 6. Yang Leping , LabVIEW Program Design and Application (2nd Edition), Electronic Industry Press, 2007 7. Liu Junhua, Virtual Instrument Design based on LabVIEW, Electronic Industry Press, 2003 8. Zhan Huiqin,etc, Virtual Instrument Design, Higher Education Press, 2008

Supplementary References:

Internet resources

a. https://www.academia.edu/28766509/Multisim_Basics_Schematic_Capture_and_Sim ulation_Day_1_of_2_Hands-On_Training

b. https://www.ni.com/ru-ru/innovations/white-papers/13/ni-multisim-and-ni-ultiboard- online-training.html

c. https://www.altoo.dk/LN-Course+-+Electronics+10- +PCB+layout+with+NI+Ultiboard.htm

d. http://sine.ni.com/tacs/app/fp/p/ap/ov/lang/ru/pg/1/sn/n8:28/

e. https://www.sap.com/training-certification/free-training.html

f. Other websites and online resources will be recommended. Software

Mandatory use of the following software:

a. Multisim (National Instruments) b. Ultiboard (National Instruments) c. Labview (National Instruments)

Necessary Materials in class

Course WEB SITE: Most course info is in Course Site.

Platov South-Russian State Polytechnic University (NPI)

COURSES SYLLABUS FOR INSPIRE MASTER PROGRAM

Project management-3 ECTS Intellectual measurement tools -3 ECTS Computer visualisation-3 ECTS Virtual enterprise-3 ECTS

Introduction The development of professional project management of creating new products, services and other results of project activities begins with training, defining a common terminological apparatus and the formation of a project management culture in the organization. Training students is especially important for the development of project management in the organization. For a mature organization, from the point of view of project management, the value lies in the skillful use of project, program and portfolio management tools. Course Title Project management Course Scope

This training course is designed to train students in project management based on modern approaches and international standards. Within the framework of this course, the following issues are planned to be discussed:

- To form a knowledge system based on the relationship of standard processes and project management functions.

· Give students the basic terms used in project management, review existing international standards.

· Consider modern management methods that are applicable to most projects.

· Identify the scope of project management in the organization.

· To teach students to evaluate projects according to success criteria.

· Introduce students to various types of organizational structures and show their impact on project activities.

The course, first of all, poses tasks of a conceptual nature:

· Formation of an understanding of the methods and generally accepted practices of project management.

· Formation of basic skills for initiating, planning, monitoring and controlling the implementation of projects, as well as processes for completing projects.

· Formation of basic skills of using information systems for project management.

Course Code

SRSPU PM Course Descriptor

The discipline "Project management" creates a conceptual basis for the study of managerial disciplines that use managerial technologies, while performing various educational and research works, as well as during the preparation of final qualification work

. Study Program

Master’s Degree in Instrument Engineering Learning Outcomes

General Learning outcomes competence

Can communicate Knowledge Skills Ability their conclusions, -Communication -Communicate -Communicate and the knowledge theory and practice; utilising appropriate (verbally and in and rationale -Verbal and non professional writing) and underpinning these, verbal terminology; participate in a to specialist and communication -Communicate multidisciplinary, non-specialist strategies to be effectively with multicultural and/ or audiences clearly adopted with a wide service users, international and unambiguously; range of service carers, staff and the environment with users, staff and the public applying regard to profession- general public; approaches that related issues; - Behavioural and take into account - Communicate with, sociological sciences the physical, advise and instruct that influence psychological, other professional communication and social and cultural groups on profession- respect for patients, needs and which related issues;

their carers and other are anti- - Instruct, teach and/or professionals in team. discriminatory and mentor staff and anti-oppressive; students in order to - Communicate contribute to the with non experts in development and the field. promotion of their expertise; - Furnish third parties with information and education tailored to the target group. Can apply their Knowledge Skills Ability knowledge and Highly specialised Specialised Whenever possible understanding, and knowledge, some of problemsolving make an appropriate problem-solving which is at the skills required in and argued abilities in new or forefront of research and/or contribution within a unfamiliar knowledge in a field innovation to multidisciplinary environment within of work or study, as develop environment; broader (or the basis for original new knowledge and -Manage and multidisciplinary) thinking procedures and to transform context related to -Critical awareness of integrate work or study contexts their field of study knowledge issues in a knowledge from that are complex, field and at the different fields unpredictable and interface require between different new strategic fields approaches -Take responsibility for contributing to professional knowledge and practice and/or for reviewing the strategic performance of teams Specific Learning outcomes competence Knowledge Skills Ability The ability within a Quality assurance and Performing, Be able to, within a multidisciplinary quality control recording and multidisciplinary collaborative practices to include: analysing quality collaborative context, context, contribute legislation, regulations assurance and quality contribute to to evaluation, and guidelines, test control activities to evaluation, improvement and equipment and include: legislation, improvement and maintenance of the methodologies, regulations and maintenance of the quality of programme design and guidelines, test quality of professional professional implementation and equipment and practice; practice; draft reporting to thus methodologies,

standards, ensure the provision of programme design Be able to contribute methodological and an effective, safe and and implementation, to the content-related regulatory materials, efficient service; and reporting development and technical profiling of the documentation and profession by in the practical initiating and implementation of implementing quality the developed management and projects and innovation processes; programs; To monitor compliance with established requirements, existing norms, rules and standards

Nominal Duration Duration: 1 Semester Cycle: Yearly Starting Term: 1 Semester Workload: 3 ECTS

Assessment Criteria EVALUATION: 1.Team project and in-class activities30% 2.Individual Presentation 30% 3.Homework 35 % 4. Exam 5 %

Module Contents

Module 1. Fundamentals of project management

· Basic definitions of UP.

· International standards and types of certification.

· Project life cycle.

· Project success criteria. Measuring success criteria.

· Key project participants

· Project objectives

· Key elements of the project

· Project management processes

· Project Management Knowledge Areas

· Main project documents: Charter of the project, description of the project content, project plan

· Business game: Identification of critical project success factors

· Practical work: Development of the project charter

Module 2. The project as an object of management

· Planning methods

- Analysis of project requirements

- Hierarchical structure of work

- Network project schedule

- Plan of control points

- Gantt chart

· Project schedule

- restrictions

- optimization

- execution control

· Practical work: Development of a hierarchical structure of work, construction and analysis of the network model of the project, development of a schedule.

MODULE 3. Project Cost Management

· Project cost structure

· Development of estimates and project budget

· Tools for estimating project costs

· Cost forecasting

· Analysis of the project according to the "earned volume" method

· Practical work: Development of the project budget; Cost forecasting

· Business game: Development of a report on the status of the project, Development of a forecast report.

MODULE 4. Project Risk Management

· Risk Management Planning

· Risk identification

· Qualitative and quantitative risk analysis

· Development of risk response measures

· Monitoring and risk management of an IT project

· Practical work: identification of project risks, risk analysis, building a strategy for responding to risks.

Prerequisite and Conditions

This course is intended for students who, plan activities with the development of companies using project methods and tools. Starting to study this course, students should have knowledge in the field of communication management, knowledge in understanding the communication environment of a business. Methodology Lecture, online activities, homework, in-class exercises, group discussion, presentations, exams, and team projects will be used to aid in understanding and application of Project management

Assessment Methods

Homework Assignments:

Students will volunteer or be asked to discuss homework due that class period. Late homework will not be accepted. We will use University Information System to upload HW. Please name the files (one file per homework, please) with your last name and then HW1, HW2, etc. There will be both individually and group assignments.

Participation:

Presentations:

All students need to develop good speaking skills, since it is very important for project work in real-world tasks.

Course Team Projects & HomeWork:

Teaching language

English Lecturer

Senior Lecturer Anastasia Kolomiets/ Senior Lecturer Roman Litvyak

Lab assistant

TBA Timetable

No Classroom activities Students' independent work Total № (hour) (hour) (hour)

Semester

Total Total

Labs

Thems Exams

Practice Planned

Lections

Modules Individual

1 1 2 2 4 8 15 15 2 2 2 2 4 8 15 15 1 3 3 2 2 4 8 25.4 25.4 32.65 4 4 2 2 4 8 20 20 Summary first 8 8 16 32 75.4 75.4 32.65 108 semester Total 8 8 16 32 75.4 75.4 32.65 108

Course Plan

Section 1. Project Management Basics Theme 1. Modern approaches to project management. Design terminology. The objectives of the project. Project success criteria. Theme 2. Processes and areas of knowledge of project management. Key project documents Section 2 Project as a management object Topic 3. Analysis of project requirements. Hierarchical structure of work Theme 4. The project schedule. Limitations, optimization, execution control Section 3 Project cost management Topic 5. Project cost structure. Topic 6. Development of estimates and project budget. Theme 7. Integrated project control method Section 4. Project risk management Theme 8. Risk management planning. Risk identification Theme 9. Qualitative and quantitative risk analysis Topic 10. Development of risk response measures. Risk monitoring and control

Practical lessons:

1. Development of the Charter of the project;

2. Development of a hierarchical structure of work;

3. Construction and analysis of the network model of the project;

4. Development of a schedule;

5. Development of the project budget;

6. Identification of project risks;

7. Project risk analysis;

8. Building a strategy for responding to risks.

Business games:

1. Identification of critical success factors for the project

Bibliography and teaching resources

[1]. Project Management Knowledge Base Guide (PMBOK Guide 3rd edition), PMI Moscow Chapter, 2004 [2] Project management. Reference manual. Moscow, 2001. [3] Kendall, Rollins, Modern Project Portfolio Management and Project Management Office, Moscow, 2004. [4]. Harold Kerzner, Strategic Planning for Project Management Using the Maturity Model, Moscow, 2003. [5]. Archibald, Management of high-tech programs and projects, Moscow, 2002 [6]. Flannes, Ginger Levin, Human Skills for Project Managers, Moscow, 2004 [7]. Project management: standards, methods, experience, M., Olymp-Business, 2003 [8]. M. Romanova, Project Management, Moscow, 2006. [9]. Harold Kerzner Project Management: A Systems Approach to Planning, Scheduling, and Controlling, Eighth Edition, ISBN: 0471225770, 2003 (891 pages) Scheduled Work Plan

No Week Dates Activities Notes No 1 W1 According to Lecture1: Modern approaches to project management. academic year schedule Design terminology. The objectives of the project. Project success criteria.

2 W2 According to Practical lesson: Development of the Charter of the academic year schedule project;

3 W3 According to Lecture 2. Processes and areas of knowledge of project academic year schedule management. Key project documents

4 W4 According to Practical lesson: Construction and analysis of the academic year schedule network model of the project; 5 W5 According to Lecture 3. Analysis of project requirements. academic year schedule Hierarchical structure of work

6 W6 According to Practical lesson: Development of a hierarchical structure academic year schedule of work; 7 W7 According to Leccture 4. The project schedule. Limitations, academic year schedule optimization, execution control

8 W8 According to Practical lesson: Development of a schedule; academic year schedule

9 W9 According to Lecture 5. Project cost structure. Development of academic year schedule estimates and project budget.

10 W10 According to Practical lesson: Development of the project budget; academic year schedule 11 W11 According to Lecture 6. Integrated project control method academic year schedule Risk management planning. Risk identification 12 W12 According to Practical lesson: Identification of project risks; academic year schedule 13 W13 According to Lecture 7. Qualitative and quantitative risk analysis academic year schedule 14 W14 According to Practical lesson: Project risk analysis; academic year schedule 15 W15 According to Lecture 8. Development of risk response measures. Risk academic year schedule monitoring and control 16 W16 According to Practical lesson: Building a strategy for responding to academic year schedule risks. 17 W17 According to Team final presentations &Exam academic year schedule

Internet resources www.pmi.org; www.projectmanagement.ru Software

MS-PowerPoint; MS-Project; MS-Excel;

Introduction An intelligent informatics and measuring system is a modern metering device and IT- technologies that is connected to a communication unit. The measuring data, e.g. electricity consumption, capacity or temperature, can be read remotely via the communication unit. The collected data can be provided via an online portal, so that all information can be viewed and used about the consumption patterns. The data that has been read remotely is also made available to all relevant market partners. In future, the intelligent informatics and measuring system will make it possible to control any complex system. Course Title Intellectual measurement tools Course Scope

This course aims to introduce and discuss a number of commonly used methods techniques that students will find useful in their research and projects. Fostering development and use of artificial intelligence, computational intelligence, and soft-computing in information and measurement systems and related applications. In the subsequent lectures we will aim to cover the following topics:

- basic concepts of artificial intelligence, the main differences between technical and living systems;

- types, main components, structures and functioning algorithms of intelligent information and measuring systems;

- approaches to the synthesis and analysis of measurement tasks (NI Multisim) and the development of algorithms for processing source data (NI LabVIEW);

- practical development of structural diagrams of measurement processes (NI Multisim) and data processing from the point of view of subsequent management;

- the procedure for normalizing the metrological characteristics of measuring processes in information systems and verifying the compliance of metrologically significant software (NI Multisim) with intelligent information and measuring systems.

The knowledge gained during the development of the discipline can be applied during the passage of scientific and industrial practice, in the process of research work, as well as when performing a master's thesis.

Course Code

SRSPU IMT Course Descriptor

Preparing students for the application of artificial intelligence methods, and in particular, machine learning, in professional design and research activities. Study Program

Master’s Degree in Instrument Engineering Learning Outcomes

General Learning outcomes competence

Able to undertake Knowledge Skills Ability to function both The importance Exhibit the -Undertake to independently of inter- appropriate function both and as a part of a professional professional independently and team within a working attitudes and as part of a team work relationships behaviour within a work organization within a multi- expected of a organisation; disciplinary team fully integrated -Whenever to ensure the best member of the possible contribute results and multi- to an effective outcomes. disciplinary interdisciplinary, team to ensure multicultural the best quality and/or international of results collaboration

- Functionally attune one's own professional actions within the confines of one's expertise and ability to the actions of other members of the multidisciplinary team; -Whenever possible contribute to team development and conflict resolution. Can apply their -Highly -Specialised -Whenever knowledge and specialised problemsolving possible make an understanding, knowledge, some skills required in appropriate and and problem- of research and/or argued contribution solving abilities which is at the innovation to within a in new or forefront of develop multidisciplinary unfamiliar knowledge in a new knowledge environment; environment field of work or and -Manage and within broader (or study, as the basis procedures and transform multidisciplinary) for original to work or study context related to thinking integrate contexts their field of -Critical knowledge from that are complex, study awareness of different fields unpredictable and knowledge issues require in a field and at new strategic the interface approaches between different -Take fields responsibility for contributing to professional knowledge and practice and/or for reviewing the strategic

performance of teams Specific Learning outcomes competence

Ability to - Methods of - Skills in the - Process and choose serial organizing and processing and analyze the results objects and to conducting analysis of of measurements design new measurements, information - Plan objects from the - Principles of - Methods of experimental area of construction and modeling and measurements professional organization of adjusting of - Perform a model activity functioning of information and computer intelligent measuring experiment, obtain measuring systems systems and process - Bases of - Computer experimental data intelligent systems for measuring systems modeling and design, designing of instrument- making equipment

Ability to - Basic methods of -Skills of using - Choose the execute engineering the results of necessary methods measuring and measurements, measurements, and engineering research of control and testing, testing and means for various objects - Problems of control measuring and according to an system - Skills in controlling the existing measurements, quality control basic physical methodology. features of and testing in quantities, testing construction of instrument- products modern making - Process the information- results and measuring determine the systems, control errors in the results systems and of measurements, testing systems, control and testing

Nominal Duration

Duration: 1 Semester Cycle: Yearly Starting Term: 3 Semester Workload: 108 Hours Presence (Direct): 34,75 Hours Credit Points: 3 ECTS

Assessment Criteria

EVALUATION: 1. Team project and in-class activities 30 % 2. Individual Presentation 30 % 3. Homework 35 % 4. Exam 5 % Module Contents

Module 1 The Concept of “Artificial Intelligence”

Module 2 Hardware and software components of intelligent information and measurement systems

Module 3 Processing of measurement information in intelligent information and measurement systems Prerequisite and Conditions

• Some knowledge with mathematics: Basic Statistics, Basic University or Advanced high school. • Basic skills in programing preferably NI LabVIEW. • Some experience with: NI Multisim, NI Ultiboard (or NI DesignSuite).

Before taking this course, you should have already completed following courses:

• Development and design of measuring instruments, control and diagnostics;

• English language;

• Adaptive electronic and microprocessor systems;

• Special means of measurement, control and management;

• Field model experiment in instrument making;

• Methodology of scientific research and scientific and technical creativity in information and measuring systems and technologies;

• Mathematical models of devices and systems;

• Information technology in instrumentation;

• History and development prospects of information and measuring systems and technologies. Methodology

Lecture, homework, in-class exercises, group discussion, presentations, exams, and team projects will be used to aid in understanding and application of intellectual systems. Assessment Methods

Homework Assignments:

Participation:

Students are expected to actively participate in class by asking questions, working on in-class and exercises, giving presentations as individuals or as part of their team projects, and sharing personal experiences and opinions related to the topics discussed. Students who do not participate up to expectations or miss more than 20 % in-class hours without a pre-approved or written excuse will have their final grades reduced by one grade . Be sure to contact me BEFORE you miss a class, if possible. Let me know about last minute emergencies via phone as soon as you can. Also, please do not use cell phones, laptops, or other devices in class unless you are asked to do so. Be present in class.

Presentations:

All students need to develop good speaking skills, since it is very important for project work in real-world tasks.

• The place and role of measuring equipment in scientific research and industry;

• Computer networks.

• Digital computing devices of intelligent information and measuring systems.

• Internal interfaces between analog and digital subsystems of intelligent systems.

• Advice from real data science specialists.

• Examples of current / recent projects (i.e. local projects, global projects etc.).

• A topic related to your team project besides the progress report.

Course Team Projects & HomeWork:

English/Russian

Lecturer

Associate Professor Danil Shaykhutdinov Lab assistant

TBA Timetable

No Classroom activities Students' independent work Total № (hour) (hour) (hour)

Semester

Total Total

Labs

Thems Exams

Practice

Planned

Lections

Modules Individual

1 1 3 2 6 11 12 12 24 34 3 2 2 3 3 6 12 12 12 24 34 3 3 2 3 6 11 13.6 11.6 25.25 34.75 68 Summary 3-d 8 8 18 34 37.6 35.6 73.25 34.75 108 semester Total 8 8 18 34 37.6 35.6 73.25 34.75 108

Course Plan

Lecture 1: The concept of “artificial intelligence” • Agenda • The place and role of measuring equipment in scientific research and industry. • The basic concepts of the theory of artificial intelligence. • Intellectualization of measurements of physical quantities. • Topics • Computing as an essential component of the technosphere. Measuring equipment as a link between computer technology and the physical world. Automation of measurements, control and testing in modern industry and science. The basic concepts

of systemology. Artificial (technical) systems. Comparison of artificial and natural systems. • The concept of "intelligence". The concept of "artificial intelligence." Statement of the problem and problems of creating artificial intelligence. Expert systems. Systems of written natural-language communication. Voice communication systems. Visual information processing systems. Systems of machine translation of natural languages. Automatic Design Systems (NI Multisim, NI Ultiboard). • Information-measuring systems (IMS). Generalized structure of IMS. Classification of IMS. Types of IIS. Virtual and intelligent measuring instruments. Features of the structure and functioning of intelligent IMS. References • Tsapenko M.P. Measuring information systems. Structures and algorithms, systems engineering design - M., 2012. 438 s • Computer data analysis: a training manual / Yu. N. Tyurin, A. A. Makarov. - 4th ed., Revised. - M.: Forum, 2008 .-- 368 p.

Lecture 2: Hardware and software components of intelligent information and measurement systems. • Agenda • Intelligent sensors. • Data transfer interfaces. • Topics • Physical quantity sensor. Generalized block diagram of an intelligent sensor. Functionality of smart sensors. Constructive and technological solutions in the development of intelligent sensors. Metrological characteristics of smart sensors and features of their confirmation • GP GPIB (IEEE-488), USB, FIREWIRE (IEEE 1394), BLUETOOTH, HART interfaces. • References Danilov A.A. Metrological support of measuring systems / A.A. Danilov. - St. Petersburg: Polytechnic Service, 2014-189 p.

Lecture 3: Processing measurement information in intelligent information and measurement systems.

• Agenda • Software • Performance optimization algorithms • Measuring information processing algorithms • Topics • Fundamentals of the theory of fuzzy sets and fuzzy logic, a system of fuzzy conclusions • Artificial neural networks. Genetic optimization algorithm. Ant optimization algorithm.

• The main properties of measurement information processing algorithms: invariance, optimality, robustness, adaptability. Algorithms of multiple, indirect, joint, aggregate measurements. Monte Carlo measurement error estimation • References • Computer data analysis: a training manual / Yu. N. Tyurin, A. A. Makarov. - 4th ed., Revised. - M.: Forum, 2008 .-- 368 p. • Artificial Intelligence (AI) news, neural networks, quantum computers, machine learning 2016 [Electronic resource] - Access mode http://ai-news.ru/

Final Exam

• Exercise session 1: Processing indirect measurement results and error estimation using NI LabVIEW and NI Multisim.

• Exercise session 2: Processing the results of joint measurements and evaluating their error using NI LabVIEW and NI Multisim.

• Exercise session 3: Virtual intelligent system for metrological analysis of measuring instruments implemented in the NI Multisim environment.

• Exercise session 4: A virtual intelligent system for measuring the spectrum of measurement signals in an NI Multisim environment.

• Exercise session 5: A virtual intelligent system for measuring time-frequency signals in an NI LabVIEW environment.

• Exercise session 6: Field Calculation Intelligent Measurement System based on the TDS and NI Multisim Oscilloscope.

• Exercise session 7: Intelligent system for analyzing arbitrary measurement data in a Jupyter Notebook environment.

ALL THE CONTENTS FOR EACH LECTURE AND EXERCISE HAS TO BE DELIVERED IN FORM OF POWERPOINT PRESENTATION OR ANY OTHER DIGITAL FORM. Bibliography and teaching resources

Basic references

• Tsapenko M.P. Measuring information systems. Structures and algorithms, systems engineering design - M., 2012. 438 p.

• Danilov A.A. Metrological support of measuring systems / A.A. Danilov. - St. Petersburg: Polytechnic Service, 2014-189 p.

• Computer data analysis: a training manual / Yu. N. Tyurin, A. A. Makarov. - 4th ed., Revised. - M.: Forum, 2008 .-- 368 p.

Supplementary References

• Artificial Intelligence (AI) news, neural networks, quantum computers, machine learning 2016 [Electronic resource] - Access mode http://ai-news.ru/ Scheduled Work Plan

• W 1: Course introduction, class survey. The place and role of measuring technology in scientific research and industry. Exercise session 1: Processing indirect measurement results and error estimation using NI LabVIEW and NI Multisim.

• W 2: Continue exercise session 1: Processing indirect measurement results and error estimation using NI LabVIEW and NI Multisim. Discuss individual project proposals and case studies, begin forming teams.

• W 3: Basic concepts of artificial intelligence theory. Exercise session 2: Processing the results of joint measurements and evaluating their errors using NI LabVIEW and NI Multisim. Initiating projects

• W 4: Continue exercise session 2: Processing the results of joint measurements and estimating their error using NI LabVIEW and NI Multisim. Continue forming teams.

• W 5: Intellectualization of measurements of physical quantities. Exercise session 3: Virtual intelligent system for metrological analysis of measuring instruments implemented in the NI Multisim environment. Finalize projects and teams

• W 6: Continue exercise session 3: Virtual intelligent system for metrological analysis of measuring instruments implemented in the NI Multisim environment.

• W 7: Intelligent sensors. Exercise session 4: A virtual intelligent system for measuring the spectrum of measurement signals in an NI Multisim environment.

• W 8: Continue exercise session 4: A virtual intelligent system for measuring the spectrum of measurement signals in an NI Multisim environment.

• W 9: Data transfer interfaces. Exercise session 5: A virtual intelligent system for measuring time-frequency signals in an NI LabVIEW environment.

• W 10: Continue exercise session 5: A virtual intelligent system for measuring time- frequency signals in an NI LabVIEW environment.

• W 11: Software. Exercise session 6: Field Calculation Intelligent Measurement System based on the TDS and NI Multisim Oscilloscope.

• W 12: Continue exercise session 6: Field Calculation Intelligent Measurement System based on the TDS and NI Multisim Oscilloscope. Discuss teams project proposals and case studies, begin forming teams.

• W 13: Algorithms for optimizing system performance. Exercise session 7: Intelligent system for analyzing arbitrary measurement data in a Jupyter Notebook environment. Initiating Projects.

• W 14: Continue exercise session 7: Intelligent system for analyzing arbitrary measurement data in a Jupyter Notebook environment.

• W 15: Measuring information processing algorithms. Continue exercise session 7: Intelligent system for analyzing arbitrary measurement data in a Jupyter Notebook environment. Finalize projects and teams.

• W 16: Continue exercise session 7: Intelligent system for analyzing arbitrary measurement data in a Jupyter Notebook environment. Executing Projects.

• W 17: Continue exercise session 7: Intelligent system for analyzing arbitrary measurement data in a Jupyter Notebook environment.

• W 18: Work on team deliverables. Team final presentations. Exam. Internet resources

• http://ai-news.ru/ • http://github.com • https://cxem.net/software/multisim.php • https://www.multisim.com/

Software

• NI LabVIEW • NI Multisim & Ultiboard of NI DesignSuite • Jupyter Notebook

Necessary Materials in class

TEXT: R.K. Livyak, D.V. Shaykhutdinov, N.I. Gorbatenko, Moder Technologies for Virtual Enterprise.

.Scheduling of activities If the lecturer needs to modify any planned activity, students will be warned sufficiently in advance. No Week Dates Activities Notes No 1 W1 According to Exercise session 1: Processing indirect measurement academic year schedule results and error estimation using NI LabVIEW and NI Multisim. 2 W2 According to Continue exercise session 1: Processing indirect academic year schedule measurement results and error estimation using NI LabVIEW and NI Multisim. Formation of proposals for individual project proposals and case studies, begin forming in teams. Preparing for the Lecture “Fundamentals of Artificial Intelligence Theory.” 3 W3 According to Exercise session 2: Processing the results of joint academic year schedule measurements and evaluating their errors using NI LabVIEW and NI Multisim. Starting own project 4 W4 According to Continue exercise session 2: Processing the results of academic year schedule joint measurements and evaluating their error using NI LabVIEW and NI Multisim. Continue own project. Preparing for the Lecture “Intellectualization of measurements of physical quantities.” 5 W5 According to Exercise session 3: Virtual intelligent system for academic year schedule metrological analysis of measuring instruments implemented in the NI Multisim environment. Finalize projects. 6 W6 According to Continue exercise session 3: Virtual intelligent system academic year schedule for metrological analysis of measuring instruments implemented in the NI Multisim environment. Preparing for the Lecture “Intelligent Sensors.” 7 W7 According to Exercise session 4: A virtual intelligent system for academic year schedule measuring the spectrum of measurement signals in an NI Multisim environment. 8 W8 According to Continue exercise session 4: A virtual intelligent academic year schedule system for measuring the spectrum of measurement signals in an NI Multisim environment. Preparing for the Lecture “Data Interfaces.” 9 W9 According to Exercise session 5: A virtual intelligent system for academic year schedule measuring time-frequency signals in an NI LabVIEW environment. 10 W10 According to Continue exercise session 5: A virtual intelligent academic year schedule system for measuring time-frequency signals in an NI LabVIEW environment. Preparing for the Lecture “Software.”

11 W11 According to Exercise session 6: Field Calculation Intelligent academic year schedule Measurement System based on the TDS and NI Multisim Oscilloscope. 12 W12 According to Continue exercise session 6: TDS and NI Multisim full- academic year schedule scale intelligent measurement system. Discuss teams project proposals and case studies, begin forming teams. Preparing for the Lecture “Algorithms for optimizing system performance.” 13 W13 According to Algorithms for optimizing system performance. academic year schedule Exercise session 7: Intelligent system for analyzing arbitrary measurement data in a Jupyter Notebook environment. Initiating Projects. 14 W14 According to Continue exercise session 7: Intelligent system for academic year schedule analyzing arbitrary measurement data in a Jupyter Notebook environment. Preparing for the Lecture “Measurement processing algorithms.” 15 W15 According to Continue exercise session 7: Intelligent system for academic year schedule analyzing arbitrary measurement data in a Jupyter Notebook environment. Finalize projects and teams. 16 W16 According to Continue exercise session 7: Intelligent system for academic year schedule analyzing arbitrary measurement data in a Jupyter Notebook environment. Executing Projects. Preparing for the Exam. 17 W17 According to Continue exercise session 7: Intelligent system for academic year schedule analyzing arbitrary measurement data in a Jupyter Notebook environment. Work on team deliverables. 18 W18 According to Team final presentations & Exam. academic year schedule

Introduction Computer visualization systems are modern information-measuring systems for obtaining, displaying and analyzing the internal structures of objects. Currently, such devices are an indispensable toolbox in almost all areas of human activity.

The rapid development of new technologies and visualization tools is due to the modern needs of mankind in the emergence of new systems and methods that expand the ability to monitor the state of objects and improve the quality of life of people. A significant increase in the technical level of development of modern non-invasive diagnostic systems through improved hardware implementation and production technologies makes diagnostic imaging systems indispensable in everyday practice. At the same time, along with the progress of tools, computer methods for processing graphic information are beginning to play a very significant role. Modern methods of obtaining and computer image processing provide improved images for their best visual perception, effective image compression for reliable storage and fast data transfer through communication channels.

Course Title Computer visualization Course Scope This course is intended to discuss issues of the current state, the principles of construction and use of modern information-measuring systems to solve problems of medical and technical visualization, as well as to form the necessary competencies for students to develop such technical means. Within the framework of this course, the following issues are planned to be discussed: - basic concepts about the visualization of the internal structures of objects (both technical and medical); - classification and basic characteristics of images obtained during visualization; - The physical basis for obtaining images of internal structures; - methods of medical and technical imaging; - The principles of building modern devices and systems for technical and medical imaging; - modern software systems for the design and development of information-measuring systems for medical and technical visualization; - Issues of state and interstate regulation of the development and practical use of technical and medical imaging systems. Course Code

SRSPU CV

Course Descriptor

The formation of interrelated skills and knowledge on the development (research and engineering activities) and the practical application of modern information-measuring systems of medical and technical visualization. Study Program

Master’s Degree in Instrument Engineering Learning Outcomes General Learning outcomes competence

Can communicate Knowledge Skills Ability their conclusions, -Communication theory -Communicate -Communicate (verbally and the knowledge and practice; utilising appropriate and in writing) and and rationale -Verbal and non verbal professional participate in a underpinning these, communication terminology; multidisciplinary, to specialist and non- strategies to be adopted -Communicate multicultural and/ or specialist audiences with a wide range of effectively with international clearly and service users, staff and service users, carers, environment with unambiguously; the general public; staff and the public regard to profession- - Behavioural and applying approaches related issues; sociological sciences that take into account - Communicate with, that influence the physical, advise and instruct other communication and psychological, social professional groups on respect for patients, and cultural needs profession-related their carers and other and which are anti- issues; professionals in team. discriminatory and - Instruct, teach and/or anti-oppressive; mentor staff and - Communicate with students in order to non experts in the contribute to the field. development and promotion of their expertise; - Furnish third parties with information and education tailored to the target group. Able to undertake to Knowledge Skills Ability function both The importance of Exhibit the -Undertake to function independently and as inter-professional appropriate both independently and a part of a team working relationships professional attitudes as part of a team within within a work within a multi- and behaviour a work organisation; organization disciplinary team to expected of a fully -Whenever possible ensure the best results integrated member of contribute to an and outcomes. the multi-disciplinary effective team to ensure the interdisciplinary, best quality of results multicultural and/or international collaboration - Functionally attune one's own professional actions within the confines of one's expertise and ability to the actions of other members of the multidisciplinary team; -Whenever possible contribute to team development and conflict resolution. Specific Learning outcomes competence

Be able to solve Knowledge Skills Ability research problems -- the main sources of the skills of -- search and analyze with scientific and technical experimental scientific and technical fluency in the information on obtaining of static information and select fundamental sections automated systems of and dynamic the necessary materials; of physics and scientific research; characteristics of the - use hardware and radiophysics - the basics of setting investigated objects software to automate up a physical and for subsequent use in scientific research; engineering experiment the electrical - develop the structure and processing of its installations and choose the results; management; automated system of - modern means of - skills in the use of scientific research automation of scientific hardware and hardware; research; software to automate - plan and set research - software for scientific research; tasks, choose methods automation of scientific - skills in developing of experimental work, research; applications in the interpret and present the - the main technical LabView results of scientific characteristics of the environment for use research; automated system of in the automated - to apply methods of scientific research system of scientific creating and analyzing hardware; research work. models that allow to predict the properties

and behavior of professional activity objects; The ability to use Architecture of the Skills of searching Be able to work as a information main hardware and and exchanging personal computer user; technology in software tools for information in global -Be able to use external professional working with and local computer information transfer activities, including information and networks; channels for data modern means of network technologies; -Skills of exchange between computer graphics; - basic information programming systems computers; about discrete for solving -Be able to use structures used in professional programming languages personal computers; problems; to solve professional - basic algorithms of - Skills on technical problems; typical numerical and software means - Be able to work with methods for solving of information mathematical problems; protection when general purpose - one of the working with software programming computer systems, languages of the local including antivirus and global computer protection techniques; networks structure; - Skills on technical - visual and technical and software tools for means and materials of computer graphics. project graphics and methods of prototyping; - models of color representation; - means of image processing using modern software

Nominal Duration Duration: 1 Semester Cycle: Yearly Starting Term: 3 Semester Workload: 108 Hours Presence (Direct): 5,0 Hours Credit Points: 3 ECTS Assessment Criteria EVALUATION:

1.Team project and in-class activities30% 2.Individual Presentation 30% 3.Homework 35 %

4. Exam 5 % Module Contents Module 1 Physical basis for obtaining images of internal structures Module 2 Principles of building modern devices and systems for technical and medical imaging Module 3 Issues of standardization and certification of technical and medical imaging systems Prerequisite and Conditions

Some math knowledge: Basic statistics, basic university, or advanced high school. Basic programming skills preferably NI LabVIEW. Some experience with: Ni Multisim, Ni Ultiboard (or Ni Design Suite).

Before taking this course, you must already have completed the following courses: • Development and design of measuring instruments, control and diagnostics; • English language; • Adaptive electronic and microprocessor systems; • Special means of measurement, control and management; • Field model experiment in instrument making; • Methodology of scientific research and scientific and technical creativity in information and measuring systems and technologies; • Mathematical models of devices and systems; • Information technology in instrumentation; • History and development prospects of information and measuring systems and technologies.

Homework Assignments:

Participation:

Students are expected to actively participate in class by asking questions, working on in-class and exercises, giving presentations as individuals or as part of their team projects, and sharing personal experiences and opinions related to the topics discussed. Students who do not participate up to expectations or miss more than 20 % in-class hours without a pre-approved or written excuse will have their final grades reduced by one grade . Be sure to contact me BEFORE you miss a class, if possible. Let me know about last minute emergencies via phone as soon as you can. Also, please do not use cell phones, laptops, or other devices in class unless you are asked to do so. Be present in class.

Presentations:

All students need to develop good speaking skills, since it is very important for project work in real-world tasks.

- two-dimensional and three-dimensional visualization algorithms; - questions and problems of choosing the necessary computing power for tasks of two-dimensional and three-dimensional visualization; - principles of image analysis; - The principles of documenting and archiving images.

Teaching language

Russian/English Lecturer

TBA

Lab assistant

TBA Timetable

No Classroom activities Students' independent work Total № (hour) (hour) (hour)

Semester

Total Total

Labs

Thems Exams

Practice Planned

Lections

Modules Individual

1 1 3 2 6 11 25 25 36 3 2 2 3 3 6 12 25 25 37 3 3 2 3 4 9 25.4 25.4 32.65 35 Summary3- 8 8 16 32 75.4 75.4 32.65 108 dsemester Total 8 8 16 32 75.4 75.4 32.65 108

Course Plan

Lecture 1: Classification and basic characteristics of images (for medical and technical imaging) Agenda - Basic concepts about the visualization of internal structures of objects (both technical and medical). - Classification and basic characteristics of images obtained during visualization. - Issues of state and interstate regulation of the development and practical use of technical and medical imaging systems. Topics - Basic concepts and basic characteristics of images. - Classification of medical images. - Classification of medical imaging systems. - Classification of technical visualization systems.

- Issues of standardization and certification of technical and medical imaging systems.

References 1. Ilyasov L.V. Physical fundamentals and technical means of medical imaging. Uch. allowance, 2nd ed., erased. Doe, 2017 - 234 s. 2. Korolyuk IP. Medical informatics: Textbook / - 2 ed., Rev. and add. - Samara: LLC "Etching": GBOU VPO "SamGMU" .2012.- 244 p. 2012 3. Fedotov A.A. Fundamentals of digital processing of biomedical images: textbook. allowance / A.A. Fedotov. - Samara: Publishing House of SSAU, 2013 - 108 p.

Lecture 2: Physical Basics of Imaging Internal Structures Agenda - Algorithms and methods for obtaining images of internal structures. - Methods of medical and technical imaging.

Topics Physical fundamentals and technical means of obtaining images of internal structures during: X-ray imaging, radionuclide imaging, nuclear magnetic resonance imaging, electrical impedance tomography, ultrasound imaging, thermal imaging, medical endoscopy and other modern (promising) methods of medical and technical imaging. Automatic Design Systems (NIMultisim, NIUltiboard)

Lecture 3: Principles of building modern devices and systems for technical and medical imaging Agenda - Hardware, construction principles. - Software, functioning algorithms. - Design and development methodology, design and development systems.

Topics The principles of building modern devices and systems for technical and medical imaging. Modern software packages for the design and development of information-measuring systems for medical and technical visualization.

References

1. Ilyasov L.V. Physical fundamentals and technical means of medical imaging. Uch. allowance, 2nd ed., erased. Doe, 2017 - 234 s. 2. Fedotov A.A. Fundamentals of digital processing of biomedical images: textbook. allowance / A.A. Fedotov. - Samara: Publishing House of SSAU, 2013 - 108 p. 3. Tsapenko M.P. Measuring information systems. Structures and algorithms, systems engineering design - M., 2012. 438 p. 4. N.V. Abramov et al. Information systems in medicine: Textbook — Nizhnevartovsk: Nizhnevart Publishing House. humanity. University, 2008. - 171 s. 2008

• Final Exam

• Exercise session 1: Image processing using NILabVIEW and NIMultisim.

• Exercise session 2: Design and development of electronic components and components for medical and technical imaging systems using NILabVIEW and NIMultisim.

• Exercise session 3: Simulation of electronic components of medical and technical imaging systems using NILabVIEW and NIMultisim.

• Exercise session 4: A virtual system for processing images using NILabVIEW and NIMultisim.

• Exercise session 5: Automatic Design Systems (NIMultisim, NIUltiboard)

• Exercise session 6: Virtual system for the automatic design of electronic blocks of information-measuring systems for medical and technical visualization using NI Ultiboard

• Exercise session 7: Development and preparation for the manufacture of components of information-measuring systems for medical and technical imaging using NI Ultiboard Bibliography and teaching resources

Basic references 1. Ilyasov L.V. Physical fundamentals and technical means of medical imaging. Uch. allowance, 2nd ed., erased. Doe, 2017 - 234 s. 2. Korolyuk IP. Medical informatics: Textbook / - 2 ed., Rev. and add. - Samara: LLC "Etching": GBOU VPO "SamGMU" .2012.- 244 p. 2012 3. Fedotov A.A. Fundamentals of digital processing of biomedical images: textbook. allowance / A.A. Fedotov. - Samara: Publishing House of SSAU, 2013 - 108 p.

4. Tsapenko M.P. Measuring information systems. Structures and algorithms, systems engineering design - M., 2012. 438 p. 5. N.V. Abramov et al. Information systems in medicine: Textbook — Nizhnevartovsk: Nizhnevart Publishing House. humanity. University, 2008. - 171 s. 2008

Supplementary References 1. Gonzalez, R. Digital Image Processing [Text] / R. Gonzalez, R. Woods. - M .: Technosphere, 2006 .-- 1072 p. 2. Rangayyan, R.M. Biomedical Image Analysis [Text] / R.M. Rangayyan. - CRC Press, Boca Raton, 2005 .-- 1306 p. 3. Physics of visualization of images in medicine [Text]: in 2 volumes. T.1 / ed. S. Webb; trans. from English - M .: Mir, 1991 .-- 408 p. 4. Methods of computer image processing [Text] / ed. V. A. Soifer. - 2nd ed. - M .: Fizmatlit, 2003 .-- 780 p. 5. Gonzalez, R. Digital image processing in the Matlab environment [Text] / R. Gonzalez, R. Woods, S. Eddins. - M .: Technosphere, 2006 .-- 616 p. 6. Russ, J.C. The image processing handbook [Text] / J.C. Russ. - CRC Press, Boca Raton, 1999 .-- 885 p. 7. Introduction to digital signal and image processing: mathematical image models [Text]: textbook. allowance / V. A. Soifer [et al.]; Feder. Education Agency, Samar. state aerospace. un-t them. S.P. Koroleva. - Samara: Publishing House of SSAU, 2006. - 179 p.

Scheduled Work Plan.

W1: Course introduction, class survey. Basic concepts about the visualization of internal structures of objects (both technical and medical). Exercise session 1: Image processing with NILabVIEW and NIMultisim. W2: Continue exercise session 1: Image processing using NILabVIEW and NIMultisim. W3: Classification and basic characteristics of images obtained during imaging. Exercise session 2: Design and development of electronic components and components for medical and technical imaging systems using NILabVIEW and NIMultisim. W4: Continue exercise session 2: Design and development of electronic components and components for medical and technical imaging systems using NILabVIEW and NIMultisim. W5: Algorithms and methods for obtaining images of internal structures. Exercise session 3: Simulation of electronic components of medical and technical imaging systems using NILabVIEW and NIMultisim. W6: Continue exercise session 3: Simulation of electronic components of medical and technical imaging systems using NILabVIEW and NIMultisim W7: Medical and technical imaging techniques. Exercise session 4: Virtual system for image processing using NILabVIEW and NIMultisim W8: Continue exercise session 4: Virtual system for image processing using NILabVIEW and NIMultisim

W9: Hardware, construction principles. Exercise session 5: Automatic Design Systems (NIMultisim, NIUltiboard) W10: Continue exercise session 5: Automatic Design Systems (NIMultisim, NIUltiboard) W11: Software, functioning algorithms. Exercise session 6: Virtual system for the automatic design of electronic components for medical and technical imaging information-measuring systems using NI Ultiboard W12: Continue exercise session 6: Virtual system for the automatic design of electronic components for medical and technical imaging information-measuring systems using NI Ultiboard W13: Design and Development Methodology. Design and development systems. Exercise session 7: Development and preparation for the manufacture of components of information-measuring systems for medical and technical imaging using NI Ultiboard. W14: Continue exercise session 7: Development and preparation for the manufacture of components for medical and technical imaging information-measuring systems using NI Ultiboard. W15: Issues of state and interstate regulation of the development and practical use of technical and medical imaging systems. Continue exercise session 7: Development and preparation for the manufacture of components of information- measuring systems for medical and technical imaging using NI Ultiboard. W16: Continue exercise session 7: Development and preparation for the manufacture of components of information-measuring systems for medical and technical imaging using NI Ultiboard. Executing Projects. Preparing for the Exam. W17: Continue exercise session 7: Development and preparation for the manufacture of components of information-measuring systems for medical and technical imaging using NI Ultiboard. Work on team deliverables. W18: Team final presentations & Exam.

Internet resources https://www.who.int/diagnostic_imaging/publications/ http://github.com https://cxem.net/software/multisim.php https://www.multisim.com/ Software

• NI LabVIEW • NI Multisim & Ultiboard of NI DesignSuite • Jupyter Notebook

Introduction

Course Title

Virtual Enterprise

Course Scope This course has a scope to describes the various approaches for implementing DC Steady-State Analysis with Multisim, DC Sweep Operation with Multisim, Transient Analysis with Multisim, AC Sweep Analysis with Multisim, Single Frequency AC Analysis with Multisim, Fourier Analysis with Multisim, Pole Zero Analysis with Multisim, Sensitivity Analysis with Multisim, Temperature Sweep Analysis with Multisim, printed circuit board designing and manufacturing with Ultiboard, Labview graphical system designing, Labview methods of modular programming (repetition and loops, arrays, clusters), Labview methods of plotting data, Labview methods of working with structures, strings and file i/o, Labview instrument control methods and Labview motion control methods, Materials Management with SAP ERP, Production Planning and Execution with SAP ERP, Sales and Distribution with SAP ERP. Explains the main tasks involved in designing and building a measurement device, in effectively performing SAP business functions. Demonstrates knowledge of Multisim, Labview, Ultiboard and SAP ERP terms and techniques such as: possibility of scheme constructing (customizable graphic interface, free placement and connection of parts of the scheme, the formation of the Reports the Netlists; securing communications while moving parts of the scheme, the possibility of simultaneous replacement of several components, components editing, hierarchical design, possibility of streamlining multi-page projects, notations for circuits and comments to the schemes, checking the rules for constructing schemes, updating direct / reverse annotation for Ultiboard, database components and user fields export / import); simulation possibilities (mixed analog-digital simulation, SPICE 3X5 / XSPICE standards, expanded model support, importing and exporting NI files with measurement data, LabVIEW VI as inputs and sources, microcontroller emulation, MCU Function, interactive component modeling, parallel LabVIEW simulation, master of operational amplifiers, master 555 timers, filter control, amplifiers with common emitter emulation, pulsed power sources simulation, API for automation, loading simulation code from a DLL, the XSpice command line interface); additional methods of analysis; connecting external equipment using the most common interfaces and protocols; remote control of the experiment; generating and process digital signals; implementing a variety of mathematical data processing methods; visualization of data and the results of their processing (including 3D-models); modeling complex systems; storing information in databases and generating reports; CRM SAP, SRM SAP, WH SAP, PP SAP, PLM SAP.

Course Code SRSPU VE

Course Descriptor

Master’s Degree in Instrument Engineering Learning Outcomes

General Learning outcomes competence

- Furnish third parties with information and education tailored to the target group. Specific Learning outcomes competence

The ability to – Knowledge of concept – Skills in the use of -Be able to use participate in the of a virtual enterprise software for modeling modern design creation of common and its common the technological methods in creating information space; processes of common information information space on the basis of – Principles, methods enterprises of the space for virtual electro engineering enterprises; virtual enterprises of and tools for modeling the electro the technological industry; – Be able to perform engineering industry processes of enterprises – Skills in the modeling of and the modeling of of the electro engineering development and technological technological industry; management of processes of electro processes of projects to create engineering industry enterprises in the common information enterprises, determine electro engineering space for virtual the structure and industry using enterprises; composition of works modern means and on the introduction of automation systems software and hardware solutions in the field of creating common information space for virtual enterprises of the electro engineering industry;

Nominal Duration

Duration: 1 Semester Cycle: Yearly Starting Term: 3 Semester Workload: 3 ECTS Assessment Criteria

EVALUATION: 1. Laboratory assignments and in-class activities – 40% 2. Individual presentation – 10% 3. Homework assignments – 20% 4. Final exam – 30%

Assessment criteria for in-class participation:

a. «Excellent» (8-10). A critical analysis which demonstrates original thinking and shows strong evidence of preparatory research and broad background knowledge. b. «Good» (6-7). Shows strong evidence of preparatory research and broad background knowledge. Excellent oral expression. c. «Satisfactory» (4-5). Satisfactory overall, showing a fair knowledge of the topic, a reasonable standard of expression. Some hesitation in answering follow-up questions and/or gives incomplete or partly irrelevant answers. d. «Fail» (0-2). Limited evidence of relevant knowledge and an attempt to address the topic. Unable to offer relevant information or opinion in answer to follow-up questions.

Assessment criteria for written exam and laboratory assignments:

a. «Excellent» (8-10). Has a clear argument, which addresses the topic and responds effectively to all aspects of the task. Fully satisfies all the requirements of the task; rare minor errors occur. b. «Good» (6-7). Responds to most aspects of the topic with a clear, explicit argument. Covers the requirements of the task; may produce occasional errors. c. «Satisfactory» (4-5). Generally addresses the task; the format may be inappropriate in places; display little evidence of (depending on the assignment): independent thought and critical judgment include a partial superficial coverage of the key issues, lack critical analysis, may make frequent errors. d. «Fail» (0-2). Fails to demonstrate any appropriate knowledge.

Module Contents

DRAFT MODULE SCHEDULE • Module 1: Circuit modeling with Multisim. o Topics: Multisim graphic interface, connection of parts of the scheme, hierarchical design, components editing, rules for constructing schemes, updating annotation for Ultiboard, database components, mixed analog-digital simulation, expanded model support, irrational, interactive, animated parts of the scheme, measuring probes, microcontroller emulation, interactive component modeling, parallel LabVIEW simulation, filter control, pulsed power sources simulation, loading simulation code from a DLL, Transient Analysis, AC Sweep Analysis, Single Frequency AC Analysis, Fourier Analysis, Pole Zero Analysis, Sensitivity Analysis, Temperature Sweep Analysis, Worst Case Analysis. o Lectures: 6 Hours. o Tutorials: 6 Hours. o Self-directed study: 30 Hours.

• Module 2: Designing a printed circuit board with Ultiboard.

o Topics: Beginning and setting up a printed circuit design. Working with circuit parts. Working with Traces and Copper. Autorouting and Autoreplacement in Ultiboard. Preparing for manufacturing. Viewing designs in 3D. Using mechanical CAD. o Lectures: 4 Hours. o Tutorials: 2 Hours. o Self-directed study: 20 Hours.

• Module 3: Creating virtual devices with Labview. o Topics: Modular programming in Labview. Repetition and loops. Arrays. Clusters. Structures. Strings and File I/O. Plotting data. Data acquisition. IMAQ Vision. Instrument Control. Motion Control. o Lectures: 4 Hours. o Tutorials: 4 Hours. o Self-directed study: 16 Hours.

• Module 4: Virtual enterprise key business processes with SAP ERP. o Topics: Materials Management with SAP ERP, Production Planning and Execution with SAP ERP, Sales and Distribution with SAP ERP. o Lectures: 2 Hours. o Tutorials: 4 Hours. o Self-directed study: 10 Hours.

Prerequisite and Conditions

Below you will find prerequisites for Virtual Enterprise course: a. Physics courses (Electricity and Magnetism). b. Basics of electrical engineering. c. Electronics and circuits. d. Economics. Methodology

Students’ progress will be measured by final exam. The final grade includes 70% of the modular grades (4 modules) and 30% of final exam. The modular grade consists of laboratory assignments, homework assignments, individual presentation and in-class participation (40% of the modular grade). The final exam includes written assignment.

Laboratory Assignments (Exercise sessions): Laboratory assignments contain the background material and preparation necessary for understanding the virtual enterprise concept. Objective one will be to design and build a measurement device (assigned by the instructor) using Multisim, Ultiboard, Labview and fulfill all the business processes which are relevant to this main activity via SAP ERP. Device design documents will be created to guide this objective. An overview of current industry standards of workmanship and safety shall be included. Students’ projects may be undertaken individually or as teams. They may be internal or collaborative with industry. The project may involve developing a specific circuit or a more general exposure in an appropriate industrial environment.

Homework Assignments: Students will volunteer or be asked to discuss homework due that class period. Late homework will not be accepted. We will use Course Site to upload HW and do some online activities. Please name the files (one file per homework, please) with your last name and then HW1, HW2, etc. If you have a special circumstance, let me know in advance.

Presentations: Each student will give one individual presentation in class and post it in class online platform. The individual presentation should be a 10-15 minute presentation and include visual aids like PowerPoint slides, access to online resources, or use of other software. Include a reference page/slide at the end of the presentation or on the handout. References must have an author, title, and date. Also note references, such as quotes, statistics, etc. on specific slides/pages. Provide a hard copy to me and make it available electronically via email (or upload course web platform) beforehand. Presentations will be evaluated based on content, delivery, and response. I will determine presentation grades right after you present, and one of your classmates will also provide written feedback. If you change your scheduled presentation date without an approved excuse, your presentation grade will be reduced by 10%. Most individual presentations will be based on the results of your laboratory and homework assignments, such designing and manufacturing your measurement device, supporting all relevant business processes with SAP ERP.

Teaching language

English Lecturer

TBA Lab assistant

TBA

Timetable

TBA Course Plan

DRAFT CLASS SCHEDULE • Lecture 1: Creating a circuit model with Multisim. o Topics: Multisim graphic interface, connection of parts of the scheme, hierarchical design, components editing, rules for constructing schemes, updating annotation for Ultiboard, database components. o References: [1] – chapter 1, [2] – chapter 1. • Lecture 2: Multisim simulation possibilities. o Topics: mixed analog-digital simulation, expanded model support, irrational, interactive, animated parts of the scheme, measuring probes, microcontroller emulation, interactive component modeling, parallel LabVIEW simulation, filter control, pulsed power sources simulation, loading simulation code from a DLL. o References: [1] – chapter 1, [2] – chapters 1-3.

• Lecture 3: Additional analyses methods. o Topics: Transient Analysis, AC Sweep Analysis, Single Frequency AC Analysis, Fourier Analysis, Pole Zero Analysis, Sensitivity Analysis, Temperature Sweep Analysis, Worst Case Analysis. o References: [1] – chapter 1, [2] – chapters 4-14. • Lecture 4: Introduction to a printed circuit design in Ultiboard. o Topics: Beginning and setting up a printed circuit design. Working with circuit parts. Working with Traces and Copper. o References: [3] – chapters 1-7.

• Lecture 5: Further printed circuit designing actions in Ultiboard. o Topics: Autorouting and Autoreplacement in Ultiboard. Preparing for manufacturing. Viewing designs in 3D. Using mechanical CAD. o References: [3] – chapters 8-10.

• Lecture 6: Basic Labview programming concepts and tools. o Topics: Modular programming in Labview. Repetition and loops. Arrays. Clusters. Structures. Strings and File I/O. o References: [4] – chapters 1-8. • Lecture 7: Labview graphical system design technologies for real world applications.

o Topics: Plotting data. Data acquisition. IMAQ Vision. Instrument Control. Motion Control. o References: [4] – chapters 9-14. • Lecture 8: SAP Basics for virtual enterprise. o Topics: Materials Management with SAP ERP, Production Planning and Execution with SAP ERP, Sales and Distribution with SAP ERP. o Reference: [1] – chapter 2, [5] – chapters 4, 6-7.

• Final Exam

• Exercise session 1: Analog devices scheme modeling with Multisim. • Exercise session 2: Digital devices scheme modeling with Multisim. • Exercise session 3: Analog-to-digital scheme modeling with Multisim. • Exercise session 4: Designing a printed circuit board with Ultiboard. • Exercise session 5: Labview simulation for digital elements of a measurement information system. • Exercise session 6: Labview simulation for the control unit of a measurement information system. • Exercise session 7: Realizing steps of Materials Management process, Production Planning and Execution process in SAP ERP. • Exercise session 8: Realizing steps of Sales and Distribution process in SAP ERP.

Bibliography and teaching resources

Basic References: 1. R.K. Litvyak, D.V. Shaikhutdinov, N.I. Gorbatenko, Modern Technologies for Virtual Enterprise (published in 2019). 2. William D. Stanley, John R. Hackworth, Computer-Aided Circuit Analysis with Multisim (published in 2018). 3. National Instruments Graphical User Interface Ultiboard User Manual. 4. Jovitha Jerome, Virtual Instrumentation Using Labview (published in 2010). 5. Simha R. Magal, Jeffrey B. Word, Business Process Integration with SAP ERP (published in 2013).

Supplementary References:

Scheduled Work Plan

TBA Internet resources

a. https://www.academia.edu/28766509/Multisim_Basics_Schematic_Capture_and_ Simulation_Day_1_of_2_Hands-On_Training

b. https://www.ni.com/ru-ru/innovations/white-papers/13/ni-multisim-and-niultiboard-online-training.html

c. https://www.altoo.dk/LN-Course+-+Electronics+10- +PCB+layout+with+NI+Ultiboard.htm

d. http://sine.ni.com/tacs/app/fp/p/ap/ov/lang/ru/pg/1/sn/n8:28/

e. https://www.sap.com/training-certification/free-training.html

f. Other websites and online resources will be recommended. Software

Mandatory use of the following software: a. Multisim (National Instruments) b. Ultiboard (National Instruments) c. Labview (National Instruments) d. SAP ERP. Necessary Materials in class

Course WEB SITE: Most course info is in Course Site.

TEXT: a. R.K. Litvyak, D.V. Shaikhutdinov, N.I. Gorbatenko, Modern Technologies for Virtual Enterprise (published in 2019).

Lecture slides and other information will be available in the course site for this class. You are welcome to read other books as long as you follow course topics.

Volgograd State Technical University

COURSES SYLLABUS FOR INSPIRE MASTER PROGRAM

Neural Information Processing Systems – 6 ECTS Measuring Information Systems - 5 ECTS Sensors Robotic Systems - 6 ECTS Virtual enterprise-3 ECTS

Introduction The purpose of teaching "Neural Information Processing Systems" is the study of artificial neural network models and methods of their application for the solution of the information processing problems. The objectives of the development of the discipline are familiar with the current state in the field of artificial neural networks for research; simulation of artificial neural networks; explore the possibilities of application of artificial neural networks for data analysis tasks. Course Title Neural Information Processing Systems Course Scope

This course aims to introduce and discuss a number of commonly used methods techniques that students will find useful in their research and projects. In the subsequent lectures we will aim to cover the following topics:

− Biological basis of neuron functioning. The first neural network model. Perceptron. Application networking opportunities. − Sigmoidal neuron. "Adalayn" type of neuron. Neuron type WTA. Hebbian-type model. A stochastic model of a neuron. − A single-layer network. The multi-layer network. The structure of perceptron network. backpropagation algorithm. − Selection of learning rate. Heuristic methods of teaching. Comparative analysis of teaching methods. − Technical diagnostics and principles of their construction system. diagnosis methods. − Foundations and teaching methods of radial networks. Specialized structures of neural networks. Volterra network. − Hopfield network. Hamming network. YOU network. Algorithms for training recurrent networks. − Mathematical Foundations and operations on fuzzy sets. Fuzziness and probability. System Mamdani Zadeh fuzzy inference. − Structures and neural networks learning algorithms. Adaptive algorithm of fuzzy self- organizing network.

Course Code

VSTU NIPS Course Descriptor

This discipline refers to the variable part of the curriculum and a discipline of choice. Teaching "Neural Information Processing Systems" discipline based on the knowledge obtained in the course of studying the following disciplines: "Intelligent measuring device", "Mathematical modeling in instrument systems". Study Program

Master’s Degree in Instrument Engineering Learning Outcomes

Ability to describe new - Methods of collecting Ability to describe new - Methods of collecting methods of engineering scientific and technical methods of engineering scientific and technical and technological information and technological information activity activity Ability to mathematical Skills on usage of -Be able to demonstrate Knowledge on modeling of processes principals and methods basic knowledge in the and objects of electrical classification of modeling of constructing the field of natural science engineering; relevant and mathematical models software; disciplines; research on the basis of types; - Skills on logical - Be able to use the basic standard software; organization and stages laws in the development of developing own The basic properties of any of designing software specialized software for specialized software; model; for information and mathematical modeling of measurement systems; physical processes of Stages of computer electrical engineering;

modeling, including - Be able to plan a simulation; computer simulation - Basic approaches to experiment; - Be able to process and modeling. analyze the simulation results; - Be able to apply basic knowledge in the field of natural science disciplines in simulation modeling.

Nominal Duration Duration: 2 Semester Cycle: Yearly Starting Term: 3-4 Semester Workload: 216 Hours Presence (Direct): 80 Hours Credit Points: 6 ECTS Assessment Criteria

EVALUATION: 1. Team project and in-class activities 30 % 2. Individual Presentation 30 % 3. Homework 35 % 4. Exam 5 % Module Contents

3 semester

Module 1 introduction

Module 2 Neuron models and methods of training.

Module 3 Unidirectional multi-network sigmoidal type

Module 4 Gradient algorithms learning network.

Module 5 Radial neural networks

4 semester

Module 1 Recurrent Neural Networks

Module 2 Fuzzy systems

Module 3 Fuzzy Neural Network. Prerequisite and Conditions

• Some knowledge with mathematics: Basic Statistics, Basic University or Advanced high school. • Basic skills in programing preferably NI LabVIEW.

Before taking this course, you should have already completed following courses:

• Intelligent measuring device

• Mathematical modeling in instrument systems; Methodology

Lecture, homework, in-class exercises, group discussion, exams will be used to aid in understanding and application of intellectual systems. Assessment Methods

Participation:

Students are expected to actively participate in class by asking questions, working on in-class and exercises, giving presentations as individuals or as part of their team projects, and sharing personal experiences and opinions related to the topics discussed. Students who do not participate up to expectations or miss more than 20 % in-class hours without a pre-approved or written excuse will have their final grades reduced by one grade . Be sure to contact me BEFORE you miss a class, if possible. Let me know about last minute emergencies via phone as soon as you can. Also, please do not use cell phones, laptops, or other devices in class unless you are asked to do so. Be present in class.

Test assignment: In the test at the student is given an individual task (in embodiments), which consists in writing an essay on the neural network theory, followed by its protection. The work performed in writing within 10 weeks after the issuance of the job. Control deadline - the last month of the semester.

Course work In the course work student is given an individual task (in embodiments) consisting in modeling the pattern recognition using artificial neural networks Mathlab medium. for course work assignment: 1) Create a learning examples given topology of the neural network. The number of training examples is determined according to an embodiment. To develop a mathematical model of training examples; 2) Show an artificial neural network according to the original data; 3) Using the software Mathlab Neural Network Toolbox to write a program that simulates a given artificial neural network; 4) To train the neural network using the training examples generated by backpropagation algorithm; 5) Record obtained in the training process the weights of neurons of each layer; 6) evaluate the effectiveness of the artificial neural network using the "noisy" training examples. The work performed in writing within 10 weeks after the issuance of the job. Control deadline - the last month of the semester.

The approximate content of the control and of course work 1. Title page. 2. The formulation of objectives of conditions included in the control or course assignment. 3. The main part comprising (for each task of the job): 1) a brief statement of the problem, 2) translating units in the SI system (if necessary), 3) necessary to meet the scheme objectives, figures drawings, 4) solution of the problem with the use of mathematical tools and physical laws and formulas, 5) checking the dimensions of the resulting expression (if necessary), 6) the necessary calculations, 7) plotting (if required) 8) answer. 4. List of used sources (including Internet sources).

List of questions for the interviews 1. What principles form the basis of the neural network? 2. Name the first neural network model. 3. What are the potential practical use of neural networks? 4. Explain the principle of operation of the perceptron. 5. Give sigmoidal model of a neuron. 6. Explain the principle of operation of the neuron type "adalayn". 7. Explain the principle of operation of the neuron type WTA. 8. Explain the principle of operation of the neuron type Hebb. 9. Give a stochastic model of a neuron. 10. Draw the structure of perceptron network. 11. Bring backpropagation algorithm. 12. Call gradient algorithms for network training. 13. Call heuristic teaching methods. 14. How is the selection of the learning rate. 15. A comparative analysis of teaching methods. 16. Explain the principle of operation of radial neural network. 17. The mathematical foundations and teaching methods of radial networks. 18. Draw ad hoc network structure. 19. Draw the structure of the network of Volterra. 20. Explain the principle of operation of a recurrent neural network. 21. What is the principle of operation of Hopfield network? 22. What is the operating principle of the Hamming network? 23. What is the principle of operation of the network you? 24. Give recurrent networks learning algorithms. 25. What are the applications of fuzzy systems. 26. On a mathematical theory based operation of fuzzy systems. 27. Call operations on fuzzy sets. 28. Explain the concept of fuzziness and probability. 29. Explain fuzzy inference system Mamdani Zadeh. 30. Draw the structure of the neural network. 31. The algorithm of neural network training. 32. Give an adaptive algorithm of fuzzy self-organizing network.

A list of questions for the exam 1. What principles form the basis of the neural network? 2. Name the first neural network model. 3. What are the potential practical use of neural networks? 4. Explain the principle of operation of the perceptron. 5. Give sigmoidal model of a neuron. 6. Explain the principle of operation of the neuron type "adalayn". 7. Explain the principle of operation of the neuron type WTA. 8. Explain the principle of operation of the neuron type Hebb. 9. Give a stochastic model of a neuron. 10. Draw the structure of perceptron network. 11. Bring backpropagation algorithm. 12. Call gradient algorithms for network training. 13. Call heuristic teaching methods. 14. How is the selection of the learning rate. 15. A comparative analysis of teaching methods. 16. Explain the principle of operation of radial neural network. 17. The mathematical foundations and teaching methods of radial networks. 18. Draw ad hoc network structure. 19. Draw the structure of the network of Volterra. 20. Explain the principle of operation of a recurrent neural network. 21. What is the principle of operation of Hopfield network? 22. What is the operating principle of the Hamming network? 23. What is the principle of operation of the network you? 24. Give recurrent networks learning algorithms. 25. What are the applications of fuzzy systems. 26. On a mathematical theory based operation of fuzzy systems. 27. Call operations on fuzzy sets. 28. Explain the concept of fuzziness and probability. 29. Explain fuzzy inference system Mamdani Zadeh. 30. Draw the structure of the neural network. 31. The algorithm of neural network training. 32. Give an adaptive algorithm of fuzzy self-organizing network.

Teaching language

Russian Lecturer

TBA

Lab assistant

TBA Timetable

No Classroom activities Students' independent work Total № (hour) (hour) (hour)

Semester

Total Total

Labs

Thems Exams

Practice

Planned

Lections

Modules Individual

1 1 2 6 6 14 2 2 2 4 10 6 22 3 3 3 4 4 6 10 24 4 4 4 4 8 8 24 5 5 4 4 8 8 24 Summary 3-d 16 16 38 28 98 semester 1 1 12 8 4 4 28 4 2 2 12 4 2 6 24 3 3 8 4 3 5 20 Summary 4-d 32 16 9 15 72 semester Total

Course Plan

Lecture 1: introduction • Topics Biological basis of neuron functioning. The first neural network model. Perceptron. Application networking opportunities. References Stankevich, LAIntelligent Systems and Technologies: tutorial and workshop for undergraduate and graduate / LA Stankevich. - M .: Yurayt Publishing, 2018. - 397 p. - (. Series: Bachelor and Master Academic Course). https://biblio-online.ru/viewer/A45476D8-8106-487A-BA38- 2943B82B4360/intellektualnye-sistemy-i-tehnologii#page/1

Lecture 2: Neuron models and methods of training. Topics • Sigmoidal neuron. "Adalayn" type of neuron. Neuron type WTA. Hebbian-type model. A stochastic model of a neuron.

References Gorlushkina NN System analysis and modeling of information processes and systems - St. Petersburg: St. Petersburg: ITMO University, 2016, 2017. - 120 p. - copies. http://books.ifmo.ru/book/1975/sistemnyy_analiz_i_modelirovanie_informacionnyh_processov_ i_sistem.htm

Lecture 3: Unidirectional multi-network sigmoidal type.

• Topics

A single-layer network. The multi-layer network. The structure of perceptron network. backpropagation algorithm.

References

Information and measuring equipment and electronics. Converters nonelectrical quantities: Textbook for Universities / OA Ageev [et al.]; under the total. Ed. OA Ageev, Vladimir Petrov. - 2nd ed.. and ext. - M.:Izdatelstvo Yurayt, 2016. - 158 p. - (Russian Universities).

Lecture 4: Gradient algorithms learning network.

• Topics

Selection of learning rate. Heuristic methods of teaching. Comparative analysis of teaching methods.

References

Petrov SA Micro-measuring systems: Textbook. manual / SA Petrov, AI Nefed'ev; VSTU. - Volgograd: Volgograd State Technical University, 2015. - 112 p.

Lecture 5: Radial neural networks.

Topics

Mathematical Foundations and teaching methods of radial networks. Specialized structures of neural networks. Volterra network.

References

Drop VI Intellectual systems: Textbook. Manual / VI Drop; VSTU. - Volgograd, 2018. - 96 p.Final Exam

• Exercise session 1: Hopfield network

• Exercise session 2: Hamming network

• Exercise session 3: Algorithms for training recurrent networks

• Exercise session 4: Mathematical Foundations and operations on fuzzy sets

• Exercise session 5: Fuzziness and probability

• Exercise session 6: Fuzzy inference system Mamdani Zadeh

• Exercise session 7: Structure and learning algorithms of neural networks

Exercise session 8: Adaptive algorithm of fuzzy self-organizing network Bibliography and teaching resources

Basic references

Stankevich, LAIntelligent Systems and Technologies: tutorial and workshop for undergraduate and graduate / LA Stankevich. - M.:Izdatelstvo Yurayt, 2018. - 397 p. - (. Series: Bachelor and Master Academic Course). - ISBN 978-5-534-02126-4. Access mode: https://biblio- online.ru/book/0CBA0F5B-1227-46F3-8C8E-D9BAB4AC306A.

Hasanov, EEIntelligent Systems. The theory of information storage and retrieval: a textbook for undergraduate and graduate / EE Gasanov and VB Kudryavtsev. - 2nd ed.. and ext. - M.:Izdatelstvo Yurayt, 2018. - 289 p. - (. Series: Bachelor and Master Academic Course). - ISBN 978-5-534-00896-8. Access mode: https://biblio-online.ru/book/AF922FEB-2DC1-4864- 8D5A-DE355E04F486

Gorbachenko, VIIntelligent systems: fuzzy systems and networks: Textbook for Universities / VI Gorbachenko, BS Akhmetov, O. Kuznetsova. - 2nd ed.. and ext. - M.:Izdatelstvo Yurayt, 2018. - 103 p. - (Series: Universities of Russia). - ISBN 978-5-534-03678-7. Access mode: https://biblio-online.ru/book/7F3CBB90-F2E4-4A1A-80C6-705B143D0E27

Supplementary References

Shilin AN Theory of decision-making in the design of information and measuring equipment: Textbook. Manual / AN Shilin, IA Koptelova; VSTU. - Volgograd: Volgograd State Technical University, 2012. - 126 p. Egorova IE Intelligent information systems: Textbook. Manual / IE Egorova; VSTU. - Volgograd: Volgograd State Technical University, 2016. - 128 p. Shilin AN Theory of decision-making in the design of information and measuring equipment: Textbook. Manual / AN Shilin, IA Koptelova; VSTU. - Volgograd: Volgograd State Technical University, 2012. - 126 p.

Egorova IE Intelligent information systems: Textbook. Manual / IE Egorova; VSTU. - Volgograd: Volgograd State Technical University, 2016. - 128 p.

Scheduled Work Plan

3 semester

• W 1: Biological basis of neuron functioning. Exercise session 1: Hopfield network

• W 2: The first neural network model. Continue exercise session 1: Hopfield network

• W 3: Perceptron.. Exercise session 2: Hamming network

• W 4: Application networking opportunities.The content and usefulness of information measures. Continue exercise session 2: Hamming network

• W 5: Sigmoidal neuron. "Adalayn" type of neuron. Exercise session 3: Algorithms for training recurrent networks

• W 6: Neuron type WTA.Continue exercise session 3: Algorithms for training recurrent networks

• W 7: Hebbian-type model. Exercise session 4: Mathematical Foundations and operations on fuzzy sets

• W 8: A stochastic model of a neuron. Continue exercise session 4: Mathematical Foundations and operations on fuzzy sets

• W 9: A single-layer network. Exercise session 5: Fuzziness and probability

• W 10: The multi-layer network. Continue exercise session 5: Fuzziness and probability

• W 11: The structure of perceptron network Exercise session 6: Fuzzy inference system Mamdani Zadeh

• W 12: Selection of controlled variables. Continue exercise session 6: Fuzzy inference system Mamdani Zadeh

• W 13: Heuristic methods of teaching..Exercise session 7: Structure and learning algorithms of neural networks

• W 14: Comparative analysis of teaching methods.Continue exercise session 7: Structure and learning algorithms of neural networks

• W 15: Mathematical foundations and teaching methods of radial networks Exercise session 8: Adaptive algorithm of fuzzy self-organizing network

• W 16: Specialized structures of neural networks.Continue exercise session 8: Adaptive algorithm of fuzzy self-organizing network

• W 17: Volterra network.Continue exercise session 8: Adaptive algorithm of fuzzy self- organizing network

• W 18: Exam.

4 semester

• W 1: Auto-associative Hopfield network. Exercise session 1: Neuron models and methods of training

• W 2: Auto-associative Hopfield network.Continue exercise session 1: Neuron models and methods of training

• W 3: Hamming network. Exercise session 2: Unidirectional multi-network sigmoidal type

• W 4: YOU network. Continue exercise session 2: Unidirectional multi-network sigmoidal type

• W 5: YOU network. Exercise session 3: Gradient algorithms learning network

• W 6: YOU network. Exercise session 3: Gradient algorithms learning network

• W 7: Algorithms for training recurrent networks.Exercise session 4: Radial neural networks

• W 8: Algorithms for training recurrent networks.Continue exercise session 4: Radial neural networks

• W 9: Mathematical Foundations and operations on fuzzy sets. Exercise session 5: Recurrent neural networks: Hopfield Network

• W 10: Mathematical Foundations and operations on fuzzy sets. Continue exercise session 5: Hopfield Network

• W 11: Fuzziness and probability. Exercise session 6: Fuzzy inference system Mamdani Zadeh

• W 12: Fuzziness and probability. Continue exercise session 6: Fuzzy inference system Mamdani Zadeh

• W 13: System Mamdani Zadeh fuzzy inference.Exercise session 7: Recurrent Neural Networks: Hamming network

• W 14: System Mamdani Zadeh fuzzy inference. Continue exercise session 7: Recurrent Neural Networks: Hamming network

• W 15: Structures and neural networks learning algorithms. Exercise session 8: Mathematical Foundations and operations on fuzzy sets

• W 16: Adaptive algorithm of fuzzy self-organizing network. Continue exercise session 8: Mathematical Foundations and operations on fuzzy sets

• W 17: Adaptive algorithm of fuzzy self-organizing network. Continue exercise session 8: Mathematical Foundations and operations on fuzzy sets

• W 18: Exam. Internet resources

• http://ai-news.ru/ • http://github.com Software

• NI LabVIEW Necessary Materials in class

TEXT: Shilin AN Theory of decision-making in the design of information and measuring equipment: Textbook. Manual / AN Shilin, IA Koptelova; VSTU. - Volgograd: Volgograd State Technical University, 2012. - 126 p.

You can read the first chapter and find templates, interactive quizzes, and other materials. Lecture slides and other information will be available in the University site for this class. You are welcome to read other books as long as you follow course topics. I encourage you to share name of books, sites that might be helpful to your learning.

Scheduling of activities

The following table describes the work to be done by each student during the semester. It specifies the deadlines for the submission of hand-outs and exercises. It is strongly recommended that the students will closely follow this plan to achieve good results. If the lecturer needs to modify any planned activity, students will be warned sufficiently in advance.

No Week Dates Activities Notes No 1 W1 According to Auto-associative Hopfield network. Exercise session 1: Neuron academic year models and methods of training schedule 2 W2 According to Auto-associative Hopfield network.Continue exercise session 1: academic year Neuron models and methods of training schedule 3 W3 According to Hamming network. Exercise session 2: Unidirectional multi-network academic year sigmoidal type schedule 4 W4 According to YOU network. Continue exercise session 2: Unidirectional multi- academic year network sigmoidal type schedule 5 W5 According to YOU network. Exercise session 3: Gradient algorithms learning academic year network schedule 6 W6 According to YOU network. Exercise session 3: Gradient algorithms learning academic year network schedule 7 W7 According to Algorithms for training recurrent networks.Exercise session 4: Radial academic year neural networks schedule 8 W8 According to Algorithms for training recurrent networks.Continue exercise session academic year 4: Radial neural networks schedule 9 W9 According to Mathematical Foundations and operations on fuzzy sets. Exercise academic year session 5: Recurrent neural networks: Hopfield Network schedule 10 W10 According to Mathematical Foundations and operations on fuzzy sets. Continue academic year exercise session 5: Hopfield Network schedule 11 W11 According to Fuzziness and probability. Exercise session 6: Fuzzy inference academic year system Mamdani Zadeh schedule 12 W12 According to Fuzziness and probability. Exercise session 6: Fuzzy inference academic year system Mamdani Zadeh schedule 13 W13 According to System Mamdani Zadeh fuzzy inference.Exercise session 7: academic year Recurrent Neural Networks: Hamming network schedule 14 W14 According to System Mamdani Zadeh fuzzy inference.Exercise session 7: academic year Recurrent Neural Networks: Hamming network schedule 15 W15 According to Structures and neural networks learning algorithms. Exercise session academic year 8: Mathematical Foundations and operations on fuzzy sets schedule 16 W16 According to Adaptive algorithm of fuzzy self-organizing network. Continue academic year exercise session 8: Mathematical Foundations and operations on schedule fuzzy sets 17 W17 According to Adaptive algorithm of fuzzy self-organizing network. Continue academic year exercise session 8: Mathematical Foundations and operations on schedule fuzzy sets 18 W18 According to Exam. academic year schedule

Introduction The purpose of teaching "Measuring Information Systems" is to develop students' professional competencies related to the development and maintenance of modern measuring systems, analyze the state of scientific and technical problems and formulate goals and objectives of designing measurement systems, the ability to develop new devices for these systems. Course Title

Measuring Information Systems Course Scope

− The amount of information in the discrete and continuous communications. Encoding and decoding messages. Discretization of continuous signals. Modulation; − The data transfer speed and communication channel throughput. information dimension. The amount of information and redundancy. The content and usefulness of information measures. The entropy of the noise; − Generalized block diagram and operation of RIS. Classification of MIS. The main varieties of IMS interfaces and structures. Classification of interfaces. Protocols and standard information exchange algorithms. Measuring-computing complexes; − Measuring systems (MS) of independent input variables. Multipoint and multiplexed IP. Scanning systems. Holographic ICs. Multidimensional and approximate IC. Statistical measurement systems. automatic control system, the functions and the main types. Selection of controlled variables. The sample size under control. − Technical diagnostics and principles of their construction system. diagnosis methods. − MIS design stage. Programming and metrological support. Test methods. The criteria and methods of evaluation of the input variable measurement errors. Method of estimation of total error. IMS error links. quantization error. Information evaluation. − Temporal characteristics of MIS. Determination of uniform sampling intervals. Additive sampling. Evaluation method of measuring time transformations analog part. method of evaluation time of the digital portion of the IMS. − Features of metrological support in the design, manufacture and operation of IMS. Means of measurements as a basis for metrological maintenance. Influence of measurement accuracy and reliability of the MIS. Automatic correction of error of IMS. The choice of means of measurement accuracy. IMS as a means of control, diagnostics and calibration.

VSTU MIS Course Descriptor

Preparing students for the application of artificial intelligence methods, and in particular, machine learning, in professional design and research activities. Study Program

Master’s Degree in Instrument Engineering Learning Outcomes

Ability to execute - Basic methods of -Skills of using the - Choose the necessary measuring and research engineering results of measurements, methods and engineering of various objects measurements, control testing and control means for measuring and according to an and testing, - Skills in quality controlling the basic existing methodology. - Problems of system control and testing in physical quantities, testing measurements, features of instrument-making products construction of modern - Process the results and information-measuring determine the errors in the systems, control systems results of measurements, and testing systems, control and testing

The ability to develop - Principles and methods Skills in the -Be able to apply software for complex of constructing the development and theoretical knowledge, information and software; debugging of software basic and applied measurement systems - ogical organization and for information and information technologies using modern computer stages of designing measurement systems; in the field of professional technologies; software for information - Skills of setting and activity for creating and measurement performing experiments software systems; using modern software solve applied problems in - Technical, operational tools and packages; accordance with the characteristics and technical task for the -Basic skills for solving selection criteria for a development of the practical problems in the complex of software tools information-measuring field of information for information and system; systems and measurement systems; - Be able to apply the technologies, the ability theory of the system to apply applied

- Components of software information approach and complexes and databases; technologies. mathematical methods in - Requirements for special the formalization of software for information processes; and measurement - Be able to justify the systems; choice of effective special - Modern tools and software and hardware; programming - Be able to to search, technologies; analyze, select and install - The theoretical special software; foundations of skills in - Be able to to perform software development for control, diagnostics and complex information and restoration of the the measurement systems software operability.

Nominal Duration

Duration: 1 Semester Cycle: Yearly Starting Term: 4 Semester Workload: 132 Hours Presence (Direct): 48 Hours Credit Points: 5 ECTS Assessment Criteria

EVALUATION: 1. Team project and in-class activities 30 % 2. Individual Presentation 30 % 3. Homework 35 % 4. Exam 5 %

Module Contents

Module 1 General questions MIS theory.

Module 2 Fundamentals of the theory of construction of MIS.

Module 3 Structure and algorithms of IMS.

Module 4 Technical characteristics of the MIS.

Module 5 Metrological support of IMS. Prerequisite and Conditions

• Some knowledge with mathematics: Basic Statistics, Basic University or Advanced high school. • Basic skills in programing preferably NI LabVIEW. • Some experience with: NI Multisim

Before taking this course, you should have already completed following courses:

• Metrological assurance of measuring instruments;

• English language;

• Intelligent measurement devices;

• Optoelectronic measurement, control and diagnostics;

• Quality Management System;

• Mathematical models of devices and systems;

• Information technology in instrumentation; Methodology

Lecture, homework, in-class exercises, group discussion, presentations, exams will be used to aid in understanding and application of intellectual systems. Assessment Methods

Participation:

Students are expected to actively participate in class by asking questions, working on in-class and exercises, giving presentations as individuals or as part of their team projects, and sharing personal experiences and opinions related to the topics discussed. Students who do not participate up to expectations or miss more than 20 % in-class hours without a pre-approved or written excuse will have their final grades reduced by one grade . Be sure to contact me BEFORE you miss a class, if possible. Let me know about last minute emergencies via phone as soon as you can. Also, please do not use cell phones, laptops, or other devices in class unless you are asked to do so. Be present in class.

Test assignment:

1 select MIS application 2 conduct a patent search, identify analogues and prototypes 3 describe IIS from the point of view of its coification (with a serial channel, parallel, etc.) 4 present the block diagram of IIS and its circuit diagram 5 simulate the work of MIS in LabView

List of Questions for credit 1. What are the ways of transmission of measurement data. 2. How is the amount of information in the continuous messages? 3. How is the amount of information in digital communications? 4. For what purpose is carried out encoding and decoding of information? 5. Give examples encoding and decoding information. 6. A mathematical description of the operation of continuous sampling signals. 7. Based on a determined continuous signals theorem the sampling frequency? 8. Call recovery methods continuous signals from discrete samples. 9. For what purpose is carried out continuous modulation signals? 10. How is frequency modulated continuous signals? 11. How is the data transfer rate and bandwidth communications? 12. How is the amount of information and redundancy? 13. Explain the concept: the content and usefulness of the information measure. 14. Give a definition of the concept of entropy. As the entropy associated with the noise? 15. Represent generalized block diagram of IMS and explain the purpose of the system blocks. 16. List the main types of MIS structures and their interfaces. 17. A classification of IMS interfaces. 18. Provide protocols and standard information exchange algorithms. 19. The different measuring and computing systems of information-measuring systems? 20. What functions are performed by the measuring system (IS) of independent input variables? 21. What are the functions multipoint and multiplexed IP? 22. What functions are performed by scanning IP? 23. What are the functions holographic ICs? 24. What are the functions and multidimensional approximate IC? 25. What functions are performed by the statistical measurement systems? 26. Call function, the theoretical basis and the main types of automatic control systems (BAC). 27. How is the selection of controlled variables NAO and the areas of their condition? 28. The technique of determining the volume of sample and control errors during automatic control. 29. What are the functions of technical diagnostics systems and principles of their construction. 30. Name the functions, features and characteristics of the basic telemetry system (TIS). 31. List the stages of the design of IMS. 32. What are the test methods used in the design of IIS?

33. What are the criteria and methods for evaluating the measurement error used in the design of IIS? 34. As determined by the temporal characteristics of the MIS? 35. A method for evaluation of work time IMS (analog and digital portions). 36. What are the features of metrological support in the design, manufacture and operation of IMS? 37. What is the effect of a measuring instrument on the precision and reliability of the MIS? 38. A method for automatically correcting errors in IIS.

Teaching language

English/Russian

Lecturer

TBA

Lab assistant

TBA Timetable

No Classroom activities Students' independent work Total № (hour) (hour) (hour)

Semester

Total Total

Labs

Thems Exams

Practice

Planned

Lections

Modules Individual

1 1,2 2 4 2 8 10 6 2 3 2 2 2 6 8 8 4 3 4,5 4 4 4 12 20 14 4 6,7 2 4 6 12 12 20 5 8 2 2 2 6 10 7 21 Summary 4-d 12 16 16 44 60 55 159 21 180 semester Total 12 16 16 44 60 55 159 21 180

Course Plan

Lecture 1: General questions MIS theory. • Topics The amount of information in the discrete and continuous communications. Encoding and decoding messages. Discretization of continuous signals. Modulation. The data transfer speed and communication channel throughput. information dimension. The amount of information and redundancy. The content and usefulness of information measures. The entropy of the noise. References Stankevich, LAIntelligent Systems and Technologies: tutorial and workshop for undergraduate and graduate / LA Stankevich. - M .: Yurayt Publishing, 2018. - 397 p. - (. Series: Bachelor and Master Academic Course). https://biblio- online.ru/viewer/A45476D8-8106-487A-BA38-2943B82B4360/intellektualnye-sistemy- i-tehnologii#page/1

Lecture 2: Fundamentals of the theory of construction of MIS. • Topics • Generalized block diagram and operation of RIS. Classification of MIS. The main varieties of IMS interfaces and structures. Classification of interfaces. Protocols and standard information exchange algorithms. Measuring-computing complexes. • References Gorlushkina NN System analysis and modeling of information processes and systems - St. Petersburg: St. Petersburg: ITMO University, 2016, 2017. - 120 p. - copies. http://books.ifmo.ru/book/1975/sistemnyy_analiz_i_modelirovanie_informacionnyh_pro cessov_i_sistem.htm

Lecture 3: Structure and algorithms of MIS.

• Topics

Measuring systems (MS) of independent input variables. Multipoint and multiplexed IP. Scanning systems. Holographic ICs. Multidimensional and approximate IC. Statistical measurement systems automatic control system, the functions and the main types. Selection of controlled variables. The sample size under control. technical diagnostics and principles of their construction system. diagnosis methods. Telemetric system (TIS). Features and main characteristics of the TIS. link. signal separation in TIS. Analog, digital and adaptive TIS.

References

Lecture 4: Technical characteristics of the MIS.

• Topics • MIS design stage. Programming and metrological support. Test methods. The criteria and methods of evaluation of the input variable measurement errors. Method of estimation of total error. IMS error links. quantization error. Information evaluation. • Temporal characteristics of MIS. Determination of uniform sampling intervals. Additive sampling. Evaluation method of measuring time transformations analog part. method of evaluation time of the digital portion of the MIS.

References

Petrov SA Micro-measuring systems: Textbook. manual / SA Petrov, AI Nefed'ev; VSTU. - Volgograd: Volgograd State Technical University, 2015. - 112 p.

Lecture 5: Metrological support of IMS.

• Topics

Features of metrological support in the design, manufacture and operation of IMS. Means of measurements as a basis for metrological maintenance. Influence of measurement accuracy and reliability of the MIS. Automatic correction of error of IMS. The choice of means of measurement accuracy. IMS as a means of control, diagnostics and calibration.

References

Drop VI Intellectual systems: Textbook. Manual / VI Drop; VSTU. - Volgograd, 2018. - 96 p.Final Exam

• Exercise session 1: The calculation of the amount of information in discrete and continuous communications. Discretization of continuous signals.

• Exercise session 2: Determining the information rate and channel capacity.

• Exercise session 3: Determination of the amount of information and redundancy. The content and usefulness of information measures. The entropy of the noise.

• Exercise session 4: Development of a generalized block diagram for specific processes or technical systems.

• Exercise session 5: Determination of the temporal and frequency characteristics of MIS. Calculation of dynamic error of IMS.

• Exercise session 6: MIS techniques improve performance. Determination of uniform sampling intervals.

• Exercise session 7: Determination of MIS metrological characteristics.

Exercise session 8: Methods for automatic correction of errors in IIS. Bibliography and teaching resources

Basic references

• Information-measuring system: Proc. Manual / Yu.P.Muha, I.Yu.Koroleva; VolgGTU.- Volgograd, 2015.-108 with.

Information-measuring system with adaptive transformations. flexible management operation /Yu.P.Muha, OA Avdeyuk, I.Yu.Koroleva. Volgograd: IUNL, Volgograd State Technical University, 2010.-310 with.

Stankevich, LAIntelligent Systems and Technologies: tutorial and workshop for undergraduate and graduate / LA Stankevich. - M .: Yurayt Publishing, 2018. - 397 p. - (. Series: Bachelor and Master Academic Course). https://biblio-online.ru/viewer/A45476D8-8106-487A-BA38- 2943B82B4360/intellektualnye-sistemy-i-tehnologii#page/1

Gorlushkina NN System analysis and modeling of information processes and systems - St. Petersburg: St. Petersburg: ITMO University, 2016, 2017. - 120 p. - copies. http://books.ifmo.ru/book/1975/sistemnyy_analiz_i_modelirovanie_informacionnyh_processov_ i_sistem.htm

Supplementary References

Egorova IE Intelligent information systems: Textbook. Manual / IE Egorova; VSTU. - Volgograd: Volgograd State Technical University, 2016. - 128 p. Information and measuring equipment and electronics. Converters nonelectrical quantities: Textbook for Universities / OA Ageev [et al.]; under the total. Ed. OA Ageev, Vladimir Petrov. - 2nd ed.. and ext. - M.:Izdatelstvo Yurayt, 2016. - 158 p. - (Russian Universities).

Drop VI Intellectual systems: Textbook. Manual / VI Drop; VSTU. - Volgograd, 2018. - 96 p.

Petrov SA Micro-measuring systems: Textbook. manual / SA Petrov, AI Nefed'ev; VSTU. - Volgograd: Volgograd State Technical University, 2015. - 112 p. Scheduled Work Plan

• W 1: The amount of information in the discrete and continuous communications.. Exercise session 1: The calculation of the amount of information in discrete and continuous communications. Discretization of continuous signals..

• W 2: Encoding and decoding messages. Discretization of continuous signals. Continue exercise session 1: Processing indirect measurement results and error estimation using NI LabVIEW and NI Multisim. Discuss individual project proposals and case studies, begin forming teams.

• W 3: Discretization of continuous signals. Modulation. Exercise session 2: Determining the information rate and channel capacity

• W 4: The amount of information and redundancy. The content and usefulness of information measures. Continue exercise session 2: Determining the information rate and channel capacity.

• W 5: The entropy of the noise. Exercise session 3: Determination of the amount of information and redundancy. The content and usefulness of information measures. The entropy of the noise.

• W 6: Generalized block diagram and operation of RIS. Continue exercise session 3: Determination of the amount of information and redundancy. The content and usefulness of information measures. The entropy of the noise.

• W 7: Classification of MIS.. The main varieties of IMS interfaces and structures. Exercise session 4: Development of a generalized block diagram for specific processes or technical systems.

• W 8: Protocols and standard information exchange algorithms. Continue exercise session 4: Development of a generalized block diagram for specific processes or technical systems.

• W 9: Measuring-computing complexes. Exercise session 5: Determination of the temporal and frequency characteristics of MIS. Calculation of dynamic error of IMS.

• W 10: Measuring systems (IS) of independent input variables. Continue exercise session 5: Determination of the temporal and frequency characteristics of MIS. Calculation of dynamic error of IMS.

• W 11: Scanning systems. Exercise session 6: MIS techniques improve performance. Determination of uniform sampling intervals.

• W 12: Selection of controlled variables. Continue exercise session 6: MIS techniques improve performance. Determination of uniform sampling intervals.

• W 13: Technical diagnostics and principles of their construction system. diagnosis methods. Exercise session 7: Determination of MIS metrological characteristics.

• W 14: Features and main characteristics of the TIS. Continue exercise session 7: Determination of MIS metrological characteristics.

• W 15: The criteria and methods of evaluation of the input variable measurement errors. Exercise session 7: Determination of MIS metrological characteristics.

• W 16: Determination of uniform sampling intervals. Continue exercise session 8: Methods for automatic correction of errors in IIS.

• W 17: Features of metrological support in the design, manufacture and operation of IMS. Continue exercise session 8: Methods for automatic correction of errors in IIS.

• W 18: Exam. Internet resources

• http://ai-news.ru/ • http://github.com

Software

• NI LabVIEW Necessary Materials in class

TEXT: Information-measuring system: Proc. Manual / Yu.P.Muha, I.Yu.Koroleva; VSTU.- Volgograd, 2015.-108

Scheduling of activities

No Week Dates Activities Notes No 1 W1 According to Exercise session 1: Processing indirect measurement results and error academic year estimation using NI LabVIEW and NI Multisim. schedule

2 W2 According to Continue exercise session 1: Processing indirect measurement results academic year and error estimation using NI LabVIEW and NI Multisim. Formation schedule of proposals for individual project proposals and case studies, begin forming in teams. Preparing for the Lecture “Fundamentals of Artificial Intelligence Theory.” 3 W3 According to Exercise session 2: Processing the results of joint measurements and academic year evaluating their errors using NI LabVIEW and NI Multisim. Starting schedule own project 4 W4 According to Continue exercise session 2: Processing the results of joint academic year measurements and evaluating their error using NI LabVIEW and NI schedule Multisim. Continue own project. Preparing for the Lecture “Intellectualization of measurements of physical quantities.” 5 W5 According to Exercise session 3: Virtual intelligent system for metrological academic year analysis of measuring instruments implemented in the NI Multisim schedule environment. Finalize projects. 6 W6 According to Continue exercise session 3: Virtual intelligent system for academic year metrological analysis of measuring instruments implemented in the schedule NI Multisim environment. Preparing for the Lecture “Intelligent Sensors.” 7 W7 According to Exercise session 4: A virtual intelligent system for measuring the academic year spectrum of measurement signals in an NI Multisim environment. schedule 8 W8 According to Continue exercise session 4: A virtual intelligent system for academic year measuring the spectrum of measurement signals in an NI Multisim schedule environment. Preparing for the Lecture “Data Interfaces.” 9 W9 According to Exercise session 5: A virtual intelligent system for measuring time- academic year frequency signals in an NI LabVIEW environment. schedule 10 W10 According to Continue exercise session 5: A virtual intelligent system for academic year measuring time-frequency signals in an NI LabVIEW environment. schedule Preparing for the Lecture “Software.” 11 W11 According to Exercise session 6: Field Calculation Intelligent Measurement academic year System based on the TDS and NI Multisim Oscilloscope. schedule 12 W12 According to Continue exercise session 6: TDS and NI Multisim full-scale academic year intelligent measurement system. Discuss teams project proposals and schedule case studies, begin forming teams. Preparing for the Lecture “Algorithms for optimizing system performance.” 13 W13 According to Algorithms for optimizing system performance. Exercise session 7: academic year Intelligent system for analyzing arbitrary measurement data in a schedule Jupyter Notebook environment. Initiating Projects. 14 W14 According to Continue exercise session 7: Intelligent system for analyzing academic year arbitrary measurement data in a Jupyter Notebook environment. schedule Preparing for the Lecture “Measurement processing algorithms.” 15 W15 According to Continue exercise session 7: Intelligent system for analyzing academic year arbitrary measurement data in a Jupyter Notebook environment. schedule Finalize projects and teams. 16 W16 According to Exercise session 8: Intelligent system for analyzing arbitrary academic year measurement data in a Jupyter Notebook environment. Executing schedule Projects. Preparing for the Exam. 17 W17 According to Continue exercise session 8: Intelligent system for analyzing academic year arbitrary measurement data in a Jupyter Notebook environment. schedule Work on team deliverables. 18 W18 According to Exam. academic year schedule

Introduction Discipline "Sensors Robotic Systems" is the discipline of the professional cycle. The purpose of teaching is to master student of baseline information relating to the principles of the work unit and the practical application of sensors used in modern robotic systems, knowledge of which largely determines the level of qualification of the future specialist. Course Title Sensors Robotic Systems Course Scope

− Robots. Applications and Development Prospects. Problems of intellectualization robots. − Basic concepts and definitions of "sensor". Active and passive sensors. Sensory-computer systems. Smart sensors. Classification of intelligent sensors. − Mechanical sensors. Classification of mechanical sensors. Mechanical sensors of linear and angular movement. − Expansion and tactile sensors. Accelerometers and gyroscopes. Vibrating and chromatography sensors. Electrochemical sensors. Spectrophotometric sensors.

− Dalnometricheskie sensor (rangefinder). Laser and infrared ranging. Optical triangulation range finding. Ultrasonic ranging. GPS sensors. − Vision systems. (STZ). A mathematical representation of the image. Physical fundamentals of image transformation. Software and hardware image processing. Neural information processing systems in the FTZ. − Holographic vision system. Multifrequency holography in the long wavelength range. computer vision in robotics system. − Practical application of machine vision systems. − Practical application dalnometricheskih sensor (rangefinder). Laser and infrared ranging. Optical triangulation range finding. ultrasonic ranging − Practical application of the sensor of mechanical quantities. The sensors of linear and angular displacements, the linear and angular velocities − Practical application of force sensors quantities − Practical application of the orientation sensors in space .. GPS sensors.

VSTU SRS Course Descriptor

Discipline "Sensors Robotic Systems" based on the study material of the following disciplines: Mathematics (including sections of "integral and differential calculus," "Fundamentals of mathematical analysis", "the theory of functions of a complex variable", "vector analysis and elements of field theory"), Physics (sections "Electricity and Magnetism", "Mechanics of solids, liquids and gases," "Nuclear Physics", "Nuclear Physics" and "geometrical optics and wave"), Information (information on the "hardware and software implementation of information processes", "model solutions of functional and computational problems", "Algorithmic and Programming"). Study Program

Master’s Degree in Instrument Engineering Learning Outcomes

- Modern tools and - Be able to justify the programming choice of effective special technologies; software and hardware; - The theoretical - Be able to to search, foundations of skills in analyze, select and install software development for special software; complex information and - Be able to to perform measurement systems control, diagnostics and restoration of the the

software operability.

Ability to mathematical Skills on usage of -Be able to demonstrate Knowledge on modeling of processes principals and methods basic knowledge in the and objects of electrical classification of modeling of constructing the field of natural science engineering; relevant and mathematical models software; disciplines; research on the basis of types; - Skills on logical - Be able to use the basic standard software; organization and stages laws in the development of developing own The basic properties of any of designing software specialized software for specialized software; model; for information and mathematical modeling of measurement systems; physical processes of Stages of computer electrical engineering;

Nominal Duration

Duration: 2 Semester Cycle: Yearly Starting Term: 3 Semester Workload: 216 Hours Presence (Direct): 80 Hours Credit Points: 6 ECTS Assessment Criteria

EVALUATION: 1. Team project and in-class activities 30 % 2. Individual Presentation 30 % 3. Homework 35 % 4. Exam 5 %

Module Contents

3 semester

Module 1 Robots. Applications and Development Module 2 Basic concepts and definitions of "sensor". Module 3 Mechanical sensors. Module 4 Expansion and tactile sensors Module 5 Dalnometricheskie sensor (rangefinder). Module 6 Vision systems. (STZ). Module 7 Holographic vision system.

4 semester

Module 1 Practical application of machine vision systems. Module 2 Practical application dalnometricheskih sensor (rangefinder). Module 3 Practical application of the sensor of mechanical quantities. Module 4 Practical application of force sensors quantities Module 5 Practical application of the orientation sensors in space .. GPS sensors.

Prerequisite and Conditions

• Some knowledge with mathematics: Basic Statistics, Basic University or Advanced high school. • Basic skills in programing preferably NI LabVIEW.

Before taking this course, you should have already completed following courses:

− Mathematics (including sections of "integral and differential calculus," − "Fundamentals of mathematical analysis", − "the theory of functions of a complex variable", − "vector analysis and elements of field theory"), − Physics (sections "Electricity and Magnetism", "Mechanics of solids, liquids and gases," "Nuclear Physics", "Nuclear Physics" and "geometrical optics and wave"), − Information (information on the "hardware and software implementation of information processes", "model solutions of functional and computational problems", − "Algorithmic and Programming").

Methodology

Lecture, homework, in-class exercises, group discussion, exams will be used to aid in understanding and application of sensors of robotic systems. Assessment Methods

Participation:

Students are expected to actively participate in class by asking questions, working on in-class and exercises, giving presentations as individuals or as part of their team projects, and sharing personal experiences and opinions related to the topics discussed. Students who do not participate up to expectations or miss more than 20 % in-class hours without a pre-approved or written excuse will have their final grades reduced by one grade . Be sure to contact me BEFORE you miss a class, if possible. Let me know about last minute emergencies via phone as soon as you can. Also, please do not use cell phones, laptops, or other devices in class unless you are asked to do so. Be present in class.

Test assignment: In the test at the student is given an individual task (in embodiments), which consists in the calculation of technical characteristics of sensors and metrological predetermined physical quantity on the basis of the task. The work performed in writing within 10 weeks after the issuance of the job. Con-trol deadline - the last month of the semester.

The approximate content of the control and of course work 1. Title page. 2. The wording of the assigned tasks. 3. Main part: 1) Comparative analysis of the set of sensors of physical quantities represented in domestic and foreign markets; 2) rationale for choice of sensor implementation; 3) Performance calculation; 4) calculating metrological characteristics; 5) necessary to meet the scheme objectives, figures drawings, 6) checking the result by matching the assigned tasks; 7) conclusion.

A list of questions for the exam

1. Robots. Applications and Development Prospects. Problems of intellectualization robots. Sensors robotic systems. 2. Basic concepts and definitions of "sensor". Active and passive sensors. Sensory-computer systems. 3. Smart sensors. Classification of intelligent sensors. 4. Mechanical sensors. Classification of mechanical sensors. 5. The sensors of linear and angular movement. 6. Sensors linear and angular velocities. 7. Expansion and tactile sensors. Sensors force, pressure and mechanical stress. 8. Sensors accelerations. Accelerometers and gyroscopes. 9. Vibration sensors. Acoustic sensors. 10. Sensors electric fields. 11. Sensors of magnetic fields. 12. Sensors thermal fields. 13. photometric sensors 14. Chromatographic sensors. 15. Electrochemical sensors. 16. Spectrophotometric sensors. 17. Dalnometricheskie sensor (rangefinder). Laser and infrared ranging. Optical triangulation range finding. 18. Ultrasonic ranging. 19. Orientation in space. Sensors GPS, GLONASS 20. MEMS technology in the manufacture of sensors. 21. Vision systems. (STZ). A mathematical representation of the image. 22. Physical fundamentals of image transformation. 23. Software and hardware image processing. 24. Neural information processing systems in the FTZ. 25. Holographic vision system. Multifrequency holography in the long wavelength range.

List of Questions for credit 1. Using sensors of linear and angular movement. 2. Using sensors of linear and angular velocities. 3. Using strain and tactile sensors. 4. Using sensors force, pressure and mechanical stress. 5. Using acceleration sensors. Accelerometers and gyroscopes. 6. The use of vibration and acoustic sensors. 7. Using the sensors of thermal fields. 8. Using a photometric sensor. 9. Using sensors electric fields. 10. Using the sensors of magnetic fields. 11. Using chromatographic sensors. 12. The use of electrochemical sensors. 13. The use of spectrophotometric sensors. 14. Using dalnometricheskih sensor (rangefinder). Laser and infrared ranging. Optical triangulation range finding.

15. Using dalnometricheskih sensor (rangefinder). Ultrasonic ranging. 16. Orientation in space. Using GPS sensors GLONASS. 17. The use of vision systems. (STZ). A mathematical representation of the image. 18. The use of vision systems. (STZ). Software and hardware image processing.

Teaching language

Russian

Lecturer

TBA

Timetable

No Classroom activities Students' independent work Total № (hour) (hour) (hour)

Semester

Total Total

Labs

Thems Exams

Practice

Planned

Lections

Modules Individual

1 1 2 5 5 12 2 2 4 5 5 14 3 3 2 6 6 14 3 4 4 2 6 6 14 5 5 2 16 6 6 30 6 6 2 5 5 12 7 7 2 5 5 12 Summary 3-d 16 16 38 38 76 semester 1 1 8 3 3 2 2 6 3 3 4 3 3 6 8 4 4 6 4 4 5 6 4 4 Summary 4-d 32 16 18 6 24 semester Total 16 32 32 56 44 100

Course Plan

Lecture 1: Robots. Applications and Development • Topics Prospects. Problems of intellectualization robots.

References Kaliayev, IA Intelligent robots [electronic resource]: a manual / IA Kalyaev VM Lokhin, IM Makarov, SV Manko. - Electron. Dan. - Moscow: Mechanical Engineering, 2007. - 360 p. - Access mode: https://e.lanbook.com/book/769. - Zagli. screen

Lecture 2: Basic concepts and definitions of "sensor". Topics Active and passive sensors. Sensory-computer systems. Smart sensors. Classification of intelligent sensors.

References Vlasov, SM, Boiko VI, Bystrov SV Grigoriev, VV Contactless means the local orientation of robots: [Tutorial] - St. Petersburg ITMO University, 2017, 2018. - 169 p. - copies.http://books.ifmo.ru/book/2096/beskontaktnye_sredstva_lokalnoy_orientacii_robotov:_[u chebnoe_posobie].htm

Lecture 3: Mechanical sensors

Topics

Classification of mechanical sensors. Mechanical sensors of linear and angular movement.

References

Lecture 4: Expansion and tactile sensors

• Topics

Accelerometers and gyroscopes. Vibrating and chromatography sensors. Electrochemical sensors. Spectrophotometric sensors.

References

Petrov SA Micro-measuring systems: Textbook. manual / SA Petrov, AI Nefed'ev; VSTU. - Volgograd: Volgograd State Technical University, 2015. - 112 p.

Lecture 5: Dalnometricheskie sensor

Topics

Laser and infrared ranging. Optical triangulation range finding. Ultrasonic ranging. GPS sensors

References

• Exercise session 1: Laser rangefinder.

• Exercise session 2: Ultrasonic Distance Measurer

• Exercise session 3: Sensors of linear and angular movements

• Exercise session 4: Sensors linear and angular velocities

• Exercise session 5: Sensors power loads, accelerometers. Tactile sensors.

• Exercise session 6: Sensors orientation in space Bibliography and teaching resources

Basic references

Kaliayev, IA Intelligent robots [electronic resource]: a manual / IA Kalyaev VM Lokhin, IM Makarov, SV Manko. - Electron. Dan. - Moscow: Mechanical Engineering, 2007. - 360 p. - Access mode: https://e.lanbook.com/book/769. - Zagli. screen. Vlasov, SM, Boiko VI, Bystrov SV Grigoriev, VV Contactless means the local orientation of robots: [Tutorial] - St. Petersburg ITMO University, 2017, 2018. - 169 p. - copies.http://books.ifmo.ru/book/2096/beskontaktnye_sredstva_lokalnoy_orientacii_robotov:_ [uchebnoe_posobie].htm Tumpel IB, Karpov AA Automatic Speech Recognition: A Tutorial - St. Petersburg: St. Petersburg: ITMO University, 2017, 2017. - 152 p. - copies.http://books.ifmo.ru/book/2068/avtomaticheskoe_raspoznavanie_rechi:uchebnoe_poso bie.htm

Supplementary References

V.N.Vasilev, A.V.Pavlov Optical technology of artificial intelligence. Tutorial. 4th edition, supplemented. In 2 Vols Vol.1 - St Petersburg. SPb: ITMO University, 2017, 2017. - 80 p. - copies.http://books.ifmo.ru/book/2022/opticheskie_tehnologii_iskusstvennogo_intellekta._uch ebnoe_posobie._izdanie_4-e,_dopolnennoe._v_2-h_t._t.1.htm Podvigalkin, VY Robot in the process module [electronic resource]: monograph / VJ Podvigalkin. - Electron. Dan. - St. Petersburg: Lan, 2018. - 140 p. - Access mode:

https://e.lanbook.com/book/106878. Tropchenko AA, AY Tropchenko Methods for secondary processing and image recognition. Tutorial - St. Petersburg: St. Petersburg: ITMO University, 2015, 2015. - 215 p. - copies.http://books.ifmo.ru/book/1644/metody_vtorichnoy_obrabotki_i_raspoznavaniya_izobr azheniy._uchebnoe_posobie.htm V.N.Vasilev, A.V.Pavlov Optical technology of artificial intelligence. Tutorial. 4th edition, supplemented. In 2 Vols Vol.1 - St Petersburg. SPb: ITMO University, 2017, 2017. - 80 p. - copies.http://books.ifmo.ru/book/2022/opticheskie_tehnologii_iskusstvennogo_intellekta._uch ebnoe_posobie._izdanie_4-e,_dopolnennoe._v_2-h_t._t.1.htm Scheduled Work Plan

3 semester

• W 1: Accelerometers and gyroscopes. Exercise session 1: Vision Systems

• W 2: Vibrating and chromatography sensors.Continue exercise session 1: Vision Systems

• W 3: Electrochemical sensors.Exercise session 2: The use of sensors dalnometricheskih • W 4: Laser and infrared ranging.Continue exercise session 2: The use of sensors dalnometricheskih • W 5: Optical triangulation range finding.Exercise session 2: The use of sensors dalnometricheskih

• W 6: Spectrophotometric sensors.Continue exercise session 3: Algorithms for training recurrent networks

• W 7: Ultrasonic ranging. Exercise session 4: Sensors of mechanical quantities

• W 8: GPS sensors.Continue exercise session 4: Sensors of mechanical quantities

• W 9: A mathematical representation of the image. Exercise session 4: Sensors of mechanical quantities

• W 10: A mathematical representation of the image. Continue exercise session 4: Sensors of mechanical quantities

• W 11: Physical fundamentals of image transformation. Exercise session 6: Sensors of mechanical quantities

• W 12: Software and hardware image processing. Continue exercise session 6: Sensors of linear and angular movements

• W 13: Software and hardware image processing. Exercise session 7: Sensors linear and angular velocities

• W 14: Multifrequency holography in the long wavelength range. Continue exercise session 7: Sensors linear and angular velocities

• W 15: Multifrequency holography in the long wavelength range. Exercise session 8: Sensors orientation in space

• W 16: Computer vision in robotics system.Continue exercise session 8: Sensors orientation in space

• W 17: Computer vision in robotics system..Continue exercise session 8: Sensors orientation in space

• W 18: Exam.

4 semester

• W 1: Machine vision systems.

• W 2: Machine vision systems.

• W 3: Laser and infrared ranging.

• W 4: Laser and infrared ranging.

• W 5: Optical triangulation range finding.

• W 6: Optical triangulation range finding.

• W 7: Ultrasonic ranging

• W 8: Ultrasonic ranging

• W 9: The sensors of linear and angular displacements.

• W 10: The sensors of linear and angular displacements.

• W 11: The sensors of linear and angular velocities.

• W 12: The sensors of linear and angular velocities.

• W 13: Force sensors quantities

• W 14: Force sensors quantities

• W 15: Orientation sensors.Exercise session

• W 16: Orientation sensors.

• W 17: GPS sensors.

• W 18: Exam.

Internet resources

• http://ai-news.ru/ • http://github.com

Software

• NI LabVIEW Necessary Materials in class

TEXT: Kaliayev, IA Intelligent robots [electronic resource]: a manual / IA Kalyaev VM Lokhin, IM Makarov, SV Manko. - Electron. Dan. - Moscow: Mechanical Engineering, 2007. - 360 p. - Access mode: https://e.lanbook.com/book/769. - Zagli. screen.

Scheduling of activities

No Week Dates Activities Notes No 1 W1 According to Accelerometers and gyroscopes. Exercise session 1: Vision Systems academic year schedule

2 W2 According to Vibrating and chromatography sensors.Continue exercise session 1: academic year Vision Systems schedule 3 W3 According to Electrochemical sensors.Exercise session 2: The use of sensors academic year dalnometricheskih schedule 4 W4 According to Laser and infrared ranging.Continue exercise session 2: The use of academic year sensors dalnometricheskih schedule 5 W5 According to Optical triangulation range finding.Exercise session 2: The use of academic year sensors dalnometricheskih schedule 6 W6 According to Spectrophotometric sensors.Continue exercise session 3: Algorithms academic year for training recurrent networks schedule 7 W7 According to Ultrasonic ranging. Exercise session 4: Sensors of mechanical academic year quantities schedule 8 W8 According to GPS sensors.Continue exercise session 4: Sensors of mechanical academic year quantities schedule 9 W9 According to A mathematical representation of the image. Exercise session 4: academic year Sensors of mechanical quantities schedule 10 W10 According to A mathematical representation of the image. Continue exercise academic year session 4: Sensors of mechanical quantities schedule 11 W11 According to Physical fundamentals of image transformation. Exercise session 6: academic year Sensors of mechanical quantities schedule 12 W12 According to Software and hardware image processing. Continue exercise session academic year 6: Sensors of linear and angular movements schedule 13 W13 According to Software and hardware image processing. Exercise session 7: academic year Sensors linear and angular velocities schedule 14 W14 According to Multifrequency holography in the long wavelength range. Continue academic year exercise session 7: Sensors linear and angular velocities schedule 15 W15 According to Multifrequency holography in the long wavelength range. Exercise academic year session 8: Sensors orientation in space schedule 16 W16 According to Computer vision in robotics system.Continue exercise session 8: academic year Sensors orientation in space schedule 17 W17 According to Computer vision in robotics system.Continue exercise session 8: academic year Sensors orientation in space schedule 18 W18 According to Exam. academic year schedule

Introduction

Course Title

Virtual Enterprise

Course Scope Credit Points: 3 ECTS Workload: 108 Hours

Course Code VSTU VE

Course Descriptor

Study Program

Master’s Degree in Instrument Engineering

Learning Outcomes

– Knowledge of – Skills in the use of -Be able to use The ability to participate in the concept of a virtual software for modern design creation of common enterprise and its modeling the methods in creating technological common information information space

on the basis of common information processes of space for virtual virtual enterprises of space; enterprises of the enterprises; the electro – Principles, methods electro engineering – Be able to perform engineering industry and tools for industry; modeling of and the modeling of modeling the – Skills in the technological technological technological development and processes of electro processes of processes of management of engineering industry enterprises in the projects to create enterprises of the enterprises, electro engineering electro engineering common information determine the industry using industry; space for virtual structure and modern means and enterprises; composition of automation systems works on the introduction of software and hardware solutions in the field of creating common information space for virtual enterprises of the electro engineering industry;

Ability to Knowledge on Skills on usage of -Be able to mathematical principals and demonstrate basic modeling of classification of methods of knowledge in the processes and modeling and constructing the field of natural objects of electrical mathematical models software; science disciplines; engineering; types; - Skills on logical - Be able to use the relevant research on organization and basic laws in the the basis of standard The basic properties stages of designing development of software; developing of any model; software for specialized software own specialized Stages of computer information and for mathematical software; measurement modeling of physical modeling, including systems; processes of simulation; electrical - Basic approaches to engineering; modeling. - Be able to plan a computer simulation experiment; - Be able to process and analyze the simulation results; - Be able to apply basic knowledge in the field of natural science disciplines in simulation modeling.

Nominal Duration

Duration: 1 Semester Cycle: Yearly Starting Term: 1st Semester Workload: 108 Hours Presence (Direct): 32 Hours Credit Points: 3 ECTS Assessment Criteria

EVALUATION: 1. Laboratory assignments and in-class activities – 40% 2. Individual presentation – 10% 3. Homework assignments – 20% 4. Final exam – 30%

Assessment criteria for in-class participation:

Assessment criteria for written exam and laboratory assignments:

c. «Satisfactory» (4-5). Generally addresses the task; the format may be inappropriate in places; display little evidence of (depending on the assignment): independent thought and critical judgment include a partial superficial coverage of the key issues, lack critical analysis, may make frequent errors. d. «Fail» (0-2). Fails to demonstrate any appropriate knowledge.

Module Contents

DRAFT MODULE SCHEDULE • Module 1: Circuit modeling with Multisim. o Topics: Multisim graphic interface, connection of parts of the scheme, hierarchical design, components editing, rules for constructing schemes, updating annotation for Ultiboard, database components, mixed analog-digital simulation, expanded model support, irrational, interactive, animated parts of the scheme, measuring probes, microcontroller emulation, interactive component modeling, parallel LabVIEW simulation, filter control, pulsed power sources simulation, loading simulation code from a DLL, Transient Analysis, AC Sweep Analysis, Single Frequency AC Analysis, Fourier Analysis, Pole Zero Analysis, Sensitivity Analysis, Temperature Sweep Analysis, Worst Case Analysis. o Lectures: 8 Hours. o Tutorials: 8 Hours. o Self-directed study: 40 Hours.

• Module 2: Creating virtual devices with Labview. o Topics: Modular programming in Labview. Repetition and loops. Arrays. Clusters. Structures. Strings and File I/O. Plotting data. Data acquisition. IMAQ Vision. Instrument Control. Motion Control. o Lectures: 8 Hours. o Tutorials: 6 Hours. o Self-directed study: 36 Hours.

Prerequisite and Conditions

Below you will find prerequisites for Virtual Enterprise course: a. Physics courses (Electricity and Magnetism). b. Basics of electrical engineering. c. Electronics and circuits.

Methodology

Assessment Methods

Students’ progress will be measured by final exam. The final grade includes 70% of the modular grades (4 modules) and 30% of final exam. The modular grade consists of laboratory assignments, homework assignments, individual presentation and in- class participation (40% of the modular grade). The final exam includes written assignment.

Laboratory Assignments (Exercise sessions): Laboratory assignments contain the background material and preparation necessary for understanding the virtual enterprise concept. Objective one will be to design and build a measurement device (assigned by the instructor) using Multisim, Ultiboard, Labview. Device design documents will be created to guide this objective. An overview of current industry standards of workmanship and safety shall be included. Students’ projects may be undertaken individually or as teams. They may be internal or collaborative with industry. The project may involve developing a specific circuit or a more general exposure in an appropriate industrial environment.

Participation: Students are expected to participate actively in class and online by asking questions, working on in-class and exercises, giving presentations as individuals, and sharing personal experiences and opinions related to the topics discussed. Students who do not participate up to expectations or miss more than x in-class hours without a pre- approved or written excuse will have their final grades reduced by one grade . Be sure to contact me before you miss a class, if possible. Let me know about last minute emergencies via email or phone as soon as you can. Also, please do not use cell

phones, laptops, or other devices in class unless you are asked to do so. Be present in class.

Presentations: Each student will give one individual presentation in class and post it in class online platform. The individual presentation should be a 10-15 minute presentation and include visual aids like PowerPoint slides, access to online resources, or use of other software. Include a reference page/slide at the end of the presentation or on the handout. References must have an author, title, and date. Also note references, such as quotes, statistics, etc. on specific slides/pages. Provide a hard copy to me and make it available electronically by email (or upload course web platform) beforehand. Presentations will be evaluated based on content, delivery, and response. I will determine presentation grades right after you present, and one of your classmates will also provide written feedback. If you change your scheduled presentation date without an approved excuse, your presentation grade will be reduced by 10%. Most individual presentations will be based on the results of your laboratory and homework assignments, such designing and manufacturing your measurement device, supporting all relevant business processes with SAP ERP. Teaching language

English Lecturer

TBA Lab assistant

TBA Timetable

TBA Course Plan

• Lecture 3: Additional analyses methods. o Topics: Transient Analysis, AC Sweep Analysis, Single Frequency AC Analysis, Fourier Analysis, Pole Zero Analysis, Sensitivity Analysis, Temperature Sweep Analysis, Worst Case Analysis. o References: [1] – chapter 1, [2] – chapters 4-14. • Lecture 4: Basic Labview programming concepts and tools. o Topics: Modular programming in Labview. Repetition and loops. Arrays. Clusters. Structures. Strings and File I/O. o References: [4] – chapters 1-8. • Lecture 5: Labview graphical system design technologies for real world applications. o Topics: Plotting data. Data acquisition. IMAQ Vision. Instrument Control. Motion Control. o References: [4] – chapters 9-14.

• Final Exam

Bibliography and teaching resources

Basic References: 1. William D. Stanley, John R. Hackworth, Computer-Aided Circuit Analysis with Multisim (published in 2018). 2. National Instruments Graphical User Interface Ultiboard User Manual. 3. Jovitha Jerome, Virtual Instrumentation Using Labview (published in 2010). 4. Simha R. Magal, Jeffrey B. Word, Business Process Integration with SAP ERP (published in 2013).

Supplementary References:

TBA Internet resources

a. https://www.academia.edu/28766509/Multisim_Basics_Schematic_Capture_and_Sim ulation_Day_1_of_2_Hands-On_Training

b. https://www.ni.com/ru-ru/innovations/white-papers/13/ni-multisim-and-ni-ultiboard- online-training.html

c. https://www.altoo.dk/LN-Course+-+Electronics+10- +PCB+layout+with+NI+Ultiboard.htm

d. http://sine.ni.com/tacs/app/fp/p/ap/ov/lang/ru/pg/1/sn/n8:28/

e. https://www.sap.com/training-certification/free-training.html

f. Other websites and online resources will be recommended. Software

Mandatory use of the following software: a. Multisim (National Instruments)

b. Labview (National Instruments)

Necessary Materials in class

Course WEB SITE: Most course info is in Course Site.

TEXT:

Lecture slides and other information will be available in the course site for this class. You are welcome to read other books as long as you follow course topics. I encourage you to share name of books, sites that might be helpful to your learning.

Kazan National Research Technical University named after A. N. Tupolev - KAI

COURSES SYLLABUS FOR INSPIRE MASTER PROGRAM

Measurements and Testing of Electrical Complexes - 6 ECTS Measurements of Electronic Components and Electronic Systems- 4 ECTS Quality Control in Instrumental Engineering - 3 ECTS Virtual Enterprise-3 ECTS

Introduction The Module is a part of 2-year Master degree program in the field of Electrical Engineering “Measurement and Testing of Electrоtechnical Complex” which is implemented at Kazan National Research Technical University named after A.N. Tupolev-KAI, Institute of Electronic Automation and Instrument-Making, Department of Electrical Equipment. The module is aimed to the mastering theoretical knowledge and practical skills in the area of measurement, control and testing of Electrotechnical complexes, including electrotechnical devices, drives, instruments.

Course Title Measurements and Testing of Electrical Complexes

Course Scope The Module included in the Master degree program “Measurement and Testing of Electrоtechnical Complex” as an elective module.

Course Code B1.E.AE.04.02

Course Descriptor Elective Module, Module of Specialization

Study Program Master’s Degree in Electrical Engineering

Learning Outcomes

Specific Learning outcomes competence Ability to formulate Knowledge Skills Ability engineering tasks, - Basic concepts of - skills of experimental - Use testing and develop and use measurements; obtaining of static and measuring equipment; automation tools in - Methods and dynamic characteristics - Develop measuring the design and devices for electrical of the investigated schemes technological measurements; objects for subsequent - Select the measuring preparation of - Engineering use in the electrical means on the production techniques for installations reference books basis electrical management; and measure the measurements - skills in the use of physical quantities - Design features of hardware and software to with the specified devices for electrical automate scientific accuracy; measurements ; research; - Observe safety - skills in the processing measures when and analysis of measuring information

- methods of modeling and adjusting of information and measuring systems

Nominal Duration Duration: 1 (one) Semester Cycle: Yearly Starting term: Fall semester Workload: 216 Hours Contact Work (Presence): 90 Hours Independent Work: 126 Hours Credit points: 6 ECTS

Assessment Criteria EVALUATION: 1. Attestation 1, week 6 15% 2. Attestation 2, week 12 15% 3. Attestation 3, week 16 15% 4. Exam 1, Week 17 55%

Module Contents: - State system for ensuring the uniformity of measurements - Measuring of electrical current, voltage and power - Measuring of signal waveforms - Devices for the formation of standard measuring signals - Measuring of signals’ parameters - Measuring of amplitude-frequency characteristics - Measuring of components’ parameters with lumped parameters

Prerequisite and Conditions Bachelor in Electrical Engineering or related studies

Methodology Lectures and Practicum Lecture, online activities, homework, in-class exercises, attestations, exams will be used to aid in understanding. Contact hours: 2 hour per week for lectures, 3 hours per week for practicum. Individual work: revision of lectures, performance of practical assignments, preparation for exam

Assessment Methods Homework Assignments: Students will volunteer or be asked to discuss homework due that class period. Late homework will not be accepted. We will use Course Site to upload HW and do some online activities.

Participation: Students are expected to actively participate in class and online by asking questions, working on in-class and exercises, sharing personal experiences and opinions related to the topics discussed.

Attestation: Every 6 weeks of study, students will be offered an independent test or control questions

Honesty: You will receive a 0 on any item if you are dishonest. Be sure to cite references properly and do your own work.

Teaching Language Russian

Lecturer Dr. Andrey V. Ferenets, Electrical Equipment Department Dr. Svetlana A. Piontkovskaya, Electrical Equipment Department

Lab Assistant Not Applicable

Timetable

Classroom No. 317: 2 hour per week for lectures, Classroom No. 407: 3 hours per week for practicum

Course Plan

Lecture 1-3: Types of measurements and measurements error Measurement results processing Lecture 4-6: The choice of measuring instruments by precision Signals of measurement data Attestation 1 Lecture 7-9: The structure and types of information-measuring systems Current and voltage measurements Lecture 10-12: Power and energy measurement Measurement of parameters of passive elements of an electric circuit Attestation 2

Lecture 13-15: Frequency and interval measurements Magnetic quantities measurements Lecture 16-18: Measurement of geometric parameters and position Measurement of mechanical and thermal quantities Attestation 3 Final Exam

Exercise session 1: Input leakage currents and zero bias voltage of operating amplifier Exercise session 2: Gain of operating amplifier Exercise session 3: Common-mode rejection ratio of operating amplifier Exercise session 4: The coefficient of reaction of the operational amplifier supply voltage Exercise session 5: Slew rate of operating amplifier Exercise session 6: Frequency response of operating amplifier Exercise session 7: Transistor input resistance Exercise session 8: Voltage self-feedback index of transistor Exercise session 9: Current transfer ratio of transistor Exercise session 10: Anode conductance of transistor Exercise session 11: Steepness of transistor Exercise session 12: Transistor input characteristics Exercise session 13: Transistor output characteristics

Bibliography and teaching resources Basic References 1. Pustovaya O.A. Electrical Measurements: Study Guide / O. A. Pustovaya. - Rostov-on- Don/D : Fenix, 2010. - 247 p. - (Higher Education) // In Russian 2. Afonsky A.A. Electrical Measurements in Nanotechnologies and Microelectronics: Monography / A. A. Afonsky, V.P. Dyakonov ; Edited by V.P. Dyakonov. - M.: DMK Press, 2011. - 688 p.

Supplementary References 1. . Tkalich, V.L . Obrabotka rezultatov praktivheskikh izmerenij [Processing the results of technical measurements] [Electronic resource] / Tkalich V. L., Labkovskaya R, Ya. , — Saint-Petersburg: NRU ITMO, 2011. 72 p. Available at:http://e.lanbook.com/book/40867 2. Aniskevich Yu. V. Pribory I metody izmerenija teplotekhnicheskikh velichin [Devices and methods for measuring heat engineering quantities] [Electronic resource] / Saint Petersburg, : BSTU "Voenmech"n.a. D. F. Ustinov, 2012. 117 p. Available at: http://e.lanbook.com/book/63681 3. Korotaev V. V. Videoinformatcionnye izmeritelnye sistemy. [Video information measuring systems] [Electronic resource] / Karataev V. V., Krasnyascikh A. V. , Saint Petersburg, NRU ITMO, 2012. 124 p. Available at: http://e.lanbook.com/book/40824

Scheduled Work Plan

Types of educational activities,

including independent work of students and laboriousness (in

Topic title hours / interactive hours)

Total hours Total

lectures practices work ind. Types of measurements and measurements error 21 3 6 12 Measurement results processing 21 3 6 12 The choice of measuring instruments by precision 21 3 6 12 Signals of measurement data 13 3 - 10 The structure and types of information-measuring 13 3 - 10 systems Current and voltage measurements 19 3 6 10 Power and energy measurement 19 3 6 10 Measurement of parameters of passive elements of 19 3 6 10 an electric circuit Frequency and interval measurements 19 3 6 10 Magnetic quantities measurements 19 3 3 10 Measurement of geometric parameters and position 19 3 3 10 Measurement of mechanical and thermal quantities 19 3 6 10 TOTAL: 216 36 54 126

Internet Resources https://lanbook.com https://www.rsl.ru

Software • LabView • MS Office or OpenOffice Package

Necessary Materials in Class

Scheduling of Activities Students must strictly observe the instructions to be done by each student during the semester. In instructions specifies the deadlines for the submission of hand-outs and exercises. It is strongly recommended that the students will closely follow this instructions to achieve good results.

Introduction The Module is a part of 2-year Master degree program in the field of Electrical Engineering “Measurement and Testing of Electrоtechnical Complex” which is implemented at Kazan National Research Technical University named after A.N. Tupolev-KAI, Institute of Electronic Automation and Instrument-Making, Department of Electrical Equipment. The module is aimed to the studying of methods, principles and algorithms for making measurements in electronic systems and their components, and also in the course are studied means of automatization as well as use of computer systems for processing results of measurements.

Course Title Measurements of Electronic Components and Systems

Course Scope The Module included in the Master degree program “Measurement and Testing of Electrоtechnical Complex” as an elective module.

Course Code B1.E.AE.02.02

Course Descriptor Elective Module, Module of Specialization

Study Program Master’s Degree in Electrical Engineering

Learning Outcomes

Specific Learning outcomes competence Ability to choose Knowledge Skills Ability serial objects and to - Methods of - Skills in the - Process and analyze design new objects organizing and processing and the results of from the area of conducting analysis of measurements professional activity measurements, information - Plan experimental - Principles of - Methods of measurements construction and modeling and - Perform a model organization of adjusting of computer experiment, functioning of information and obtain and process intelligent measuring measuring systems experimental data systems - Computer systems - Bases of intelligent for modeling and measuring systems designing of design,; instrument-making equipment

Nominal Duration Duration: 1 (one) Semester Cycle: Yearly Starting term: Spring semester Workload: 144 Hours Contact Work (Presence): 50 Hours Independent Work: 94 Hours Credit points: 4 ECTS

Assessment Criteria EVALUATION: 1. Attestation 1, week 4 15% 2. Attestation 2, week 7 15% 3. Attestation 3, week 10 15% 4. Exam 1, Week 10 55%

Module Contents:

Intellectualization of measurement information Principles of constructing and organizing the functioning of intelligent measuring instruments Algorithmic support of intelligent measuring instruments Metrological provision of intelligent measuring instruments Intelligent measuring instruments in the composition of electro-technical complexes and systems

Prerequisite and Conditions Bachelor in Electrical Engineering or related studies

Participation:

Students are expected to actively participate in class and online by asking questions, working on in-class and exercises, sharing personal experiences and opinions related to the topics discussed.

Attestation: Every 6 weeks of study, students will be offered an independent test or control questions

Honesty: You will receive a 0 on any item if you are dishonest. Be sure to cite references properly and do your own work.

Teaching Language English or Russian

Lecturer Dr. Evgenii Yu. Fedorov, Electrical Equipment Department

Lab Assistant Rustem A. Nizamov, Electrical Equipment Department

Timetable

Classroom No. 317: 2 hour per week for lectures, Classroom No. 407: 3 hours per week for practicum

Course Plan

Lecture 1-5: The problem of intellectual measurements, Algorithmic support of intelligent tools measurements Attestation 1 Lecture 6-7: The hard-copy part of the intellectual of measuring Attestation 2 Lecture 8-10: Features of the program of intelligent systems Attestation 3 Final Exam

Exercise session 1: The least significant bit, and full-scale range (ADC) Exercise session 2: Dynamic range, free from harmonics (SFDR) (ADC) Exercise session 3: S/N ratio and distortion (SINAD) (ADC) Exercise session 4: Signal/noise ratio (SNR) (ADC) Exercise session 5: The input quiescent current and the input resistance (ADC) Exercise session 6: Power Consumption (ADC) Exercise session 7: The least significant bit, and full-scale range (DAC) Exercise session 8: Dynamic range, free from harmonics (SFDR) (DAC) Exercise session 9: S/N ratio and distortion (SINAD) (DAC) Exercise session 10: Signal / noise ratio (SNR) (DAC) Exercise session 11: Power consumption (DAC)

Bibliography and teaching resources

Basic References Glukhikh I.N. Intelligent Information Systems: Study Guide/ I. N. Glukhikh; Russian Federation, Ministry of Education and Science, Tyumen State University. - M. : Academia, 2010. - 112 p. Rannev G.G. Intelligent Measuring Instruments: Textbook for HIE’s. - M.: Academia, 2011. – 263 p. Supplementary References 1. Lutcenko E. V. Intellektualnye informatcionnye sistemy: uchebnoe posobie dlya studentov spetcialnosti “prikladnaya informatika (po otraslyam)” [Intelligent Information Systems: a textbook for students of the specialty "Applied Informatics (by industry)]/ Krasnodar, KubSAU, 2004. 633 p.. 2. Romanov V. P. Intellektualnye informatcionnye sistemy v ekonomike . [Intelligent information systems in the economy] . Moscow, “Ekzamen” publ., 2003. 496 p. 3.Gavrilov A. V. Sistemy iskustvennogo intellekta [Artificial Intelligence Systems]. Novosibirsk. NSTU, 2004. 59 p. 4. Intellektualnue informatcionnye sistemy: programma discipiny dlya studentov spetcialnosti “prikladnaya informatikav ekonomike” [Intelligent information systems: discipline program for students of the specialty “Applied Informatics in Economics]. Stavropol, : SF MSGU n.a. M. A. Sholokhov, 2008. 22 p. 5. Pospelov D. A. Iskustvennyi intellect [Artificial Intelligence]. – Book 2 of 3. Models and methods: guidelines. Мoscow, Radio I svyaz,1990. – 304 p.

Scheduled Work Plan

Types of educational activities,

including independent work of students and laboriousness (in

Topic Title hours / interactive hours)

Total hours Total

lectures practices Work ind. The problem of intellectual measurements 37 5 8 24 Algorithmic support of intelligent tools 37 5 8 24 measurements The hard-copy part of the intellectual of measuring 37 5 8 24 Features of the program of intelligent systems 33 5 6 22 TOTAL: 144 20 30 94

Internet Resources https://lanbook.com https://www.rsl.ru

Software • LabView • MS Office or OpenOffice Package

Necessary Materials in Class

Scheduling of Activities

Students must strictly observe the instructions to be done by each student during the semester. In instructions specifies the deadlines for the submission of hand-outs and exercises. It is strongly recommended that the students will closely follow this instructions to achieve good results. If the lecturer needs to modify any planned activity, students will be warned sufficiently in advance.

Introduction The Module is a part of 2-year Master degree program in the field of Electrical Engineering “Measurement and Testing of Electrоtechnical Complex” which is implemented at Kazan National Research Technical University named after A.N. Tupolev-KAI, Institute of Electronic Automation and Instrument-Making, Department of Electrical Equipment. The module is aimed to the forming theoretical knowledge and practical skills in the area of measurements, testing and quality control in instrument-making.

Course Title Quality Control in Instrumental Engineering

Course Scope The Module included in the Master degree program “Measurement and Testing of Electrоtechnical Complex” as an elective module.

Course Code B1.E.AE.03.02

Course Descriptor Elective Module, Module of Specialization

Study Program Master’s Degree in Electrical Engineering

Learning Outcomes

Specific Learning outcomes competence The ability within a Knowledge Skills Ability multidisciplinary - Methods of Performing, Be able to, within a collaborative organizing and recording and multidisciplinary context, contribute conducting analysing quality collaborative context, to evaluation, measurements, assurance and quality contribute to improvement and - Principles of control activities to evaluation, maintenance of the construction and include: legislation, improvement and quality of organization of regulations and maintenance of the professional functioning of guidelines, test quality of professional practice; draft intelligent measuring equipment and practice; standards, systems methodologies, Be able to contribute methodological and - Bases of intelligent programme design to the content-related regulatory materials, measuring systems and implementation, development and technical design,; and reporting profiling of the documentation and profession by in the practical initiating and implementation of implementing quality

the developed management and projects and innovation processes programs; To monitor compliance with established requirements, existing norms, rules and standards

Nominal Duration Duration: 1 (one) Semester Cycle: Yearly Starting term: Spring semester Workload: 108 Hours Contact Work (Presence): 50 Hours Independent Work: 58 Hours Credit points: 3 ECTS

Assessment Criteria EVALUATION: 1. Attestation 1, week 4 15% 2. Attestation 2, week 7 15% 3. Attestation 3, week 10 15% 4. Exam 1, Week 10 55%

Module Contents: - Metrological support in improving the quality of products; - Measurement methods and techniques; - Measurement errors; - Quality control and testing in instrument-making based on virtual enterprise technology; - Product data management; - Project management of the product life cycle; - Management of product composition; - Management of product conformity and quality; - Documentation management.

Prerequisite and Conditions Bachelor in Electrical Engineering or related studies

Attestation: Every 6 weeks of study, students will be offered an independent test or control questions

Honesty: You will receive a 0 on any item if you are dishonest. Be sure to cite references properly and do your own work.

Teaching Language Russian

Lecturer Dr. Andrey V. Ferenets, Electrical Equipment Department

Lab Assistant Ivan S. Metelev, Electrical Equipment Department

Timetable

Classroom No. 317: 2 hour per week for lectures, Classroom No. 407: 3 hours per week for practicum

Course Plan

Lecture 1: Metrological support in improving the quality of products Lecture 2-3: Measurement methods and techniques Lecture 4: Measurement errors Attestation 1 Lecture 5: Quality control and testing in instrument-making based on virtual enterprise technology Lecture 6: Product data management Lecture 7: Project management of the product life cycle Attestation 2 Lecture 8: Management of product composition Lecture 9: Management of product conformity and quality Lecture 10: Documentation management

Attestation 3 Final Exam

Exercise session 1: Additive and multiplicative errors of analog-to-digital converter Exercise session 2: Integral and differential nonlinearities of analog-to-digital converter Exercise session 3: Total harmonic distortions (THD) of analog-to-digital converter Exercise session 4: Additive and multiplicative errors of digital-to-analog converter Exercise session 5: Integral and differential nonlinearities of digital-to-analog converter Exercise session 6: Total harmonic distortions (THD) of digital-to-analog converter Exercise session 7: Product data management Exercise session 8: Project management of the product life cycle Exercise session 9: Management of product composition Exercise session 10: Management of product conformity and quality Exercise session 11: Documentation management

Bibliography and teaching resources Basic References 1. Dimov Yu.V. Metrology, Standardization and Certification: Textbook for HIE’s / Yu. V. Dimov. – 3rd edition - SPb.: Piter, 2010. - 464 p. Supplementary References 1. Panoryadov V. M. Sertifikatciya [Certification]. Tambov, Tambov state technical university publ., 2008. 96 p. 2. Ponomaryev S. V., Mishenko S . V., Belobragin V. Ya. Upravlenie kachestvon produktcii. Vvedenie v sistemy menedgmenta kazhestva. [Product Quality Management. Introduction to Quality Management Systems]. Moscow, Standarty i kachestvo publ., 2004. 248 p. 3. Michenko S. V., Ponomaryev S. V., ponomaryeva E. S., Evlakhin R. N., Mozgova G. V. Istoriya metrologii, standartizatsii, sertifikatsii i upravleniya kachestvom. [History of metrology, standardization, certification and quality management]. Tambov, Tambov state technical university publ., 2003. 94 p. 4. Yablonskiy O.P., Ivanova V. A. Osnovy standartizatsii, metrologii, sertifikatsii/ [Fundamentals of standardization, metrology, certification]/ Rostov-on-Don, Fenix publ.,2004. 448 p.

Scheduled Work Plan

Types of educational activities,

including independent work of students and laboriousness (in

Topic title hours / interactive hours)

Total hours Total

lectures practices work ind. Metrological support in improving the quality of 6 2 2 2 products

Measurement methods and techniques 12 4 4 4 Measurement errors 8 2 2 4 Quality control and testing in instrument-making 8 2 2 4 based on virtual enterprise technology Product data management 14 2 4 8 Project management of the product life cycle 14 2 4 8 Management of product composition 14 2 4 8 Management of product conformity and quality 14 2 4 8 Documentation management 14 2 4 8 TOTAL: 108 20 30 58

Internet Resources https://lanbook.com https://www.rsl.ru

Software • LabView • MS Office or OpenOffice Package • Siemens Teamcenter

Necessary Materials in Class

Scheduling of Activities

Introduction The Module is a part of 2-year Master degree program in the field of Electrical Engineering “Measurement and Testing of Electrоtechnical Complex” which is implemented at Kazan National Research Technical University named after A.N. Tupolev-KAI, Institute of Electronic Automation and Instrument-Making, Department of Electrical Equipment. The module is aimed at acquirement basic knowledge and competences of simulating electrical and electronic circuits and systems with Multisim, implementing into a design of an entire system with Labview and Siemens Teamcenter.

Course Title Virtual Enterprise

Course Scope The Module included in the Master degree program “Measurement and Testing of Electrоtechnical Complex” as an elective module.

Course Code FTD.V.02

Course Descriptor Elective Module,

Study Program Master’s Degree in Electrical Engineering

Learning Outcomes

Specific Learning outcomes competence Ability to develop Knowledge Skills Ability and use automation - goals and means of Skills on usage of Be able to apply tools in the design existing technological modern packages of methods of designing and technological processes automation applied programs on electronic means and preparation of and their use in the various aspects of the technological production design of new efficient project activity; processes of their technological - skills in the use of production in processes; automated accordance with the - methodological and equipment and requirements of the normative materials on automation facilities technical assignment; the design of in the improvement -Be able to apply electronic means and of technological standards for the technologies for their processes, in the design and technology production; implementation of of electronic media; - methods of design measures for the - Be able to apply and technological effective use of computer-aided design design of electronic automation systems; devices; equipment

- modern systems of - Be able to apply computer-aided design standard technological of electronic means; processes for the - modern manufacture of technological electronic means processes for the electronic means production;

Nominal Duration Duration: 1 (one) Semester Cycle: Yearly Starting term: Fall semester Workload: 108 Hours Contact Work (Presence): 90 Hours Independent Work:18 Hours Credit points: 3 ECTS

Assessment Criteria EVALUATION: 1. Attestation 1, week 6 15% 2. Attestation 2, week 12 15% 3. Attestation 3, week 16 15% 4. Exam 1, Week 17 55%

Module Contents: • Module 1: Circuit modeling with Multisim. • Module 2: Designing a printed circuit board. • Module 3: Creating virtual devices with Labview. • Module 4: Virtual enterprise key business processes with Siemens Teamcenter.

Prerequisite and Conditions Bachelor in Electrical Engineering or related studies

Assessment Methods Homework Assignments:

Students will volunteer or be asked to discuss homework due that class period. Late homework will not be accepted. We will use Course Site to upload HW and do some online activities.

Attestation: Every 6 weeks of study, students will be offered an independent test or control questions

Honesty: You will receive a 0 on any item if you are dishonest. Be sure to cite references properly and do your own work.

Teaching Language Russian

Lecturer Dr. Andrey V. Ferenets, Electrical Equipment Department

Lab Assistant Not Applicable

Timetable

Classroom No. 403: 2 hour per week for lectures, Classroom No. 403: 3 hours per week for practicum

Course Plan

• Lecture 1: Creating a circuit model with Multisim. o Topics: Multisim graphic interface, connection of parts of the scheme, hierarchical design, components editing, rules for constructing schemes, updating annotation, database components. o References: [1] – chapter 1, [2] – chapter 1. • Lecture 2: Multisim simulation possibilities. o Topics: mixed analog-digital simulation, expanded model sup-port, irrational, interactive, animated parts of the scheme, measuring probes, microcontroller emulation, interactive component modeling, parallel LabVIEW simulation, filter control, pulsed power sources simulation, loading simulation code from a DLL. o References: [1] – chapter 1, [2] – chapters 1-3. • Lecture 3: Additional analyses methods. o Topics: Transient Analysis, AC Sweep Analysis, Single Frequency AC Analysis, Fourier Analysis, Pole Zero Analysis, Sensitivity Analysis, Temperature Sweep Analysis, Worst Case Analysis. o References: [1] – chapter 1, [2] – chapters 4-14.

• Lecture 4: Introduction to a printed circuit design with Altium Designer. o Topics: Beginning and setting up a printed circuit design. Working with circuit parts. Working with Traces and Copper. o References: [3] – chapters 1-7. • Lecture 5: Further printed circuit designing actions. o Topics: Autorouting and Autoreplacement in Altium Designer. Preparing for manufacturing. Viewing designs in 3D. Using mechanical CAD. o References: [3] – chapters 8-10. • Lecture 6: Basic Labview programming concepts and tools. o Topics: Modular programming in Labview. Repetition and loops. Arrays. Clusters. Structures. Strings and File I/O. o References: [4] – chapters 1-8. • Lecture 7: Labview graphical system design technologies for real world applications. o Topics: Plotting data. Data acquisition. IMAQ Vision. Instrument Control. Motion Control. o References: [4] – chapters 9-14. • Lecture 8: Siemens Teamcenter for virtual enterprise. o Topics: Materials Management with Siemens Teamcenter, Production Planning and Execution with Siemens Teamcenter, Sales and Distribution with Siemens Teamcenter. o Reference: [1] – chapter 2, [5] – chapters 4, 6-7.

• Final Exam

• Exercise session 1: Analog devices scheme modeling with Multisim. • Exercise session 2: Digital devices scheme modeling with Multisim. • Exercise session 3: Analog-to-digital scheme modeling with Multisim. • Exercise session 4: Designing a printed circuit board with Altium Designer. • Exercise session 5: Labview simulation for digital elements of a measurement information system. • Exercise session 6: Labview simulation for the control unit of a measurement information system. • Exercise session 7: Realizing steps of Materials Management process, Production Planning and Execution process in Siemens Teamcenter. • Exercise session 8: Realizing steps of Sales and Distribution process in Siemens Teamcenter.

Bibliography and teaching resources Basic References 1. R.K. Litvyak, D.V. Shaikhutdinov, N.I. Gorbatenko, Modern Technologies for Virtual Enterprise (published in 2019). 2. William D. Stanley, John R. Hackworth, Computer-Aided Circuit Analysis with Multisim (published in 2018). 3. Jovitha Jerome, Virtual Instrumentation Using Labview (published in 2010). 4. Khayrullina G.S., Fedorov E.Yu. Automated PCB design with AltiumDesigner. Textbook- methodical manual. - Kazan: Publishing House of KNITU-KAI, 2017.-123s

Supplementary References 1. James W. Nilsson, Susan Riedel, Introduction to Multisim for Electric Circuits (published in 2018).

2. John Essick, Hands-On Introduction to LabVIEW for Scientists and Engineers (published in 2018).

Scheduled Work Plan

Types of educational activities,

including independent work of students and laboriousness (in

Topic title hours / interactive hours)

Total hours Total

lectures practices work ind. Creating a circuit model with Multisim 21 4 6 2 Multisim simulation possibilities 21 4 6 2 Additional analyses methods 21 4 6 2 Introduction to a printed circuit design 13 4 7 2 Further printed circuit designing actions 13 5 7 2 Basic Labview programming concepts and tools 19 5 7 2 Labview graphical system design technologies for 19 5 7 2 real world applications Siemens Teamcenter for virtual enterprise 19 5 8 4 TOTAL: 108 36 54 18

Internet Resources https://lanbook.com https://www.rsl.ru

Software • Multisim (National Instruments) • Altium Designer • Labview (National Instruments) • Siemens Teamcenter. • Necessary Materials in Class Course WEB SITE: Most course info is in Course Site. Lecture slides and other information will be available in the course site for this class. You are welcome to read other books as long as you follow course topics Scheduling of Activities Students must strictly observe the instructions to be done by each student during the semester. In instructions specifies the deadlines for the submission of hand-outs and exercises. It is strongly recommended that the students will closely follow this instructions to achieve good results. If the lecturer needs to modify any planned activity, students will be warned sufficiently in advance

Voronezh State University

COURSES SYLLABUS FOR INSPIRE MASTER PROGRAM

Electromagnetic compatibility-4 ECTS Electrical Automation- 3 ECTS Measurements and Test of Electrical Machines and Systems -2 ECTS Virtual enterprise-2 ECTS

Introduction Electromagnetic compatibility (EMC) is the ability of electrical equipment and systems to function acceptably in their electromagnetic environment, by limiting the unintentional generation, propagation and reception of electromagnetic energy which may cause unwanted effects such as electromagnetic interference (EMI) or even physical damage in operational equipment. The term EMC has gained much attention because of the increase of electrical and electronic equipment and mobile devices in our environments. If designers take EMC into account from the beginning, it can be possible to reduce cost and provide fast production over the long term. An EMC course gives students an opportunity to become exposed to EMC concepts and ability to design products which are more reliable. This coarse includes technical knowledge and practical experience to solve EMC problems in industry. Course Title Electromagnetic compatibility Course Scope

The aim of the course is to teach the theoretical and practical foundations of the theory of electromagnetic compatibility of various electronic devices. The objective of the course is to prepare students for applying the knowledge gained to simulate the operation of electronic devices in various signal-jamming situations.

After completing the course, the student must have competencies that will allow him to assess possible problems associated with the electromagnetic compatibility of electronic devices in accordance with their characteristics and functionality, and also offer solutions. Course Code B1.V.OD.1 Course Descriptor As the number of electronic devices continue to increase the need for effective electromagnetic compatibility (EMC) design has become more critical than ever. This coarse covers topics: the structure of a radio receiver, pre-amplification and frequency selectivity, the concept of sensitivity, adjacent channels, the concept of blocking, basic of the theory of electromagnetic compatibility of a low-noise amplifier, electromagnetic compatibility parameters and characteristics of a low-noise amplifier, equations of a transmission line, specific parameters of a transmission line, shielding, interference immunity.

Study Program Master’s Degree in Radiophysics Learning Outcomes The student who successfully completes this course:

1. Understands the basics of electromagnetic compatibility of electronic devices; 2. Understands the parameters of electromagnetic interference and the electromagnetic environment; 3. Describes the effects of interference for a specific electromagnetic environment; 4. Applies the basic methods and methods of ensuring electromagnetic compatibility; 5. Understands methods to mitigate the negative impact of electromagnetic interference on electronics; 6. Explains the mechanisms for electromagnetic interference generation 7. Determines the possible source of interference for a specific electromagnetic environment; 8. Carries out simulation of electronic devices performance for various scenarios of electromagnetic environment; 9. Proposes solutions to improve the electromagnetic compatibility of the designed system based on technical and economic factors

Nominal Duration Duration: 1 Semester Cycle: Yearly Starting Term: 1 Semester Workload: 144 Hours Presence (Direct): 38 Hours Credit 4 ECTS Assessment Criteria EVALUATION:

1. Team project and in-class activities 30% 2. Individual Presentation 10% 3. Homework 30% 4. Exam 1, Week 1-4 15% 5. Exam 2, Week 5-9 15%

Module Contents

- The structure and characteristics of a radio receiver - Adjacent channels of a radio receiver. - Theory of electromagnetic compatibility of a low-noise amplifier - Multiconductor transmission lines and crosstalk

Prerequisite and Conditions Students must successfully complete such disciplines as “Mathematical analysis”, “Basics of electrodynamics” and “Basics of Electronics” to study the coarse "Electromagnetic compatibility". Also they know high-level numerically oriented programming language and be able to use it in numerical computing software environment. Students must be able to work with modern CAD systems to conduct circuit analysis. Methodology Lecture, online activities, homework, in-class exercises, group discussion, presentations, exams, and team projects will be used to aid in understanding and application of project management. Assessment Methods Attendance of lectures and workshops and regular work with lecture notes and literature are required for the course.

The lectures cover all educational material of the EMC course. At lectures, the student is required not only attention, but also lecture notes writing. It is recommended to write down not every word of the lecturer, but try to write down the main idea, using understandable abbreviations. After the lecture, students should review the notes to determine the material that causes difficulties for understanding. After this, they should turn to the literature recommended in this program for the purpose of an in-depth study of a unclear issue. In general, working with only one literary source is often insufficient for a complete understanding, therefore it is necessary to search information at several sources. If problems with understanding remain, it is necessary to contact the lector at the next lecture with the questions. For successful mastery of the lecture course, it is recommended to repeat the material studied regularly.

Workshops classes allow a student to learn how to apply the theoretical knowledge gained in a lecture in solving specific problems. It is necessary to have a look at the lecture on the relevant topic and read the corresponding section of the literature. During workshops work, it is necessary to pay attention to the features of the studied devices. Preparation for the defense of works should include the repetition of lecture material and work with the proposed educational literature. The list of control questions for the defense is given in the guidelines for laboratory work.

The independent work of a student develops to the deep understanding of the material and the development of self-education skills. Independent work involves the following components:

• work with texts: textbooks, reference books, additional literature, as well as the study of lecture notes;

• participation in student scientific conferences and competition;

• preparation for the quiz and exam.

In addition to the literature from the main list, it is recommended for a student to use sources from the list of supplementary references. It’s more effective to work with the textbook not after, but

before the lecture. It is recommended to use the Internet to obtain additional information on the course topics. Teaching language English Lecturer TBA Lab assistant TBA Timetable TBA

Course Plan

• Lecture 1: Introduction of electromagnetic compatibility o Agenda: Learn the coarse structure and learn main notions of electromagnetic compatibility o Topics: sources of interference, classification of interference sources by frequency spectrum o References: Paul R. Clayton: Introduction to Electromagnetic Compatibility / Paul R. Clayton, 2nd edition. — Wiley-Interscience, 2006. — 1016 p. • Lecture 2: The structure of a radio receiver o Agenda: Studying the operating principle of the radio receiver and its block- diagram o Topics: preselector, mixer, amplifier and detector principle of operation. o References: Joy Laskar: Modern Receiver Front-Ends Systems, Circuits and Integration / Joy Laskar, Babak Matinpour, Sudipto Chakraborty, John Wiley & Sons, Inc., 2004. – 238p. • Lecture 3: Pre-amplification and frequency selectivity o Agenda: Learn characteristics of the frequency selectivity of the radio o Topics: Characteristics of the input circuit (filter). o References: Richard Chi Hsi Li: RF Circuit Design / Richard Chi Hsi Li, , 2nd edition. — Wiley-Interscience, 2012, - 840p. • Lecture 4: The concept of sensitivity. o Agenda: Learn characteristics of receiver depending on electromagnetic compatibility o Topics: The dynamic range of the radio. o References: Richard Chi Hsi Li: RF Circuit Design / Richard Chi Hsi Li, , 2nd edition. — Wiley-Interscience, 2012, - 840p. • Lecture 5: Adjacent channels

o Agenda: Studying the appearance mechanism of the adjacent channels of recieption o Topics: Secondary channel, specular channel, out-of-band channels and intermodulation o References: M. Vidyasagar: Nonlinear Systems Analysis / M. Vidyasagar, A Simon & Schuster Company Englewood Cliffs, New Jersey, 1993, - 510p. • Lecture 6: The concept of blocking. o Agenda: Studying the concept of blocking and distortion. o Topics: Gain blocking, noise blocking. Cross distortion. Amplitude phase conversion o References: M. Vidyasagar: Nonlinear Systems Analysis / M. Vidyasagar, A Simon & Schuster Company Englewood Cliffs, New Jersey, 1993, - 510p; Richard Chi Hsi Li: RF Circuit Design / Richard Chi Hsi Li, , 2nd edition. — Wiley-Interscience, 2012, - 840p. • Lecture 7: Basic of the theory of electromagnetic compatibility of a low-noise amplifier. Part 1 o Agenda: Learn basic notions and methods of the theory of electromagnetic compatibility of a low-noise amplifier o Topics: Basic notions of the theory of EMC of LNA, basic methods of the theory of EMC of LNA. o References: M. Vidyasagar: Nonlinear Systems Analysis / M. Vidyasagar, A Simon & Schuster Company Englewood Cliffs, New Jersey, 1993, - 510p. • Lecture 8: Electromagnetic compatibility parameters and characteristics of a low-noise amplifier. o Agenda: EMC parameters and characteristics of a low-noise amplifier. o Topics: EMC parameters of a low noise amplifier, EMC characteristics of a low noise amplifier, EMC parameters and characteristics measuring. o References: M. Vidyasagar: Nonlinear Systems Analysis / M. Vidyasagar, A Simon & Schuster Company Englewood Cliffs, New Jersey, 1993, - 510p. • Lecture 9: Equations of a transmission line o Agenda: Learn the equation of the transmission line o Topics: the equation of the uniform long transmission line, twisted pair transmission line o References: Kodali V. P.: Engineering Electromagnetic Compatibility. Principles, Measurements, and Technologies. IEEE Press, Piscataway, 1996, 369 pp. ISBN 0-7803-1117-5. • Lecture 10: Specific parameters of a transmission line o Agenda: Learn primary and secondary parameters of a transmission line o Topics: the primary electrical parameters of twisted pair transmission line, secondary parameters of twisted pair transmission line. o References: Kodali V. P.: Engineering Electromagnetic Compatibility. Principles, Measurements, and Technologies. IEEE Press, Piscataway, 1996, 369 pp. ISBN 0-7803-1117-5. • Lecture 11: Shielding, interference immunity o Agenda: Studying the concept of shielding and features of shield design o Topics: transmission line shielding, features of shield design.

o References: Mills J. P.: Electromagnetic Interference Reduction in Electronic Systems. Prentice Hall Inc., Englewood Cliffs, 1993, 258 pp. ISBN 0-13-463902- 2. • Lecture 12: Techniques of interference mitigation o Agenda: Improving the noise immunity of electronic devices o Topics: Improving the noise immunity of electronic devices by using space- division, frequency-division and amplitude-frequency-division methods o References: Mills J. P.: Electromagnetic Interference Reduction in Electronic Systems. Prentice Hall Inc., Englewood Cliffs, 1993, 258 pp. ISBN 0-13-463902- 2.

• Final Exam

• Exercise session 1: Designing the parts of the radio receiver (low-noise amplifier) in the computer-aided design (CAD) systems. • Exercise session 2: Designing the parts of the radio receiver (frequency converter) in the computer-aided design (CAD) systems. • Exercise session 3: Designing the parts of the radio receiver (selective circuits) in the computer-aided design (CAD) systems. • Exercise session 4: Calculation of the frequency and amplitude characteristics of a low- noise amplifier in computer-aided design systems • Exercise session 5: Calculation of the single-signal and two-signal characteristics of a low-noise amplifier in computer-aided design systems. • Exercise session 6: The measuring of the electromagnetic compatibility parameters and characteristics of electronic devices.

ALL THE CONTENTS FOR EACH LECTURE AND EXERCISE HAS TO BE DELIVERED IN FORM OF POWERPOINT PRESENTATION OR ANY OTHER DIGITAL FORM. Bibliography and teaching resources Basic References

Paul R. Clayton: Introduction to Electromagnetic Compatibility / Paul R. Clayton, 2nd edition. — Wiley-Interscience, 2006. — 1016 p.

Joy Laskar: Modern Receiver Front-Ends Systems, Circuits and Integration / Joy Laskar, Babak Matinpour, Sudipto Chakraborty, John Wiley & Sons, Inc., 2004. – 238p.

M. Vidyasagar: Nonlinear Systems Analysis / M. Vidyasagar, A Simon & Schuster Company Englewood Cliffs, New Jersey, 1993, - 510p.

Richard Chi Hsi Li: RF Circuit Design / Richard Chi Hsi Li, , 2nd edition. — Wiley- Interscience, 2012, - 840p.

Kodali V. P.: Engineering Electromagnetic Compatibility. Principles, Measurements, and Technologies. IEEE Press, Piscataway, 1996, 369 pp. ISBN 0-7803-1117-5.

Mills J. P.: Electromagnetic Interference Reduction in Electronic Systems. Prentice Hall Inc., Englewood Cliffs, 1993, 258 pp. ISBN 0-13-463902-2.

Supplementary References

Harrington R. F.: Field Computation by Moment Methods. IEEE Press, New York 1993, 229 pp. ISBN 0-7803-1014-4.

Weston D. A.: Electromagnetic Compatibility: Principles and Applications. Marcel Dekker, New York, 1991. 676 pp. ISBN 0-8247-8507-x.

Miller E. K., Medyesi-Mitschang L., Newman E. H. (ed.): Computational Electromagnetics. Frequency-domain Method of Moments. IEEE Press, New York 1992, 506 pp. ISBN 0-87942- 276-9. Scheduled Work Plan

• none

Internet resources

• Websites and online resources will be recommended:

On-line course Electromagnetic compatibility, EMC: https://www.youtube.com/playlist?list=PLyqSpQzTE6M8KHvPajlKmZDAPY_K3xb4Q

Software

Requirements

• Scilab or Matlab • AWR Microwave Office • Open Workbench (download free at: http://openworkbench.org) or MS Office or OpenOffice Package

Necessary Materials in class

Projector for presentation, PC for the lector and PC for each student in class. All issues of the course are coved in the textbook. Each student should have a notebook for recording lectures and stationery.

Scheduling of activities

HERE COMES THE DETAILED COURSE SCHEDULE WITH DATES***

# Activity Start date Final date (deadline) 1 Designing the parts of the radio receiver (low-noise 20.09.2019 04.10.2019 amplifier) in the computer-aided design (CAD) systems. 2 Designing the parts of the radio receiver (frequency 11.10.2019 25.10.2019 converter) in the computer-aided design (CAD) systems. 3 Designing the parts of the radio receiver (selective 25.10.2019 08.11.2019 circuits) in the computer-aided design (CAD) systems. 4 Calculation of the frequency and amplitude 15.11.2019 29.11.2019 characteristics of a low-noise amplifier in computer-aided design systems 5 Calculation of the single-signal and two-signal 29.11.2019 13.12.2019 characteristics of a low-noise amplifier in computer-aided design systems. 6 The measuring of the electromagnetic compatibility 13.12.2019 27.12.2019 parameters and characteristics of electronic devices. 7 Final exam 13.01.2020 31.01.2020

Introduction Course covers working with NI LabView software for aiding in automation of different measurements. Course Title Electrical Automation Course Scope Main scope of this course is studying principals of automated experiments in physics, processing gathered data and interpreting results. Also course contains principals of constructing, hardware and software implementation of automated systems for scientific research. This includes systems for collecting and storing data, control of electro-mechanical and electronic devices. Course Code B1.V.OD.8 Course Descriptor For conducting modern experiments and measurements it is crucial to automate process. The objective of tis course is to teach student how to automate measurement using TI LabView software. After completion of this course students must have competences to create LabView programs to automate measurements and to gather and process measured data. Study Program Master’s Degree in Radiophysics Learning Outcomes The student who successfully completes this course: Knowledge: 1. Understand modern means of automation of scientific research; 2. Describe software for automation of scientific research; 3. Understand requirements for special software for information and measurement systems; 4. Describe modern tools and programming technologies. Skills: 5. Demonstrate skills in the use of hardware and software to automate scientific research; 6. Demonstrate skills in developing applications in the LabView environment for use in the automated system of scientific research work; 7. Demonstrate skills in the processing and analysis of information; 8. Demonstrate skills in the use of automated equipment and automation facilities in the improvement of technological processes, in the implementation of measures for the effective use of automation equipment 9. Demonstrate skills of programming systems for solving professional problems. Ability: 10. Have the ability to use hardware and software to automate scientific research;

11. Have the ability to develop the structure and choose the automated system of scientific research hardware; 12. Have the ability to use external information transfer channels for data exchange between computers; 13. Have the ability to use programming languages to solve professional problems; 14. Have the ability to to apply theoretical knowledge, basic and applied information technologies in the field of professional activity for creating software solve applied problems in accordance with the technical task for the development of the information- measuring system.

Nominal Duration Duration: 1 Semester Cycle: Yearly Starting Term: 3 Semester Workload: 108 Hours Presence (Direct): 42 Hours Credit Points: 3 ECTS Assessment Criteria EVALUATION: Exam 100% Module Contents Lectures: 1. Topic 1: Automated measurements fundamentals: main definitions and terms in the field of automated scientific research. Organizing and processing data of physics experiment. 2. Topic 2: Structure and elements of automated systems for scientific research: platforms, module structure and element base of automated systems of scientific research. 3. Topic 3: using LabView. Implementing automated systems for scientific research based on platform with module structure. Practical work: 1. Lab 1: conducting experiment and processing collected data. 2. Lab 2: introduction to LabView software and educational platform. 3. Lab 3: Creating virtual instruments in LabView. 4. Lab 4: Creating automated system for scientific research on modular platform. Prerequisite and Conditions This course belong to professional part of the programm and is mandatory for appling Master`s degree in padiophysics. For studing this course students first should already know radioelectronics, physical foundations of electronics, semiconductor electronics, theoretical foundations of radiotechnics, electrodynamics of UHF and electromagnetic compatibility. Methodology Lecture, lab activities and exams will be used to aid in understanding and application of project management.

Assessment Methods Participation: Students are expected to actively participate in class by asking questions, working on in-class and exercises and sharing personal experiences and opinions related to the topics discussed. Also, please do not use cell phones, laptops, or other devices in class unless you are asked to do so. Be present in class. Labs: Students are expected to complete all assignments and lab activities. Exam: On exam students have 2 questions and are expected to answer at least one of them to pass. Teaching language English/Russian Lecturer TBA Lab assistant TBA Timetable TBA Course Plan DRAFT CLASS SCHEDULE: W1 Course introduction. Topic 1: main definitions and terms in the field of automated scientific research. W2 Topic 1: Organizing and processing data of physics experiment. W3 Topic 2: Platforms of automated systems of scientific research W4 Topic 2: Module structure and element base of automated systems of scientific research W5 Topic 3: Implementing automated systems for scientific research based on platform with module structure. Part 1. W6 Topic 3: Implementing automated systems for scientific research based on platform with module structure. Part 2. W7 Lab 1. W8 Lab 2. W9 Lab 3. Part 1. W10 Lab 3. Part 2. W11 Lab 4. Part 1. W12 Lab 4. Part 2. W13 Final Exam

Bibliography and teaching resources

Basic References 1. Butyrin P.A. Automating physical research and expirements Computer aided measurements and virtual equipment in LabView 7 / P.A. Butyrin — Moscow: DMK Press, 2009 .— 266 с. Supplementary References 1. Kuzmichev D.A. Automating experimental research / D.A. Kuzmichev, I.A. Radkevich, A.D. Smirnov.— Moscow. : Science, 1983 .— 391 с. Internet resources 1. NationalInstruments www.ni.com 2. LabView Portal www.labviewportal.ru 3. NI LabView software www.labview.ru Software Requirements 1. NI LabView 2018 or newer Necessary Materials in class Projector for presentation, PC for the lector and PC for each student in class. All issues of the course are coved in the textbook. Each student should have a notebook for recording lectures and stationery. Scheduling of activities The following table describes the work to be done by each student during the semester. It specifies the deadlines for the submission of hand-outs and exercises. It is strongly recommended that the students will closely follow this plan to achieve good results. If the lecturer needs to modify any planned activity, students will be warned sufficiently in advance. HERE COMES THE DETAILED COURSE SCHEDULE WITH DATES*** Final Date # Activity Start date (deadline) 1 Lab 1: conducting experiment and processing collected data. 21.10.19 04.11.19 2 Lab 2: introduction to LabView software and educational 28.10.19 11.11.19 platform. 3 Lab 3: Creating virtual instruments in LabView. 04.11.19 25.11.19 4 Lab 4: Creating automated system for scientific research on 18.11.19 16.12.19 modular platform. 5 Final exam 13.01.20 31.01.20

Introduction Course covers current measurement standards and methods, automation tools on modern measurement equipment. Course Title Measurements and Test of Electrical Machines and Systems Course Scope Main scope of this coures is knowledge in the field of measuring device parameters, device testing, verification of device complience to worldwide and local standarts, and primary experimental data processing on modern measurings equipment. Course Code B1.V.OD.13 Course Descriptor For conducting modern expirements and measurements it is crucial to automate process. It serves both for speeding up procees and making it more precise and reproducable. This requires to use sophisticated build-in software and write new one for uniqe tasks. The objectie of tis course is to teach student how to automate measurement using both of this instruments. After completion of this course students must have competences to operate modern measurement equipment and write their own software to extend build-in solutions and integrate several pieces of hardware to one complex. Study Program Master’s Degree in Radiophysics Learning Outcomes The student who successfully completes this course: 1. Understand the main sources of scientific and technical information on automated systems of scientific research; 2. Describe modern means of automation of scientific research; 3. Describe software for automation of scientific research; 4. Understand the main technical characteristics of the automated system of scientific research hardware; 5. Understand quality assurance and quality control practices to include: legislation, regulations and guidelines, test equipment and methodologies, program design and implementation and reporting to thus ensure the provision of an effective, safe and efficient service; 6. Describe methods of collecting scientific and technical information; 7. Understand methods of presenting the results of research activities; 8. Understand goals and means of existing technological processes automation and their use in the design of new efficient technological processes;

9. Understand logical organization and stages of designing software for information and measurement systems. 10. Demonstrate skills in the use of hardware and software to automate scientific research; 11. Demonstrate skills in the processing and analysis of information 12. Demonstrate skills in the use of automated equipment and automation facilities in the improvement of technological; 13. Demonstrate processes, in the implementation of measures for the effective use of automation equipment; 14. Demonstrate skills in the development and debugging of software for information and measurement systems; 15. Demonstrate skills of setting and performing experiments using modern software tools and packages. 16. Have the ability to search and analyze scientific and technical information and select the necessary materials; 17. Have the ability to use hardware and software to automate scientific research; 18. Have the ability to develop the structure and choose the automated system of scientific research hardware; 19. Have the ability to work as a personal computer user; 20. Have the ability to use external information transfer channels for data exchange between computers; 21. Have the ability to use programming languages to solve professional problems; 22. Have the ability to apply theoretical knowledge, basic and applied information technologies in the field of professional activity for creating software solve applied problems in accordance with the technical task for the development of the information- measuring system. Nominal Duration Duration: 1 Semester Cycle: Yearly Starting Term: 2 Semester Workload: 72 Hours Presence (Direct): 36 Hours 2 ECTS Assessment Criteria EVALUATION: Exam 100% Module Contents Lectures: 1. Topic 1: Primary measurements. Carrring out primary measurements and primary data processing of data in experiments. Methods of UDF measurements (amplifiers, antennas, communication cables). Primary data processing using embeded software of modern measuring equipment. 2. Topic 2: Automatin tools. Measurements automatins with embedded software of modern measurement equipment. Connecting PC with measurement equipment thru RS232, USB or LAN interfaces. Industrial standards for communicastion with measurement equipment - SCPI, GPIB, VISA. 3. Topic 3: Standards. Current Russian and international standards for measurements and equipment certification. Practical work:

1. Lab 1 Tektronix dpo4102b: Primary data processing, interfaces for data export, equipment management using LAN or USB interfaces. 2. Lab 2 Agilent dca-x 86100d: Primary data processing, interfaces for data export, equipment management using LAN or USB interfaces. 3. Lab 3 Agilent pna-l network analyzer n5230c: Primary data processing, interfaces for data export, equipment management using LAN or USB interfaces. 4. Lab 4 Agilent N9010A EXA Signal Analizer: Primary data processing, interfaces for data export, equipment management using LAN or USB interfaces. 5. Lab 5 Keysight N5172B EXG Primary data processing, interfaces for data export, equipment management using LAN or USB interfaces. 6. Lab 6 Measurement stand: Constructing measurement stand for testing equipment for complience with one of the studied sdandard (Russian or international) and prepearing test report for device testing on this stand. Prerequisite and Conditions For studing this course students first should already know radioelectronics, physical foundations of electronics, semiconductor electronics, theoretical foundations of radiotechnics, electrodynamics of UHF and electromagnetic compatibility. Methodology Lecture, lab activities and exams will be used to aid in understanding and application of project management. Assessment Methods Participation: Students are expected to actively participate in class by asking questions, working on in-class and exercises and sharing personal experiences and opinions related to the topics discussed. Also, please do not use cell phones, laptops, or other devices in class unless you are asked to do so. Be present in class. Labs: Students are expected to complete all assignments and lab activities. Exam: On exam students have 2 questions and are expected to answer at least one of them to pass. Teaching language English/Russian Lecturer TBA Lab assistant TBA Timetable TBA

Course Plan DRAFT CLASS SCHEDULE: W1 Course introduction. Topic 1: Methods of UHF measurements. W2 Topic 1: Primary data processing on measuring equipment. W3 Topic 2: Measurement automation using embedded software of measuring equipment W4 Topic 2: Interfaces for connecting measuring equipment to PC. W5 Topic 3: Russian standards for measurement and equipment certification. W6Topic 3: International standards for measurement and equipment certification. W7 Lab 1. W8 Lab 2. W9 Lab 3. W10 Lab 4. W11 Lab 5. W12 Lab 6. W13 Final Exam

ALL THE CONTENTS FOR EACH LECTURE AND EXERCISE HAS TO BE DELIVERED IN FORM OF POWERPOINT PRESENTATION OR ANY OTHER DIGITAL FORM.

Bibliography and teaching resources Basic References 1. Stroustrup, B. The C++ Programming Language: Addison-Wesley Professional; 4 edition, 2013. - 1376 p. 2. Prata S. C++ Primer Plus Addison-Wesley Professional; 6 edition, 2011. -1440 p. Supplementary References 1. Rannev G.G. Measurement information systems / G.G. Raneev. - Moscow: Academia, 2010. -329 p. Scheduled Work Plan none Internet resources 1. Standard Commands for Programmable Instruments (SCPI): SCPI-99 http://www.ivifoundation.org/docs/scpi-99.pdf 2. VISA Implementation:VPP-4.3: The VISA Library http://www.ivifoundation.org/docs/vpp43_2016-02-26.pdf 3. IO Libraries Suite http://www.keysight.com/en/pd-1985909/io-libraries- suite?cc=US&lc=eng 4. TEKVISA CONNECTIVITY SOFTWARE — V4.1.1 http://www.keysight.com/en/pd- 1985909/io-libraries-suite?cc=US&lc=eng Software Requirements 1. MS Visual Studio 2. Python with pyvisa module

Necessary Materials in class Projector for presentation, PC for the lector and PC for each student in class. A least one piece of all examined hardware. All issues of the course are coved in the textbook. Each student should have a notebook for recording lectures and stationery. Scheduling of activities The following table describes the work to be done by each student during the semester. It specifies the deadlines for the submission of hand-outs and exercises. It is strongly recommended that the students will closely follow this plan to achieve good results. If the lecturer needs to modify any planned activity, students will be warned sufficiently in advance. HERE COMES THE DETAILED COURSE SCHEDULE WITH DATES*** Final Date # Activity Start date (deadline) 1 Lab 1 Tektronix dpo4102b 25.03.19 08.04.19 2 Lab 2 Agilent dca-x 86100d 01.04.19 15.04.19 3 Lab 3 Agilent pna-l network analyzer n5230c 08.04.19 22.04.19 4 Lab 4 Agilent N9010A EXA Signal Analizer 15.04.19 08.05.19 5 Lab 5 Keysight N5172B EXG 22.04.19 17.05.19 6 Lab 6 Measurement stand 29.04.19 27.05.19 7 Final exam 03.06.19 23.06.19

Course Title

Virtual Enterprise

Course Scope

Credit Points: 2 ECTS

Workload: 72 Hours Course Code

B1.V.14

Course Descriptor

This course is aimed at acquirement basic knowledge and competences of simulating electrical and electronic circuits and systems with Multisim, implementing specifications into a design of an entire system with Labview, running key business operations with Bonita ERP.

Study Program

Master’s Degree in in Radiophysics

Learning Outcomes

The student who successfully completes this course: 1. Understands how to create a circuit model with Multisim, how to use Multisim simulation, how to use a graphical system design with Labview, how to be responsible for key business processes with Bonita ERP. 2. Understands and uses the methods and techniques in constructing circuit models, in implementing Circuit Analysis for high frequency signals, in creating virtual instrumentation models, in using various SAP ERP transactions. 3. Describes the various approaches for implementing Transient Analysis with Multisim, AC Sweep Analysis with Multisim, Single Frequency AC Analysis with Multisim, Fourier Analysis with Multisim, Pole Zero Analysis with Multisim, Sensitivity Analysis with Multisim, Labview graphical system designing, Labview methods of modular programming (repetition and loops, arrays, clusters), Labview methods of plotting data, Labview methods of working with structures, strings and file i/o, Labview instrument

control methods and Labview motion control methods, Materials Management with Bonita ERP, interaction between departments with Bonita ERP, . 4. Explains the main tasks involved in designing a device, in effectively performing ERP business functions. 5. Demonstrates knowledge of Multisim, Labview and Bonita ERP terms and techniques such as: possibility of scheme constructing (customizable graphic interface, free placement and connection of parts of the scheme, the formation of the Reports the Netlists; securing communications while moving parts of the scheme, the possibility of simultaneous replacement of several components, components editing, hierarchical design, possibility of streamlining multi-page projects, notations for circuits and comments to the schemes, SPICE 3X5 / XSPICE standards, expanded model support, importing and exporting NI files with measurement data, LabVIEW VI as inputs and sources, microcontroller emulation, MCU Function, interactive component modeling, parallel LabVIEW simulation, master of operational amplifiers, filter control, amplifiers with common emitter emulation, API for automation, loading simulation code from a DLL, the XSpice command line interface); additional methods of analysis; connecting external equipment using the most common interfaces and protocols; remote control of the experiment; generating and process digital signals; implementing a variety of mathematical data processing methods; visualization of data and the results of their processing (including 3D-models); modeling complex systems; storing information in databases and generating reports 6. Applies the virtual enterprise concept by working on a team project or individually. 7. Uses Multisim, Labview or other online/offline collaborative software to make models of electronic circuits and creating virtual devices. 8. Demonstrates good oral presentation skills. 9. Learns to use virtual collaboration tools like Course site and Google sites. 10. Appreciates the importance of this course competences for understanding the basic business processes and effectively performing their functions in the context of subsequent work in enterprises, for focusing on customer needs, for possession of the basic principles of business and economics, including organizational aspect, market knowledge and business communication. 11. Appreciates the knowledge of the National Instruments software (LabVIEW, Multisim) which makes it possible to create virtual devices and allows to maximize the effectiveness of training, without the need to invest significant financial resources into the material component of the educational process, to implement the testing of products using the same National Instruments software (and in the case of original solutions, made in the form of real devices) and skills developed in this class or in other settings.

Nominal Duration

Duration: 1 Semester Cycle: Yearly Starting Term: 1st Semester Workload: 72 Hours Presence (Direct): 24 Hours 2 ECTS

Assessment Criteria

EVALUATION: 1. Laboratory assignments and in-class activities – 40% 2. Individual presentation – 10% 3. Homework assignments – 20% 4. Final exam – 30%

Assessment criteria for in-class participation: a. «Excellent» (5). A critical analysis which demonstrates original thinking and shows strong evidence of preparatory research and broad background knowledge. b. «Good» (4). Shows strong evidence of preparatory research and broad background knowledge. Excellent oral expression. c. «Satisfactory» (3). Satisfactory overall, showing a fair knowledge of the topic, a reasonable standard of expression. Some hesitation in answering follow-up questions and/or gives incomplete or partly irrelevant answers. d. «Fail» (0-2). Limited evidence of relevant knowledge and an attempt to address the topic. Unable to offer relevant information or opinion in answer to follow-up questions.

Assessment criteria for written exam and laboratory assignments: a. «Excellent» (5). Has a clear argument, which addresses the topic and responds effectively to all aspects of the task. Fully satisfies all the requirements of the task; rare minor errors occur. b. «Good» (4). Responds to most aspects of the topic with a clear, explicit argument. Covers the requirements of the task; may produce occasional errors. c. «Satisfactory» (3). Generally addresses the task; the format may be inappropriate in places; display little evidence of (depending on the assignment): independent thought and critical judgment include a partial superficial coverage of the key issues, lack critical analysis, may make frequent errors. d. «Fail» (0-2). Fails to demonstrate any appropriate knowledge.

Module Contents

DRAFT MODULE SCHEDULE

• Module 1: Circuit modeling with Multisim. o Topics: Multisim graphic interface, connection of parts of the scheme, hierarchical design, components editing, rules for constructing schemes, database components, analog simulation, expanded model support, irrational, interactive, animated parts of the scheme, measuring probes, interactive component modeling, parallel LabVIEW simulation, filter control, loading simulation code from a DLL, Transient Analysis, AC Sweep Analysis, Single Frequency AC Analysis, Fourier Analysis, Pole Zero Analysis, Sensitivity Analysis, o Lectures: 6 Hours. o Practical works: 6 Hours.

o Self-directed study: 28 Hours.

• Module 2: Creating virtual devices with Labview. o Topics: Modular programming in Labview. Repetition and loops. Arrays. Clusters. Structures. Strings and File I/O. Plotting data. Data acquisition. IMAQ Vision. Instrument Control. Motion Control. o Lectures: 4 Hours. o Practical works: 4 Hours. o Self-directed study: 10 Hours.

• Module 3: Virtual enterprise key business processes with SAP ERP. o Topics: Materials Management with Bonita ERP, interaction between departments with Bonita ERP. o Lectures: 2 Hours. o Practical works: 2 Hours. o Self-directed study: 10 Hours.

Prerequisite and Conditions

Below you will find prerequisites for Virtual Enterprise course:

a. Physics courses (Electricity and Magnetism). b. Basics of electrical engineering. c. Electronics and circuits. d. Economics.

Methodology

Assessment Methods

Students’ progress will be measured by final exam. The final grade includes 70% of the modular grades (3 modules) and 30% of final exam. The modular grade consists of laboratory assignments, homework assignments, individual presentation and in-class participation (40% of the modular grade). The final exam includes written assignment.

Laboratory Assignments (Exercise sessions): Laboratory assignments contain the background material and preparation necessary for understanding the virtual enterprise concept. Objective one will be to design and build a measurement device (assigned by the instructor) using Multisim, Labview and fulfill all the business processes which are relevant to this main activity via Bonita ERP. Device design documents will be created to guide this objective. An overview of current industry standards of workmanship and safety shall be included. Students’ projects may be undertaken individually or as teams. They may be internal or collaborative with industry. The project may involve developing a specific circuit or a more general exposure in an appropriate industrial environment.

Participation: Students are expected to participate actively in class and online by asking questions, working on in-class and exercises, giving presentations as individuals, and sharing personal experiences and opinions related to the topics discussed. Students who do not participate up to expectations or miss more than x in-class hours without a pre-approved or written excuse will have their final grades reduced by one grade . Be sure to contact me before you miss a class, if possible. Let me know about last minute emergencies via email or phone as soon as you can. Also, please do not use cell phones, laptops, or other devices in class unless you are asked to do so. Be present in class.

Teaching language

English

Lecturer

TBA

Lab assistant

TBA

Timetable

TBA

Course Plan

DRAFT CLASS SCHEDULE

• Lecture 1: Creating a circuit model with Multisim. o Topics: Multisim graphic interface, connection of parts of the scheme, hierarchical design, components editing, rules for constructing schemes, database components. • Lecture 2: Multisim simulation possibilities. o Topics: mixed analog-digital simulation, expanded model support, irrational, interactive, animated parts of the scheme, measuring probes, microcontroller emulation, interactive component modeling, parallel LabVIEW simulation, filter control, pulsed power sources simulation, loading simulation code from a DLL. • Lecture 3: Additional analyses methods. o Topics: Transient Analysis, AC Sweep Analysis, Single Frequency AC Analysis, Fourier Analysis, Pole Zero Analysis, Sensitivity Analysis, Temperature Sweep Analysis, Worst Case Analysis. • Lecture 4: Basic Labview programming concepts and tools. o Topics: Modular programming in Labview. Repetition and loops. Arrays. Clusters. Structures. Strings and File I/O. • Lecture 5: Bonita ERP Basics for virtual enterprise. o Topics: Materials Management with Bonita ERP, Production Planning and Execution with Bonita ERP, Sales and Distribution with Bonita ERP. • Final Exam

• Exercise session 1: Analog devices scheme modeling with Multisim. • Exercise session 2: Labview simulation for digital elements of a measurement information system. • Exercise session 3: Labview simulation for the control unit of a measurement information system. • Exercise session 4: Realizing steps of Materials Management process in Bonita ERP. • Exercise session 5: Realizing steps department interactions in Bonita ERP.

Bibliography and teaching resources

Basic References:

1. William D. Stanley, John R. Hackworth, Computer-Aided Circuit Analysis with Multisim (published in 2018). 2. Jovitha Jerome, Virtual Instrumentation Using Labview (published in 2010).

Supplementary References:

1. James W. Nilsson, Susan Riedel, Introduction to Multisim for Electric Circuits (published in 2018).

2. John Essick, Hands-On Introduction to LabVIEW for Scientists and Engineers (published in 2018).

Scheduled Work Plan

TBA

Internet resources

a. https://www.academia.edu/28766509/Multisim_Basics_Schematic_Capture_and_Sim ulation_Day_1_of_2_Hands-On_Training b. https://documentation.bonitasoft.com/bonita/7.9/ c. Other websites and online resources will be recommended.

Software

Mandatory use of the following software:

a. Multisim (National Instruments) b. Labview (National Instruments)

c. Bonita ERP.

Necessary Materials in class

Course WEB SITE: Most course info is in Course Site. Lecture slides and other information will be available in the course site for this class. You are welcome to read other books as long as you follow course topics. I encourage you to share name of books, sites that might be helpful to your learning. Scheduling of activities

TBA

PERM NATIONAL RESEARCH POLYTECHNIC UNIVERSITY

COURSES SYLLABUS FOR INSPIRE MASTER PROGRAM

Аlternative energy - 3 ECTS Energy management - 3 ECTS Intellectual means and systems in the electric power industry and electrical engineering- 3 ECTS Virtual enterprise-2 ECTS

Introduction This program contains basic information about the structure of the discipline, the types of contact and independent work of students, as well as the resources necessary for its study.

Course Title

Alternative energy

Course Scope 3 ECTS

Course Code B1.DV02.02

Course Descriptor Alternative energy

Study Program Master’s Degree Program “Conceptual design and engineering for energy efficiency”

Learning Outcomes Knowledge • Alternative and renewable energy sources and their role in the formation of the energy sector of the Russian Federation and the world; • The main provisions of the medium-term (until 2020) and long-term (up to 2030) strategies for the development of power energy in the Russian Federation; • The principles of operation and construction of power plants based on non- traditional sources of energy; • Methods of calculating the cost of basic production resources in alternative energy; • Means of automation for the transformation, transmission and consumption of electricity;

• Algorithmic and software support of microprocessor means and systems in electric power industry; Skills • Skills of calculating the parameters of electric power devices and electrical installations of alternative energy; • Skills of determining thecost of the main production resources in the field of non-conventional energy; • Skills in the selection and use of microprocessor automation and software in the transformation, transmission and consumption of electricity; • Skills in applying software to improve energy efficiency in power systems. Ability • Be able to use the knowledge gained in the study of conversion schemes for renewable energy sources into mechanical, electrical and thermal energy; • Be able to justify the adoption of technical solutions for the creation of electric power and electrical equipment of non-conventional power plants; • Be able to formulate technical tasks, select, develop and use microprocessor automation facilities and software to automate the processes of transformation, transmission and consumption of electricity; • Be able to use software to improve energy efficiency in power systems.

Nominal Duration Duration: 1 Semester Cycle: Yearly Starting Term: 3 Semester Workload: 108 Hours Presence (Direct): 45 Hours 3 ECTS

Assessment Criteria Discipline is considered passed if the tests, practice tasks and reports on labs are successfully completed.

Module Contents Module 1. Alternative and renewable energy sources. Environmental aspects of use. Module 2. Ways of converting alternative energy sources into mechanical, thermal and electrical energy. Unconventional power plants. Module 3. Valuation of production resources and prospects for the development of alternative energy.

Prerequisite and Conditions To study the course «Intellectual means and systems in electric power industry and electrical engineering» the student must know the basics of designing electrical and electromechanical systems, must be able to calculate the electrical loads and the necessary power to power consumers.

Methodology Conducting lecture classes in the discipline is based on an active teaching method, in which students are not passive students, but active participants in the lesson, answering the teacher's questions. Questions of the teacher are aimed at activating the processes of assimilation of the material, as well as at developing logical thinking. The teacher pre-schedules a list of questions that stimulate associative thinking and establishing links with previously mastered material. Practical classes are conducted on the basis of the implementation of the action learning method: problem areas are identified, groups are formed. During the practical training, the following goals are pursued: the application of the knowledge of individual disciplines and creative methods to solve problems and make decisions; development of students' teamwork skills, interpersonal communications and the development of leadership skills; fixing the foundations of theoretical knowledge. Conducting laboratory classes is based on an interactive teaching method, in which students interact not only with the teacher, but also with each other. At the same time, student activity in the learning process dominates. The teacher’s place in interactive classes is reduced to the direction of students' activities to achieve the objectives of the lesson. During the training sessions, interactive lectures, analysis of situations and simulation models are used.

4. Horizontal and vertical wind power installations. 5. The concept of a heat pump. 6. The use of mini-and micro-hydroelectric power plants. 7. Principles of energy conversion of biomass burned (direct and with biogas production). 8. Heat accumulation. 9. Production resources: fixed assets, working capital, labor resources of the enterprise. 10. The situation in the Russian Federation and abroad. Competition for renewable energy with traditional hydrocarbon fuels. Energy independence. Direct subsidization of "green" energy. Prospects for the development of alternative energy in Russia and abroad. After completing the laboratory work in the classroom, the student must issue a report on the laboratory work: make the necessary calculations and answer control questions. Participation: Students are expected to actively participate in class by asking questions, working on in-class and exercises, giving presentations as individuals or as part of their team projects, and sharing personal experiences and opinions related to the topics discussed. Students who do not participate up to expectations or miss more than 3 in-class hours without a pre-approved or written excuse will have their final grades reduced by one grade. Control Tests: Control tests at the end of each module are conducted to assess the assimilation of theoretical material for lectures and when studying independently at home.

Teaching language Russian

Lecturer TBA

Lab assistant TBA

Timetable Weeks 1-9: lecture classes – 2 academic hours every two week; practical classes – 2 academic hours every two weeks; laboratory classes – 2 academic hours every two week Weeks 10-18: laboratory classes – 2 academic hours every week.

Course Plan Lecture classes Module 1. Alternative and renewable energy sources. Environmental aspects of use. Lecture 1. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. General information about the use of renewable energy sources. Specific use. Problems and prospects. Place of alternative energy in Russia and the world. • References. [1,3,9] Lecture 2. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Environmental aspects of the use of alternative energy. Environmental aspects of the use of alternative energy sources. • References. [1,2,8]

Module 2. Methods of converting alternative energy sources into mechanical, thermal and electrical energy. Unconventional power plants.

Lecture 3. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Machine and machineless methods of converting solar energy into heat and electrical energy. The main physical effects in the processes of energy conversion of the Sun. Solar power plants on earth and in space. Conversion schemes of solar energy. • References. [2,4,6]

Lecture 4. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Wind power plants, wind turbines. Horizontal and vertical wind turbines. Methods and schemes for converting wind energy into mechanical and electrical energy. Modular wind power plants. • References. [5,7,8] Lecture 5. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Principles of conversion of geothermal energy into thermal and electrical energy. The concept of a heat pump. Binary cycle Trigeneration. • References. [1,6,7] Lecture 6. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Principles of conversion of static and kinetic energy of water into electrical energy. Conversion schemes, basic design solutions. The use of mini and micro hydro power plants. • References. [5,8] Lecture 7. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Principles of energy conversion of combusted biomass (direct and with biogas production). Technological scheme of bioelectric power station. Technological scheme of the gas turbine minipower station.

• References. [2,3,7,8]

Lecture 8. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Capacitive and magnetic drives. Electrochemical batteries and top-livny elements. Inertia energy storage. Pneumatic-air accumulation. Thermal storage. Hydraulic accumulation. • References. [2,4,7]

Module 3. Valuation of production resources and prospects for the development of alternative energy.

Lecture 9. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Production resources: fixed assets, working capital, labor resources of the enterprise. The concept of capital costs (the cost of design work, facility, component equipment, backup units, transportation, installation, etc.). The concept of operating costs (depreciation charges, the cost of electricity, the costs of scheduled preventive repairs, etc.). • References. [2,3] Lecture 10. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. The situation in Russia and abroad. Competition for renewable energy with traditional hydrocarbon fuels. Energy independence. Direct subsidization of "green" energy. Prospects for the development of alternative energy in Russia and abroad.

• References. [3,5,9]

Practical classes Agenda. Students are in the classroom for 90 minutes with a five-minute break. The lecturer shows students how to solve exercises, practical cases and controls students' answers on such tasks. Students need to have a notebook with lecture notes and pen (pencil). • Practical session 1. Calculation of parameters of wind turbines. • Practical session 2. Calculation of the main indicators of heat storage materials. • Practical session 3. Calculation of the main parameters of biogas plants. • Practical session 4. Determination of the main energy parameters of mini hydropower plants. • Practical session 5. Calculation of technical and economic indicators of the use of alternative energy sources. Laboratory classes Agenda. Students are in the laboratory for 90 minutes with a five-minute break. The assistant helps students carry out labs. Students need to have a notebook with lecture notes and pen (pencil). • Laboratory session 1-6. Investigation of the model of a solar power station with a machine energy converter in LABView. • Laboratory session 7-12. Investigation of a wind power station model with a buffer battery and a transistor voltage inverter in LABView.

Bibliography and teaching resources Main references 1. Martyushev D. A. Renewable energy sources: textbook / D. A. Martyushev, P. Y. Ilyushin. - Perm: pnipu Publishing house, 2015. 2. Baranov N. N. Unconventional sources and methods of energy conversion: textbook for universities / N. N. Baranov. Moscow: MEI Publishing house, 2012. 3. Unconventional and renewable energy sources: a textbook / V. V. Denisov [et al.]. - Rostov-on-don: Phoenix, 2015.

Supplementary References 4. Da Rosa Aldo V. Fundamentals of Renewable Energy Processes. 3 edition. – Academic Press, Elsevier, 2013. 908 p. – ISBN: 978-0-12-397219-4. 5. Sibikin Yu.D. Non-traditional and renewable energy sources: a manual for universities / Yu. D. Sibikin, M. Yu. Sibikin. – Moscow: KNORUS, 2010.

6. Alkhasov A.B. Renewable Energy / A. B. Alkhasov; Ed. V.Ye. Fortova. Moscow: Fizmatlit, 2010. 7. Udalov S. N. Renewable energy sources: textbook / S. N. Udalov. Novosibirsk: NSTU Publishing house, 2007. 8. Gogolev E. P., alternative and renewable energy sources : textbook / E. P. Gurulev. - Omsk: publishing house Omstu, 2006. 9. Kazantsev V. p. General energy: textbook / V. p. Kazantsev. - Perm: Publishing house of PSTU, 2009.

Scheduled Work Plan Type of Week Total, classes 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 hours Lecture 2 2 2 2 8 classes Practical 2 2 2 2 8 classes Laboratory 2 2 2 2 2 2 2 2 2 2 2 2 24 classes Tests 2 2 Lab reports 1 2 3 presentation

Internet resources PNRPU Scientific Library – http://elib.pstu.ru Electronic library system – http://e.lanbook.com Electronic library system – http://www.iprbookshop.ru Informational resources – http://www.consultant.ru

Software Name Purpose Windows 10 Operating system Microsoft Office Professional 2007 Office applications Application software National Instruments LABView

Laboratory PC with installed software and Internet access 12 classes

Scheduling of activities Type of Week Total, activities 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 hours Repeating the 1 2 2 2 7 previous and preparing for the next lectures. Preparing for 2 the test. Independent 2 2 2 2 9 solution of practical homework. Preparation 2 2 2 2 2 2 2 2 2 2 2 2 16 for laboratory work and report on them. Preparation 2 4 2 for lab reports presentation

Introduction This program contains basic information about the structure of the discipline, the types of contact and independent work of students, as well as the resources necessary for its study.

Course Title

Energy Management

Course Scope 3 ECTS

Course Code B1.DV04.01

Course Descriptor Energy Management

Study Program Master’s Degree Program “Conceptual design and engineering for energy efficiency”

Learning Outcomes Knowledge • In-depth theoretical and practical knowledge, which are on the front line of science and technology in the field of energy and resource saving; • Methodology for conducting an energy survey of the research facility; • Rules for the development of the energy passport of the research facility; • Methodology for analyzing the energy efficiency of equipment, machines, plants, technological processes of enterprises, organizations, institutions; Skills • Skills in applying energy-saving measures for different industries and housing and communal services; • Skills of carrying out an energy audit of the research facility;

• Skills of developing energy passport of the research object; • Skills in working with the instrument base for conducting energy surveys. Ability • To develop energy-saving measures for various industries and housing and communal services; • To conduct an energy survey of the research facility; • To develop an energy passport for the research facility; • To conduct an analysis of energy efficiency of equipment, machines, installations, technological processes of enterprises, organizations, institutions.

Nominal Duration Duration: 1 Semester Cycle: Yearly Starting Term: 3 Semester Workload: 108 Hours Presence (Direct): 45 Hours 3 ECTS

Assessment Criteria Discipline is considered passed if the tests, practice tasks and reports on labs are successfully completed.

Module Contents Module 1. Approved and prospective measures of the state energy saving policy and the instruments corresponding to them, their purpose, practice of application, criteria and conditions of effectiveness. Propaganda and promotion of energy conservation. Module 2. Energy management systems. Energy service activity. Energy audits (energy audit), preparation and registration of the organization's energy passport. Module 3. Typical energy-saving technologies for buildings and structures. Features of energy saving and energy efficiency in the sphere of housing and communal services.

Prerequisite and Conditions To study the course « Energy Management » the student must know the basics of energy systems, basic of economical theory, must be able to calculate loads of the energy systems and the necessary energy power to consumers.

plan to promote energy conservation at the regional level. Responsibility of executive authorities for the promotion of energy conservation. 3. Examples and effectiveness of the implementation of energy management systems. Experience in implementing energy management procedures in world practice. Organizational energy saving measures. Standards used in the calculations. Financial support for energy service activities. Legal regulation in the field of energy service activities. Practice of application and development of energy service activities, including at enterprises, organizations and institutions of the public sector and utilities. Goals, objectives and benefits of the implementation of energy service contracts. 4. Changes in the system of energy audits: the transition from energy passports to energy declarations. Legal regulation in the field of energy efficiency in lighting systems. 5. Forms of public-private partnership (PPP) in housing and utilities. Thermal insulation, increasing thermal resistance of building envelopes. Modernization of heat and water supply systems. Selection of the optimal tactics of equipping with metering devices by categories of users of energy resources and water. Reasonable choice of device nomenclature. Selection of optimal schemes for organizing energy metering and device operation. 6. Standard projects in the field of energy saving for buildings and structures, their payback. After completing the laboratory work in the classroom, the student must issue a report on the laboratory work: make the necessary calculations and answer control questions. Participation: Students are expected to actively participate in class by asking questions, working on in-class and exercises, giving presentations as individuals or as part of their team projects, and sharing personal experiences and opinions related to the topics discussed. Students who do not participate up to expectations or miss more than 3 in-class hours without a pre-approved or written excuse will have their final grades reduced by one grade.

Control Tests: Control tests at the end of each module are conducted to assess the assimilation of theoretical material for lectures and when studying independently at home.

Teaching language English

Lecturer TBA

Lab assistant TBA

Timetable Weeks 1-9: lecture classes – 2 academic hours every week; practical classes – 2 academic hours every two weeks. Weeks 10-18: laboratory classes – 2 academic hours every week.

Course Plan Lecture classes Module 1. Approved and prospective measures of the state energy saving policy and the instruments corresponding to them, their purpose, practice of application, criteria and conditions of effectiveness. Propaganda and promotion of energy conservation. Lecture 1. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Main provisions of the program on energy saving and energy efficiency. Results of implementation of programs in the field of energy saving and energy efficiency and evaluation of their effectiveness. • References. [3]

Lecture 2. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. State initiatives in the field of promoting energy conservation and improving energy efficiency. • References. [3] Module 2. Energy management systems. Energy service activity. Energy audits (energy audit), preparation and registration of the organization's energy passport. Lecture 3. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. System of energy management and organizational measures of energy saving. Energy service activity. Organization of financing of projects in the field of energy saving of the electrical industry. • References. [3] Lecture 4. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Procedure for conducting an energy survey. Main stages of the energy survey. Transition from energy passports to energy declarations. • References. [2] Module 3. Typical energy-saving technologies for buildings and structures. Features of energy saving and energy efficiency in the sphere of housing and communal services Lecture 5. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil).

• Topics. Extra budgetary investment in energy conservation and modern models of energy efficiency management in housing and communal services. Peculiarities of application of standard and best available and promising energy-saving technologies in various industries and spheres of activity. Saving resources and reducing heat losses. Accounting and regulation of energy and water consumption in the housing and communal services sector. • References. [2] Lecture 6. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Best available energy saving technologies for buildings and structures. • References. [1,4] Practical classes Agenda. Students are in the classroom for 90 minutes with a five-minute break. The lecturer shows students how to solve exercises, practical cases and controls students' answers on such tasks. Students need to have a notebook with lecture notes and pen (pencil). • Practical session 1. Analysis of energy consumption and energy saving of enterprises, organizations, institutions of various industry sectors of the region and the identification of energy losses. • Practical session 2. Improving the energy efficiency of the lighting system. • Practical session 3. Calculation of energy-saving measures for buildings and structures and their payback. • Practical session 4. Building energy consumption models of various industrial facilities. Laboratory classes Agenda. Students are in the laboratory for 90 minutes with a five-minute break. The assistant helps students carry out labs. Students need to have a notebook with lecture notes and pen (pencil). • Laboratory session 1. Measurements of the quality of electrical energy using the instrumentation base for the energy survey.

• Laboratory session 2-3. Thermographic examination of the object using the instrumentation base for the energy survey. • Laboratory session 4. Investigation of the heat and water supply system using the instrumentation base for the energy survey. • Laboratory session 5-6. Building a system for monitoring the parameters of energy consumption based on portable reconfigurable I/O (RIO) device “The National Instruments myRIO-1900”. • Laboratory session 7-8. Building energy consumption models of various industrial facilities using NI LABView software.

Bibliography and teaching resources Main references 1. Protasevich A.M. Energosberezhenie v sistemakh teplogazosnabzheniia ventiliatsii i konditsionirovaniia vozdukha [Energy saving in heat and gas supply, ventilation and air conditioning]. Minsk; Moscow, Novoe znanie INFRA-M Publ., 2012. 286 p. 2. Krylov Yu.A., Karandaev A.S., Medvedev V.N. Energosberezhenie i avtomatizatsiia proizvodstva v teploenergeticheskom khoziaistve goroda CHastotno-reguliruemyi elektroprivod [Energy saving and production automation in the heat and power economy of the city. Frequency-regulated electric drive]. St. Petersburg, Lan Publ., 2013. 176 p. 3. Strelnikov N.A. Energosberezhenie [Energy saving]. Novosibirsk, NGTU Publ., 2011. 175p. Supplementary References 4. Beliaev V.S., Granik Yu.G., Matrosov Yu.A. Energoeffektivnost i teplozashchita zdanii [Energy efficiency and thermal protection of buildings]. Moscow, ASV Publ., 2012. 396.

Scheduled Work Plan Type of Week Total, classes 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 hours Lecture 2 2 2 2 2 2 2 2 16 classes Practical 1 2 2 2 2 9 classes Laboratory 2 2 2 2 2 2 2 2 16 classes Tests 2 2 Lab reports 2 2 presentation

Software Name Purpose Windows 10 Operating system Microsoft Office Professional 2007 Office applications Application software National Instruments LABView

Necessary Materials in class Type of classes Equipment Quantity Lecture classes Projector with screen 1 Notebook or PC 1 Whiteboard with markers 1 Practical classes Projector with screen 1 Notebook or PC 1 Whiteboard with markers 1 PC with installed software and Internet access 12 Laboratory Whiteboard with markers 1 classes PC with installed software and Internet access 12 Portable reconfigurable I/O (RIO) device “The National 3 Instruments myRIO-1900”

Scheduling of activities Type of Week Total, activities 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 hours Repeating the 1 2 2 2 2 2 2 13 previous and preparing for the next lectures. Preparing for 4 4 the test. Independent 2 2 2 2 2 10 work on solution of practical homework. Preparation 2 2 2 2 2 2 2 2 2 18 for laboratory work and report on them. Preparation 4 4 for lab reports presentation

Introduction This program contains basic information about the structure of the discipline, the types of contact and independent work of students, as well as the resources necessary for its study.

Course Title

Intellectual means and systems in electric power industry and electrical engineering

Course Scope 108 Hours / 3 ECTS

Course Code B1.DV04.02

Course Descriptor Intellectual means and systems

Study Program Master’s Degree Program “Conceptual design and engineering for energy efficiency”

Learning Outcomes Knowledge • Principles and methods of constructing the software; • Logical organization and stages of designing software for information and measurement systems; • Technical, operational characteristics and selection criteria for a complex of software tools for information and measurement systems; • Components of software complexes and databases; • Requirements for special software for information and measurement systems; • Modern tools and programming technologies;

• The theoretical foundations of skills in software development for complex information and measurement systems . Skills • Skills in the development and debugging of software for information and measurement systems; • Skills of setting and performing experiments using modern software tools and packages; • Basic skills for solving practical problems in the field of information systems and technologies, the ability to apply applied information technologies. Ability • Be able to apply theoretical knowledge, basic and applied information technologies in the field of professional activity for creating software solve applied problems in accordance with the technical task for the development of the information-measuring system; • Be able to apply the theory of the system approach and mathematical methods in the formalization of processes; • Be able to justify the choice of effective special software and hardware; • Be able to search, analyze, select and install special software; • Be able to perform control, diagnostics and restoration of the software operability.

Nominal Duration Duration: 1 Semester Cycle: Yearly Starting Term: 3 Semester Workload: 108 Hours Presence (Direct): 45 Hours 3 ECTS

Assessment Criteria Discipline is considered passed if the tests, practice tasks and reports on labs are successfully completed.

Module Contents Module 1. Microprocessor-based measuring and control tools in the electric power industry and electrical engineering. Module 2. Intelligent power electrical equipment.

Prerequisite and Conditions To study the course «Intellectual means and systems in electric power industry and electrical engineering» the student must know the basic tools and systems in electric power industry, must be able to create project of electric systems with main tools.

2. The study of the functional, metrological characteristics and software of power quality control systems. 3. Algorithms of digital terminals RPaA as part of a single system. 4. The standard IEC 61850 and power plants of a digital substation are transformers and switching devices. 5. Standards describing protocols implemented in digital measurement and control systems. 6. Overview of SCADA-systems used in the power industry. 7. Industrial Ethernet in WAMS technology. After completing the laboratory work in the classroom, the student must issue a report on the laboratory work: make the necessary calculations and answer control questions. Participation: Students are expected to actively participate in class by asking questions, working on in-class and exercises, giving presentations as individuals or as part of their team projects, and sharing personal experiences and opinions related to the topics discussed. Students who do not participate up to expectations or miss more than 3 in-class hours without a pre-approved or written excuse will have their final grades reduced by one grade. Control Tests: Control tests at the end of each module are conducted to assess the assimilation of theoretical material for lectures and when studying independently at home.

Teaching language Russian

Lecturer TBA

Lab assistant TBA

Timetable Weeks 1-9: lecture classes – 2 academic hours every week; practical classes – 2 academic hours every two weeks. Weeks 10-18: laboratory classes – 2 academic hours every week.

Course Plan Lecture classes Module 1. Microprocessor-based measuring and control tools in the electric power industry and electrical engineering. Lecture 1. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Microprocessor-based measuring instruments: microprocessor- based electricity metering devices; digital current, voltage, temperature, vibration sensors. • References: [1,4] Lecture 2. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Microprocessor-based measuring instruments: digital systems for monitoring power quality, microprocessor-based recorders of emergency events; universal microprocessor uniting blocks. • References: [1,4] Lecture 3. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Microprocessor controls: microprocessor terminals RPaA; digital control reclosers. • References: [5] Lecture 4. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil).

• Topics. Microprocessor controls: modules of a digital electrical substation. • References: [2,3] Module 2. Intelligent power electrical equipment. Lecture 5. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Protocols providing communication of intelligent digital devices and systems in the power industry: MMS, GOOSE, MODBUS, MQTT. • References: [1] Lecture 6-7. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Software tools that implement intelligent functions in microprocessor-based control devices, in electrical equipment, in top- level control systems, at the HMI level in power systems. • References: [3] Lecture 8-9. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Intelligent systems (software and hardware systems) in the power industry: WAMS, ACEMS, CAE. • References: [3] Practical classes Agenda. Students are in the classroom for 90 minutes with a five-minute break. The lecturer shows students how to solve exercises, practical cases and controls students' answers on such tasks. Students need to have a notebook with lecture notes and pen (pencil).

• Practical session 1. Selection of microprocessor-based measuring and control devices for use in electric power industry from the main range of popular manufacturers. • Practical session 2. Study of the principles of operation of digital sensors (current, voltage, temperature, vibration, power quality) and their metrological characteristics. • Practical session 3. The study of the structure, functions, devices of digital terminals of protection and frequency drives. • Practical session 4. Modules of a digital electrical substation in IEC 61850 standard. • Practical session 5. Study of the GOOSE and MQTT protocols. Laboratory classes Agenda. Students are in the laboratory for 90 minutes with a five-minute break. The assistant helps students carry out labs. Students need to have a notebook with lecture notes and pen (pencil). • Laboratory session 1. Comparison of metrological and functional characteristics of digital measuring instruments and analog devices. • Laboratory session 2. Research of opportunities of DAD on an example of measuring complexes of National Instruments. • Laboratory session 3. Calculation of parameters and programming of digital protection terminals and frequency drives. • Laboratory session 4. The choice of design solutions, equipment for modernization of the substation to the digital level. • Laboratory session 5. Programming devices for working with the MQTT protocol. • Laboratory session 6. The implementation of intelligent measurement and control functions in microprocessor devices based on the National Instruments LABView software. • Laboratory session 7.Development of smart devices for power supply systems in the National Instruments LABView software. • Laboratory session 8.Design of power supply systems using CAE packages. • Laboratory session 9. Research of ACEMS of Faculty of Electrical Engineering.

Bibliography and teaching resources Main references 1. I.G. Druziakin Microprocessor-based automation systems for energy systems. / I.G. Druziakin, A.N. Lykov – Perm: PNRPU, 2011. 144 p. 2. G.N. Opoleva Power supply schemes and substations – Moscow. FORUM, 2009. 479 p. Supplementary References 3. N. Hadjsaid Smart Grids / N. Hadjsaid, J. CI. Sabonnadiere - ISTE-John Wiley, 2011. 4. Alan V. Oppenheim Digital Signal Processing / Alan V. Oppenheim, Ronald W. Schafer – Moscow: Tehnosfera, 2012. 784 p. 5. V.I. Gurevich Microprocessor protection relays. Device, problems, prospects – Moscow: Infra-Injeneriya, 2011. 331 p.

Software Name Purpose Windows 10 Operating system Microsoft Office Professional 2007 Office applications Application software National Instruments LABView

Necessary Materials in class Type of classes Equipment Quantity Lecture classes Projector with screen 1 Notebook or PC 1

Whiteboard with markers 1 Practical classes Projector with screen 1 Notebook or PC 1 Whiteboard with markers 1 PC with installed software and Internet access 12 Laboratory Whiteboard with markers 1 classes PC with installed software and Internet access 12 Portable electrical network emergency recorder 1 “TransAURA” Portable reconfigurable I/O (RIO) device “The National 3 Instruments myRIO-1900”

Introduction This program contains basic information about the structure of the discipline, the types of contact and independent work of students, as well as the resources necessary for its study.

Course Title Design of a common information space of virtual enterprises

Course Scope 3 ECTS

Course Code B1.V09

Course Descriptor Virtual enterprises

Study Program Master’s Degree Program “Conceptual design and engineering for energy efficiency”

Learning Outcomes Knowledge • Knowledge of concept of a virtual enterprise and its common information space; • Principles, methods and tools for modeling the technological processes of enterprises of the electro engineering industry. Skills • Skills in the use of software for modeling the technological processes of enterprises of the electro engineering industry; • Skills in the development and management of projects to create common information space for virtual enterprises Ability • Be able to use modern design methods in creating common information space for virtual enterprises;

• Be able to perform modeling of technological processes of electro engineering industry enterprises, determine the structure and composition of works on the introduction of software and hardware solutions in the field of creating common information space for virtual enterprises of the electro engineering industry.

Nominal Duration Duration: 1 Semester Cycle: Yearly Starting Term: 3 Semester Workload: 108 Hours Presence (Direct): 45 Hours 3 ECTS

Assessment Criteria Discipline is considered passed if the tests and reports on labs are successfully completed.

Module Contents Module 1. Representation of a virtual enterprise and its information flows in the design of a single information space. Module 2. Features of designing and creating a single information space of virtual enterprises.

Prerequisite and Conditions To study the course « Design of a common information space of virtual enterprises » the student must know the basic intellectual tools and systems of automation, must be able to use automation tools when designing electric systems.

During the training sessions, interactive lectures, analysis of situations and simulation models are used.

Assessment Methods Homework Assignments: Students will volunteer or be asked to discuss homework due that class period. Late homework will not be accepted. There are both individually and group assignments. There are two types of homework: the study of the theory and the design of laboratory and practical work. For self-study of the theory of students issued the following topics: 1. Integration of business processes and the principles of competitiveness as the basis of the activities of virtual enterprises. 2. Automated systems design, technological preparation of production, production management. Supply chains and service. Graphic tools for the representation of design solutions: parametric design, 3D modeling, prototyping, simulation of work on machine tools with numerical control. 3. The EXPRESS product data representation language and XML markup language. Methods of describing and converting information models. Selection and design of a coding system, classifiers and reference books of information objects. Methods for developing a unified information space of virtual enterprises based on the use of standards and product model languages. 4. Parametric information space of the product and its elements. Designing information flows of production processes. 5. Software and hardware tools for designing integrated systems of a virtual enterprise. Modeling and object-oriented programming of information interactions. 6. Agent approach to design. Theory and means of implementing multi-agent systems and their use for the tasks of information services of a virtual enterprise. Technologies CORBA, DCOM, RMI. Network technologies in creating a single information space. Principles of creation and functioning of composite and global networks for solving problems of a single information space. 7. Fundamentals and objectives of information and functional integration. Typification of integrated design solutions based on multi-agent systems. 8. Types of provision of integrated information systems. Computer-aided design of integrated information systems based on information and software integration. Operation of integrated information systems. After completing the laboratory work in the classroom, the student must issue a report on the laboratory work: make the necessary calculations and answer control questions. Participation:

Teaching language Russian

Lecturer TBA

Lab assistant TBA Timetable Weeks 1-9: lecture classes – 2 academic hours every week; laboratory classes – 2 academic hours every two weeks. Weeks 10-18: laboratory classes – 2 academic hours every week.

Course Plan Lecture classes Module 1. Representation of a virtual enterprise and its information flows in the design of a single information space. Lecture 1. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Introduction. Basic concepts, terms and definitions. Subject and tasks. Basic concepts of a virtual enterprise and its single information space. A single information space of virtual enterprises and the basics of its organization in accordance with the requirements of CALS- technologies. • References. [1,2]

Lecture 2. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. The main automated systems of a virtual enterprise as elements of its single information space. System information support of the life cycle of products and processes of a virtual enterprise. Modeling and management of business processes, product data. PDM systems. • References. [1,2] Lecture 3. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Standards and languages for the presentation of product models and business processes of a virtual enterprise. Methods and tools for modeling products and business processes. STEP standard. Communication of information models with the stages of product life cycle and business processes of a virtual enterprise. • References. [1,2,3] Lecture 4. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. The structure of the information space of a virtual enterprise. The generalized structure of the information space. Information interactions in the operation of a virtual enterprise. • References. [1,2,5] Module 2. Features of designing and creating a single information space of virtual enterprises. Lecture 5. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation

using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Tools for designing an integrated information environment of a virtual enterprise. A single information space of virtual enterprises as an object of design. • References. [1,2] Lecture 6. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Organization of information interaction in a single information space of a virtual enterprise. Methods of organizing the interaction of software components of virtual enterprise systems. • References. [1,2,4] Lecture 7. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Integration of automated systems for various purposes into a single information space of virtual enterprises. Features of building a single information space of a virtual enterprise. Methods and tools for the integration of automated systems in the construction of a single information space. • References. [1,2,4] Lecture 8. • Agenda. Students are in the classroom for 90 minutes with a five- minute break. The lecturer gives a lecture in the form of a presentation using projector with screen. Students need to have a notebook and pen (pencil). • Topics. Creation and operation of an integrated information environment of a virtual enterprise. Stages of the life cycle of integrated information systems for automation and process management of a virtual enterprise. The main stages of designing

integrated information systems and a single information space of virtual enterprises. Conclusion. • References. [1,2] Laboratory classes Agenda. Students are in the laboratory for 90 minutes with a five-minute break. The assistant helps students carry out labs. Students need to have a notebook with lecture notes and pen (pencil). • Laboratory session 1. Development of an electronic description of the product and elements of the design and technological preparation of its production and their integration into a single information space based on CAD and PDM systems. • Laboratory session 2. Designing models of typical business processes of a virtual enterprise in accordance with the requirements of a single information space using CASE-tools. • Laboratory session 3. Development of algorithms and schemes for the interaction of participants in business processes and the integration of software systems for their automation with the Organization of technical documentation and changes in technical documentation in the management of engineering data in a PDM system using a PDM system.

Bibliography and teaching resources Main references 1. Designing a unified information space of virtual enterprises / А.G. Skhirtladze, A.V. Skvortsov, D.A. Chmyr. - M .: Abris, 2012. - 615 p. 2. Bochkarev, S.V. Corporate information systems: study guide / S. V. Bochkarev, I. A. Schmidt; Perm State Technical University. - Perm: Publishing House of Perm State Technical University, 2010. - 363 p. Supplementary References 3. Organization, planning and design of production. Operational management: Per. from English / N. Slack, S. Chambers, R. Johnston. - Moscow: INFRA-M, 2011. - 789 p. 4. Kovalenko, V.V. Designing information systems: studies. Manual for universities / V.V. Kovalenko. - Moscow: FORUM, 2012. - 319 p. 5. Belov, V.V. Designing information systems: studies. For universities /, V.I. Chistyakov; by ed. V.V. Belova. - Moscow: Academy, 2013. - 352 p.

Scheduled Work Plan Type of Week Total, classes 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 hours Lecture 2 2 2 2 2 2 2 2 16 classes Laboratory 1 2 2 2 2 2 2 2 2 2 2 2 2 25 classes Tests 2 2 Lab reports 2 2 presentation

Software Name Purpose Windows 10 Operating system Microsoft Office Professional 2007 Office applications Application software National Instruments LABView

Scheduling of activities Type of Week Total, activities 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 hours Repeating the 1 2 2 2 2 2 2 13 previous and preparing for the next lectures. Preparing for 4 4 the test. Preparation 1 2 2 2 2 2 2 2 2 2 2 2 2 25 for laboratory work and

report on them. Preparation 4 4 for lab reports presentation