PG-Curriculum (Structure and Course Contents) Electronics Engineering with Effect from July 2018

PG-Curriculum (Structure and Course Contents) Electronics Engineering With effect from July 2018

Electronics and Communication Engineering Punjab Engineering College (Deemed to be University) Chandigarh

PG Curriculum Structure

Segment {Fractal system Sr. (each section of 0.5 Course Stream Course Name Credits No. Credits and 7 contact hours)} 1 2 3 4 5 6 Semester I Internet of Things 1.5 1. Soft Computing Machine Learning 1.5 Design of experiments and Design of experiments and research 2. 3 research methodology methodology 3. Program Core-I Advanced Communication Systems 3

4. Program Core-II Telecommunication Systems 3  Advanced Digital Signal Processing Program  Microwave Integrated Circuit 1.5 Elective-I: E1  RF and Microwave MEMS-I  FPGA and ASIC 5.  Semiconductor Microwave Devices Program  Digital Image Processing 1.5 Elective-II: E2  RF and Microwave MEMS-II  FPGA Based System Design Engineering EM1: Fourier Transforms 1 6. Mathematics EM2: Numerical Methods 1 (EM) EM3: Optimization Techniques-II 1 Total Credits 18

Segment {Fractal system Sr. (each section of 0.5 Course Stream Course Name Credits No. Credits and 7 contact hours)} 1 2 3 4 5 6 Semester II Communication Skills (CS) 1.5 Soft Skills and 1. Management and Entrepreneurship(M)/IPR 1 Management Professional Ethics (PE) 0.5 Program Core 2. Optoelectronics 3 III Program Core- 3. Wireless Sensors Networks 3 IV  Microcontroller Based Systems  Semiconductor Device Modelling Program  Thin Film Deposition and Device 1.5 Elective-III: E3 Fabrication-I  Analog VLSI Circuit Design

 Coding Theory and Application 4.  Digital VLSI Circuit Design  Nano Electronic Devices Program  Thin Film Deposition and Device 1.5 Elective-IV: E4 Fabrication-II  Embedded Systems Open Elective 1 1.5  Neural Networks 5. Open Elective Open Elective 2 1.5  Applications of Neural Networks Mini project/ 6. 3 Pre-dissertation Total Credits 18

Summer Term *

Sr. no. Course Course Name Credits Code

1 Industrial Visit (3 days to 1 week of visit, Submission Satisfactory/ Non- and presentation of visit report) satisfactory

*After Examination of second semester, in the first week of summer vacation industry visit can be undertaken.

Course Course Name Credits When it runs in a semester No. 1 2 3 4 5 6 Semester-III 1. Dissertation-I/Industry Project 14

Course Course Name Credits When it runs in a semester No. 1 2 3 4 5 6 Semester-IV 1. Dissertation-II/Industry Project 18

Total credits – 68

 20% courses/ semester can be offered in blended mode MOOC’s/Industry.  MOOC’s/Industry offered course is having fractional credits. Industry offering course content will be designed by industry will be as per expert availability. Industry person will deliver and evaluate this subject. As per the duration of MOOC’s/industry offered course, credits of this course can be decided (fractional credits).

Course Name : Internet of Things Course Code : SCM5011 Credits : 1.5 L T P : 2 0 2 Segment : 1-3 Total No. Lectures: 14 Total No. of Lab hrs. 14 Course Objectives: The main objectives of this course are:  To understand IoT architecture and market perspective.  To understand the basic principles and operation of different types of sensors commonly used on mobile platforms.

Course Contents: Sr. Course contents No. of No. Lectures 1. Introduction to IOT 2 What is IoT, how does it work? Difference between Embedded device and IoT device, Properties of IoT device, IoT Ecosystem, IoT Decision Framework, IoT Solution Architecture Models, Major IoT Boards in Market , Privacy issues in IOT 2. Setting Up Raspberry Pi/Arduino to Create Solutions 3 Explore Raspberry Pi, Setting up Raspberry Pi, Showing working of Raspberry Pi using SSH Client and Team Viewer, Understand Sensing actions, Understand Actuators and MEMS. 3. Communication Protocols used in IoT 3 Types of wireless communication, Major wireless Short-range communication devices, properties, comparison of these devices (Bluetooth, WIFI, ZigBee, 6LoWPAN), Major wireless Long-range communication devices, properties, comparison of these devices (Cellular IoT, LPWAN) 4. IoTApplications 3 IoT Applications for Value Creations Introduction, IoT applications for industry: Future Factory Concepts, Brownfield IoT, Smart Objects, Smart Applications 5. Sensors 3 Applications of various sensors: Google Maps, Waze, WhatsApp, Ola Positioning sensors: encoders and accelerometers, Image sensors: cameras Global positioning sensors: GPS, GLONASS, IRNSS, Galileo and indoor localization systems, Motion & Orientation Sensors: Accelerometer, Magnetometer, Proximity Sensor, Gyroscope, Calibration, - noise modelling and characterization, and - noise filtering and sensor data processing, Privacy & Security, Selection of Sensors for Practical Applications

Lab Work: Sr. Lab contents No. of No. Hours 1. Setting up Raspberry Pi and Arduino 2 2. Build small scale wireless communicating IOT device 4 3. Integrate positioning sensors to IOT device 4 4. Integrate motion and orientation sensors to IOT device 4

Course Outcomes: At the completion of this course, students will be able to: 1. Understand the concept of IOT 2. Study IOT architecture and applications in various fields 3. Study the security and privacy issues in IOT. 4. Understand various applications of sensor in Industrial, healthcare, commercial, and building automation.

Bibliography: Sr. Year of Book Detail No. Publication Vijay Madisetti and ArshdeepBahga, “Internet of Things (A Hands-on- 1. 2014 Approach)”, VPT, 1st Edition Francis daCosta, “Rethinking the Internet of Things: A Scalable Approach to 2. 2013 Connecting Everything”, Apress Publications, 1st Edition 3. CunoPfister, “Getting Started with the Internet of Things”, OReilly Media 2011 Kyung, C.-M., Yasuura, H., Liu, Y., Lin, Y.-L., Smart Sensors and Systems, 4. 2015 Springer International Publishing

MOOCs on this course are available at:

1) Introduction to Internet of Things - https://www.edx.org/course/introduction-to-the-internet- of-things-iot 2) IoT Programming and Big Data -https://www.edx.org/course/iot-programming-big-data- curtinx-iot4x

Course Name : Machine Learning Course Code : SCM5012 Credits : 1.5 L T P : 2 0 2 Segment : 4-6 Total No. Lectures: 14 Total No. of Lab hrs. 14 Course Objectives: The main objectives of this course are:  To gain in depth understanding the fundamental issues and challenges of machine learning: data, classifiers, reasoning behind Model selection, model complexity, etc.

Course Contents: Sr. Course contents No. of No. Lectures Basics of machine learning: Applications of Machine Learning, processes 1. involved in Machine Learning, Introduction to Machine Learning Techniques: 3 Supervised Learning, Unsupervised Learning and Reinforcement Learning, Real life examples of Machine Learning. Supervised learning: Classification and Regression: K-Nearest Neighbour, 2 Linear Regression, Logistic Regression, Support Vector Machine (SVM), 6 Evaluation Measures: SSE, MME, R2, confusion matrix, precision, recall,F- Score, ROC-Curve. Unsupervised learning: Introduction to clustering, Types of Clustering: 3 Hierarchical-Agglomerative Clustering and Divisive clustering; Partitional 5 Clustering - K-means clustering, Principal Component Analysis, ICA.

Lab Work: Sr. Lab contents No. of No. Hours 1. Python Introduction: Loops and Conditions and other preliminary stuff, 8 Functions, Classes and Modules, Exceptions, Database access, Mathematical computing with Python packages like: numpy, Mat- plotLib, pandas Tensor Flow, Keras, 2. Application Oriented Project Work 6

Course Outcomes: At the completion of this course, students will be able to: 1. The students should be able to design and implement machine learning solutions to classification, regression and clustering problems 2. The students should be able to evaluate and interpret the results of the different ML techniques 3. Ability to design and implement various machine learning algorithms in a range of Real-world applications. 4. Proficiency in using Python for various applications.

Bibliography: Sr. Year of Book Detail No. Publication 1 Tom Mitchell, Machine Learning, McGraw Hill, 2017 Christopher M. Bishop, Pattern Recognition and Machine Learn- 2011. 2 ing, Springer, T. Hastie, R. Tibshirani, J. Friedman. The Elements of Statistical 2008. 3 Learning, 2e, Yuxi (Hayden) Liu, “Python Machine Learning By Example”, Packt 2017 4 Publishing Limited

MOOCs on this course are available at:

1) Data Science: Machine Learning -https://www.edx.org/course/data-science-machine-learning 2) Machine Learning - https://www.coursera.org/learn/machine-learning

Course Name : Design of Experiments and Research Methodologies Course Code : DRM5011 Credits : 3 L T P : 2 0 2 Segment : 1-6 Total No. Lectures: 28 Total No. of Lab hrs. 28 Course Objectives: The main objectives of this course are:  To develop an understanding of how to identify research topics, formulate research questions / hypotheses, select an appropriate research and, where applicable, experimental design.  To provide a basis so the student can effectively develop a research proposal for either a capstone project, master's thesis, research project, or designed experiment.

Course Contents: Module-I (Common for all branches) Sr. Course contents No. of No. Lectures 1. Introduction: Types of Research and Their Purposes, Locating, Analysing, 4 stating and evaluating research problem, need for literature review, steps in conducting literature review, SWOT analysis, research questions and hypothesis, types of hypothesis, evaluation of hypothesis.

2. Statistical Methods of Analysis: Descriptive statistics: mean, median, mode, 8 range, mean deviation and standard deviation, regression and correlation analysis, inferential statistics: t-tests, Chi-square tests. Correlation (rank difference and product moment), ANOVA (one way) 3. Procedure for writing a research report and manuscript: Types of research 2 reports, steps of writing a report, layout of report, layout of research paper, ethical issues related to publishing, Plagiarism and Self-Plagiarism.

Module-II (For Circuital Branch) 4 Research Design and Sampling Design: Concept of research design, features of a 6 good research design, concept of population and sample, characteristics of sample design, types of sampling techniques 5 Methods of data collection and measurement: Primary data and Secondary 8 data, data collection techniques: observation, interview, questionnaires, schedules, case-study, levels of measurement, problems in measurement in research – validity, reliability.

Module-III (For non-Circuital Branch)

5. Engineering Research: Planning & management of experiments; Conventional 4 method for experiment: One factor at a time (OFAT) experiment, Concept of design of experiments: Common terms, Designed experiment, Full factorial experiments: Orthogonality of experiments, Y = F (x) for DoE, main effect analysis, interaction analysis and results 6. Fractional factorial experiments, Resolution of design, screening DoE, practicing 5 with excel and statistical software, Optimizing using Response Surface

Methodology (RSM) 7. Taguchi Methods: Difference between conventional DoE and Taguchi methods, 5 Orthogonal arrays, Taguchi’s Robust parameter design, Noise factors, S/N ratio, Selection of right orthogonal array

Lab Work: Sr. Lab contents No. of No. Hours 1. Select a problem from your area of interest, identifying the type of research 4 problem it is and perform the SWOT analysis of the existing literature. 2. Generate research questions and hypotheses for a problem from your area of 4 interest. 3. Identify the population and sample for the study (highlighting the technique used 4 for sample selection) for a problem from your area of interest. 4. Design a questionnaire for the problem of interest. 4 5. Utilizing software such as SPSS, Mini Tab, etc. for the statistical analysis of the 6 results obtained for the desired questionnaire. 6. Preparing a research paper for the problem of interest 6 Course Outcomes: At the completion of this course, students will be able to: 1. Developed an understanding of how to identify research topics, formulate research questions and corresponding hypotheses, select an appropriate research and where applicable, experimental design. 2. Perform required statistical analyses for any univariate application in a business / industrial setting, regardless of data form, and will be familiar with major indices for measuring correlation and association. 3. Further, the underlying assumptions related to each statistical test and its interpretation will be thoroughly reviewed.

Bibliography: Sr. Year of Book Detail No. Publication Probability and Statistics for Engineers and scientists by Anthony J. Hayter, 1. 2016 Cencage Learning, 4th Edition Probability and Statistics for Engineers and scientists by Walpole, Myers, 2. 2007 Myers and Ye, 8th ed Pearson Education Research Methodology - Methods and Techniques, C. K. Kothari, New Age 3. 2004 International, 2nd Edition English for writing research papers by Adrian Wallwork, 2nd Edition. 4. 2016 Springer Statistics: Concepts and Controversies by David S. Moore, William I. Notz, 5. 2016 W. H. Freeman

Course Name : Optoelectronics Course Code : ECM5011 Credits : 3.0 L T P : 2 0 2 Segment : 1-6 Total No. Lectures: 28 Total No. of Lab hrs. 28 Course Objectives: The main objectives of this course are:  To understand the various advanced multiplexing techniques.  To understand the basics and current advanced wireless technologies.  To explain the concepts of various latest technologies in the area of wired and wireless communication.

Course Contents: Sr. Course contents No. of No. Lectures 1. Module-1 Advanced multiplexing techniques (Credit- 0.5) 7 Wavelength division multiplexing (WDM), Dense Wavelength division multiplexing (DWDM), Coarse DWDM, Orthogonal frequency division multiplexing (OFDM), Polarization division multiplexing (PDM), Spread Spectrum Overview: Direct sequence and frequency hopped spread spectrum, Code Division Multiple Access (CDMA), Wireless CDMA, Spectral efficiency of multiple access systems, Space Division Multiplexing 2. Module -2 Advanced wireless techniques (Credit- 0.5) 7 Wireless transmission: overview of GSM-architecture fading, diversity and equalisation, location tracking and call setup, roaming in wireless and mobile networks, Mobile communication channel models. Spectrum sharing, Dense user deployed small cells, Overview of mobile satellite communication, development and differences between current standards (WLL, WLAN). 3. Module–3 Advanced wired techniques (Credit- 0.5) 7 Ray optics representation, wave representation, Mode theory for circular waveguides, linearly polarized modes, power flow in fibers. Design concepts of Multicore fibers, Overview of optics on chip/ photonics technology, Mid-infrared photonics, Microwave photonics. 4. Module– 4 Latest technologies (Credit- 0.5) 7 Molecular communication, Vehicular communication, heterogeneous network technology, Li-Fi, Radio over fiber (ROF), Passive networks.

Lab Work: Sr. No. Lab contents No. of Advanced Communication Lab (Credit-1.0) Hours 1. To analyse GSM architecture along with functionality of hardware. 28 2. To estimate the handover facilities and handover success rate. (14 X 2) 3. To study optimization strategies to improve grade of service. 4. To calculate and estimate EMF radiation, loss in leaky mode. 5. Design and simulation of communication systems for Passive Networks. 6. Design and simulation of communication system for Free Space Optics (FSO) 7. Design and modal analysis of different types of on chip waveguides. 8. To analyse the advanced digital modulation techniques in time and frequency domain and their constellation view. 9. Projects based on hardware/software related to the course content.

Course Outcomes: At the completion of this course, students will be able to: 1. Analyze the advanced multiplexing techniques in communication systems. 2. Explain the design of advanced wired and wireless communication networks/systems. 3. Study and investigate latest communication technologies.

Bibliography: Sr. Year of Book Detail No. Publication Taub and Schilling, “Principles of Communication systems”, 2nd Edition, 1 1991 McGraw Hill 2 Proakis, “Communication Systems”, 2nd Edition, Prentice Hall. 2002 3 Olivier Bouchet, “Wireless Optical Communications”, 1st Edition, Wiley. 2012 B.P. Lathi, “Modern Digital and analog communication systems”, 4th Edition, 4 2017 Oxford University Press. Mynbaev, “Fiber-optics communication Technology”, 1st Edition, Pearson 5 2002 Education India. Theodore S. Rappaport, Wireless Communications- Principles and Practice, 6 2010 2nd Edition, Pearson.

Course Name : Telecommunication Systems Course Code : ECM5021 Credits : 3.0 L T P : 3 0 0 Segment : 1-6 Total No. Lectures: 42 Course Objectives: The main objectives of this course are:  To understand 5G technology and its applications.  To understand various aspects of mobile phone design, telecom infrastructure.  To understand transforming telecommunication on sustainable energy alternatives.

Course Contents: Sr. Course contents No. of No. Lectures 1. Module -1 From LTE to 5G (Credit- 0.5) 7 Telecom Regulatory Authority of India(TRAI), International Telecommunication Union(ITU), Telecom Spectrum Auction, Call drop, Millimetre wave technology, Massive MIMO Antennas, Network Densification, Radio Access Network Technology, Cyber security and legislations over 5G network, Case study and project 2. Module -2 Mobile phone design and applications (Credit- 0.5) 7 Mobile phone manufacturing process, System on chip ,Chips present in mobile phone, mobile phone apps, Introduction to mobile computing, Various operating systems and their developers, Case study and project. 3. Module–3 Telecom Infrastructure (Credit- 0.5) 7 Cell phone tower design, industrial scenario of towers, Indian scenario of satellites and role of ISRO, Applications of Satellites, Satellite Telephones, Global Positioning System (GPS), Case study and project. 4. Module–4 Green Telecommunication (Credit- 0.5) 7 Conventional and Non-conventional Energy sources, Energy performance assessment of Telecom Infrastructure, RF wireless energy harvesting, Design to dumping of mobile phones and other telecom infrastructure as per E-Waste Laws, TRAI recommendations for green communication, Case study and project 5. Module–5 Wireless Technologies and Security (Credit- 0.5) 7 Broadband, Ad-hoc Networks, Bluetooth, Zigbee, Small cells, DTH, Integrated vehicle systems and robotics, Telecommunication for smart cities, Telemetry, Telemedicine, Security and routing techniques, Cryptography and network security, Case study and project. 6. Module–6 Software Defined Radio (Credit- 0.5) 7 Introduction to Software Radio, The need for Software Radios, Characteristics and benefits of a Software Radio, Design principles of Software Radio, Applications of SDR, Case study and project.

Course Outcomes: At the completion of this course, students will be able to: 1. Attain knowledge of commercial wireless communication systems.

2. Understand telecommunication systems engineering techniques taking into account of industrial and commercial constraints.

Bibliography: Sr. Year of Book Detail No. Publication A.Osseiran, J.F. Monserrat and Marsch, 5G mobile and wireless 1 2016 communication technologies, Cambridge University Press. A. Naha and P. Whale , Essentials of mobile handset design, Cambridge 2 2012 University Press Radwan, Ayman and Jonathan Rodriguez, Energy Efficient Smart Phones for 3 2014 5G Networks, Springer G K. Samdanis, P. Rost, A. Maeder, M. Meo, and C. Verikoukis, Green 4 2015 Communications: Principles, Concepts and Practice , John Wiley & Sons W.Stallings, Cryptography and network security: principles and practice , 5 2003 Pearson Education India E.Grayver, Implementing Software defined radio, Springer Science & 6 2012 Business Media

Course Name : Advanced Digital Signal Processing Course Code : ECM5101 Credits : 1.5 L T P : 2 0 2 Segment : 1-3 Total No. Lectures: 14 Total No. of Lab hrs. 14 Course Objectives: The main objectives of this course are:  To understand the techniques in discrete-time signal transforms, digital filter design, multi-rate digital signal processing, Wavelet Transform, which are of importance in the areas of signal processing, control and communications.

Course Contents: Sr. Course contents No. of No. Lectures 1. Module-1 Digital Filters : (Credit- 0.5) 7 FIR filters, IIR filters. Digital filter design techniques: Impulse invariance. Bilinear transformation, window design methods, frequency sampling technique, optimization algorithms, Butterworth, Chebyshev Filter Design Techniques. Continuous & discrete wavelets transform, Multi Resolution Analysis Filter Banks. 2. Module -2 Multi Rate Signal Processing (Credit- 0.5) 7 Rounding and truncation errors, quantization effects in A/D converter, FIR and IIR filters (MULTI-RATE SIGNAL PROCESSING), Integer sampling rate conversion. Interpolation and decimation filters. Design of practical sampling rate converters, Sampling rate conversion by an arbitrary factor. Applications of multi-rate signal processing in telecommunications. Principles of adaptive filtering, Adaptive filters as noise cancellers, adaptive line enhancer, in-system modeling. Basic Wiener filter.

Lab Work: Sr. Lab contents No. of No. Lab/Experiments (Credit- 0.5) Hours 1. MATLAB based experiments on Digital Filter Design, Wavelet transform 14 Mutirate signal processing and Adaptive Filtering.

Course Outcomes: At the completion of this course, students will be able to: 1. Understand the techniques for discrete-time signal transforms & multirate signal processing. 2. Design digital filters

Bibliography: Sr. Year of Book Detail No. Publication Digital Signal Processing-E C fleacher& B W Jervis; PHI. Latest 1 edition 2 Digital Signal Processing-A.V. Oppenheim & B.W. Jervis; PHI 2006 3 Digital Signal Processing-J.G. Prokis& D.G. Manolakis; PHI. 2006 4 Digital Signal Processing-M.H. Hayes; Schaum’s Outlines 2002 5 Applied Digital signal processing – Manolakis, Ingle. Latest edition 6 Research and Review papers in specific area

Course Name : Microwave Integrated Circuits Course Code : ECM5102 Credits : 1.5 L T P : 2 0 2 Segment : 1-3 Total No. Lectures: 14 Total No. of Lab hrs. 14 Course Objectives:

The main objectives of this course are:  To provide an in-depth treatment of the theory of different types of planar transmission line structures and their applications for the development of integrated circuits at microwave and millimeter wave frequencies.

Course Contents:

Sr. Course contents No. of No. Lectures 1. Module-1 Planar Transmission Lines and Lumped Elements for MICs: (Credit- 7 0.5) Fundamentals of transmission lines, Foundations of Microstrip lines, Striplines, Slotlines, Coplanar waveguides, Coplanar strips; Launching Techniques: Coaxial line to microstrip transition, Rectangular waveguide to microstrip transition, microstrip to slot-line transition, microstrip to coplanar waveguide (CPW) transition, Lumped Components: Capacitors, Inductors and Resistors. 2. Module -2 Active and Passive Circuits (Credit- 0.5) 7 Introduction, open-circuit end correction, corners, symmetrical step, T-junction, series gaps, Bends, Design of power dividers and combiners, directional couplers, hybrid couplers, phase shifter, filters

Lab Work:

Sr. Lab contents No. of No. MIC Design & Simulations Lab (Credit- 0.5) Hours 1. Modelling & Simulation of planar transmission lines and circuits. 14

Course Outcomes: At the completion of this course, students will be able to: 1. Attain in-depth knowledge of different types of planar transmission line structures for ICs at microwave and millimeter wave frequencies. 2. Design and simulate various planar transmission lines and circuits.

Bibliography:

Sr. Year of Book Detail No. Publication Fooks, E.H. and Zakarevicius, R.A., “Microwave Engineering Using 1 1990 Microstrip Circuits,” Prentice-Hall Franco di Paolo, “Networks and Devices using Planar Transmission Lines,” 2 2000 CRC Press

3 Pozar, D.M., “Microwave Engineering”, 3rd Ed., John Wiley & Sons 2004 Roberto Sorrentino and Giovanni Bianchi, “Mirowave and RF Engineering” 4 2010 John Wiley & Sons Koul, S.K., “Millimeter Wave and Optical Dielectric Integrated Guides and 5 1997 Circuits”, John Wiley & Sons 6 Research and Review papers in specific area

Course Name : RF and Microwave MEMS-I Course Code : ECM5103 Credits : 1.5 L T P : 3 0 0 Segment : 1-3 Total No. Lectures: 21 Course Objectives: The main objectives of this course are:  To provide an in-depth knowledge of Microelectromechanical Systems (MEMS) and their applications in RF and wireless engineering.

Course Contents: Sr. Course contents No. of No. Lectures 1. Module-1 RF MEMS (Credit- 1.0) No of hrs 14 RF MEMS for microwave applications, MEMS technology and fabrication, mechanical modeling of MEMS devices, MEMS materials and fabrication techniques. 2. Module -2 MEMS Switches (Credit- 0.5) 7

Introduction to MEMS switches; Capacitive shunt and series switches: Physical description, circuit model and electromagnetic modeling; Techniques of MEMS switch fabrication and packaging; Design of MEMS switches.

Course Outcomes: At the completion of this course, students will be able to: 1 Attain in-depth knowledge of basics of MEMS technology 2. Understand the potential applications of MEMS in RF and wireless engineering.

Bibliography: Sr. Year of Book Detail No. Publication Varadan, V.K., Vinoy, K.J. and Jose, K.J., “RF MEMS and their 1 2002 Applications”, John Wiley & Sons 2 Rebeiz, G.M., “MEMS: Theory Design and Technology”, John Wiley & Sons 1999 De Los Santos, H.J, “RF MEMS Circuit Design for Wireless 3 1999 Communications”, Artech House 4 Trimmer, W., “Micromechanics & MEMS”, IEEE Press 1996 5 Madou, M., “Fundamentals of Microfabrication”, CRC Press 1997 6 Sze, S.M., “Semiconductor Sensors”, John Wiley & Sons 1994 7 Research and Review papers in specific area

Course Name : FPGA and ASIC Course Code : ECM5104 Credits : 1.5 L T P : 2 0 2 Segment : 1-3 Total No. Lectures: 14 Total No. of Lab hrs. 14

Course Objectives: The main objectives of this course are:  To understand automated design flows supporting designs with FPGAs.  To understand fundamental concepts of FPGA.  To understand different technologies to configure FPGA and various FPGA architectures.

Course Contents: Sr. Course contents No. of No. Lectures 1. Introduction to FPGA and ASIC (Credit- 0.5) 7 VLSI Design Flow, Design Hierarchy, VLSI Design Styles, Types of ASIC, Full custom ASIC, Gate Array Based ASIC, Standard Cell Based ASIC, FPGA versus ASIC, Fuse, Antifuse, PROM, EPROM, EEPROM, Flash and SRAM based FPGAs, Circuit Design of FPGA fabrics. Fine, medium and coarse grained architectures , MUX versus LUT-based logic blocks, CLBs versus LABs versus slices, Fast carry chain. 2. HDL (Credit- 0.5) 7 Basic concepts of hardware description languages, An overview of VHDL and verilog HDL, Structural, Data-flow and Behavioural styles, Delay modelling, Control statements, FSM modelling of hardware description language, Datatypes, Operators and Attributes, Concurrent and Sequential Code, Signal and Variable, Package and Components, Function and Procedure

Lab Work: Sr. Lab contents No. of No. Simulation and Implementation Credit- 0.5) Hours 1 Simulation and Implementation of Various Flipflops, Generic address decoder 14 with and without generate ,Tristate buffer, Legal and illegal assignments, Multiplexer implemented with operators and using when and select, Implementing sequential circuits with concurrent code and concurrent circuits using sequential code, counter shift register, carry ripple adder, leading zeros, slow 0 to 9 counter with SSD, Generic hamming weight with concurrent code, Circular shift register with component, Parity detector with component and generic map using Xilinx ISE

Course Outcomes: At the completion of this course, students will be able to: 1. Design and manually optimize complex combinational and sequential circuits. 2. Understand the design model, method, criterion and steps of FPGA design. 3. Understand the configuration of FPGA. 4. Learn the performance specification of FPGA devices.

Bibliography : Sr. Year of Book Detail No. Publication Wayne Wolf, FPGA - Based System Design, Pearson education, LPE 1st 1 2004 Indian Reprint Michad John, Sebastian Smith, Application Specific Integrated Circuit, 2006 2 Pearson Education John V.Oldfield, Richard C. Dorf, Field Programmable Gate Arrays, John 1995 3 Wiley & Son Maxfield, Clive. The design warrior's guide to FPGAs: devices, tools and 2004 4 flows. Elsevier Pedroni, A., Volnei Circuit design and simulation with VHDL, MIT Press, 2010 5 second edn 6 Research and Review papers in specific area

Course Name : Semiconductor Microwave Devices Course Code : ECM5201 Credits : 1.5 L T P : 2 0 2 Segment : 4-6 Total No. Lectures: 14 Total No. of Lab hrs. 14 Course Objectives: The main objectives of this course are:  To introduce to the students, the principles of operation of various microwave and millimeter wave semiconductor devices and their applications.

Course Contents: Sr. Course contents No. of No. Lectures 1. Module-1 High Frequency Materials (Credit- 0.5) 7 Band structure, Direct and indirect semiconductors, abrupt isotype/anisotype junctions, electrical and optoelectronic properties, 2-Dimensional Electron Gas (2-DEG), novel materials

2. Module -2* High Frequency Devices (Credit- 0.5) 7 PIN Diode, Schottky diodes, Tunnel diode, Gunn Diode, IMPATT Diode, Novel Devices 3. Module -3* Heterostructure Devices (Credit- 0.5) 7 Heterojunction bipolar transistor (HBT), MOSFETs, high electron mobility transistor (HEMT), LED and Photodetectors

* Students can opt any one module (module 2 or module 3)

Lab Work: Sr. Lab contents No. of No. Device Modelling and Simulation Lab (Credit- 0.5) Hours 1 Modelling and simulation of microwave devices using Software (such as 14 SILVACO TCAD).

Course Outcomes: At the completion of this course, students will be able to: 1. Attain in-depth knowledge of different semiconductor materials. 2. Understand operation/working principle of different semiconductor devices for microwave applications 3. Design and simulation of microwave devices

Bibliography : Sr. Year of Book Detail No. Publication Sze, S. M., and Ng, K. K., “Physics of Semiconductor Devices”, 3rd Ed., 1 2006. Wiley-Interscience. Tsividis, Y., “Operation and Modeling of the MOS Transistor”, 2nd Ed., 2 2003. Oxford University Press, 3 Arora, N., “MOSFET Models for VLSI Circuit Simulation: Theory and 1993.

Practice”, 4th Ed., Springer-Verlag, Sarrafzadeh, M. and Wong, C.K., “An Introduction to VLSI Physical 4 1996. Design”, 4th Ed., McGraw-Hill, Wolf, W., “Modern VLSI Design System on Silicon”, 2nd Ed., pearson 5 2000. Education, 6 Research and Review papers in specific area.

Course Name : RF and Microwave MEMS-II Course Code : ECM5203 Credits : 1.5 L T P : 3 0 0 Segment : 4-6 Total No. Lectures: 21 Course Objectives: The main objectives of this course are:  To understand Microelectromechanical Systems (MEMS) and their applications in RF and wireless engineering.

Course Contents: Sr. Course contents No. of No. Lectures 1. Module-1 MEMS Inductors and Capacitors (Credit- 0.5) 7 MEMS switches; Capacitive shunt and series switches; Micromachined inductors: Effect of inductor layout, reduction of stray capacitance of planar inductors, folded inductors, variable inductors and polymer-based inductors; MEMS Capacitors: Gap-tuning and area-tuning capacitors, dielectric tunable capacitors. 2. Module -2 MEMS Filters and Phase Shifters (Credit- 0.5) 7 Modeling of mechanical filters, micromachined filters, surface acoustic wave filters, micromachined filters for millimeter wave frequencies; Various types of MEMS phase shifters; Ferroelectric phase shifters. 3. Module -3 Integration and Packaging (Credit- 0.5) 7 Role of MEMS packages, types of MEMS packages, module packaging, packaging materials and reliability issues.

Course Name : Digital Image Processing Course Code : ECM5202 Credits : 1.5 L T P : 2 0 2 Segment : 4-6 Total No. Lectures: 14 Total No. of Lab hrs. 14 Course Objectives: The main objectives of this course are: • To understand spatial domain filtering. • To understand filtering in frequency domain -FFT & DCT. • To understand Image compression techniques and Image Segmentation.

Course Contents: Sr. Course contents No. of No. Lectures 1. Module-1 Fundamentals of image processing (Credit- 0.5) 7 Fundamentals of Image Processing, Acquisition of image, Applications, Sampling and Quantization, Image Representation, Image Resolution, Intensity, Pixels, Coordinate Conventions, Imaging Geometry, Image Enhancement; Spatial Domain Filtering: Intensity transformations, contrast stretching, histogram equalization, Correlation and convolution, Smoothing filters, sharpening filters; Filtering In Frequency Domain: FFT (Decimation in Frequency and Decimation in Time Techniques), Convolution, Correlation, 2-D sampling, Discrete Cosine Transform. 2. Module -2 Image Compression And Segmentation (Credit- 0.5) 7 Lossy and Lossless compression, Entropy of an information source, Huffman Coding, Arithmetic Coding, Golomb Coding, LZW coding, Transform Coding, Sub-image size selection, blocking artifacts, JPEG, Lossless predictive coding, Lossy predictive coding. Multi-resolution analysis, Scaling functions, 2-D wavelet Transform, JPEG-2000 encoding, Digital Image Watermarking. Boundary detection based techniques, Point, line detection, Edge detection, Edge linking, local processing, regional processing, Hough transform, Thresholding.

Lab Work: Sr. Lab contents No. of No. Hours 1 MATLAB based experiments on Image filtering, Image Segmentation, Image 14 Compression.

Course Outcomes: At the completion of this course, students will be able to: 1. Understand concepts of image processing, filtering in time and frequency domain 2. Attain in-depth knowledge of Image compression techniques

Bibliography : Sr. Year of Book Detail No. Publication Digital Image Processing, 3rd Edition, by Rafael C Gonzalez and Richard E 1 2007 Woods. Publisher: Pearson Education., Latest Edition. 2 Fundamentals of Digital Image Processing by Anil K Jain, Latest Edition 1989 3 Research and Review papers in specific area.

Course Name : FPGA Based System Design Course Code : ECM5204 Credits : 1.5 L T P : 2 0 2 Segment : 4-6 Total No. Lectures: 14 Total No. of Lab hrs. 14 Course Objectives: The main objectives of this course are:  To understand Components embedded on FPGA  To understand fundamentals of the FPGA design tools.  To understand reconfigurable computing systems and the roles of FPGAs in those systems.  To explore the development and deployment of FPGA based digital systems.

Course Contents: Sr. Course contents No. of No. Lectures 1. Embedded blocks in FPGA and Logic Synthesis (Credit-0.5) 7 Embedded RAMs, Embedded multipliers, adders, MACs, Embedded processor cores(hard and soft), Clock trees and clock managers, General-purpose I/O, Gigabit transceivers, Hard IP, Soft IP and Firm IP, System gates versus real gates., Simulation with VHDL testbenches, Physical design compilation, simulation and implementation. Floor planning and placement, routing and its types, commercial EDA tools for synthesis, advanced FPGA applications, future of FPGAs. 2. System Level FPGA Design (Credit- 0.5) 7 State Machines, Basic Displays, Memory Circuits, Serial Communication Circuits, VGA and DVI Video Interfaces, FPD-link Video Interfaces.

Lab Work: Sr. Lab contents No. of No. Simulation and Implementation (Credit- 0.5) Hours 1 Simulation and implementation of finite state machine using Xilinx, vending 14 machine controller, zero to nine counter, car alarm with bypasses prevented by a flag, FSM with embedded timer, traffic light controller, pushbutton sequence detector, seven segment display, frequency meter, digital clock, quick finger game, RAM and ROM design with various architectures, serializer and deserializer circuit, PS2 interface, I2C interface, SPI interface, TMDS interface, VHDL design of VGA video, DVA video and FPD-link video interface using Xilinx ISE.

Course Outcomes: At the completion of this course, students will be able to: 1. Design and model digital circuits with HDL at behavioural, structural, and RTL Levels. 2. Develop and test benches to simulate combinational and sequential circuits. 3. Design of various video interfaces using HDL.

Bibliography: Sr. Year of Book Detail No. Publication Pedroni, A., Volnei Circuit design and simulation with VHDL, MIT Press, 1 2010 second edn. 2 J. Bhaskar , VHDL Primer, Pearson Education Asia 2001 Palnitkar, Samir, Verilog HDL: a guide to digital design and synthesis, 3 2003 Prentice Hall Professional Michad John, Sebastian Smith, Application Specific Integrated Circuit, 4 2006 Pearson Education Maxfield, Clive. The design warrior's guide to FPGAs: devices, tools and 5 2004 flows. Elsevier 6 Research and Review papers in specific area.

Course Name : Fourier Transforms Course Code : EMM5011 Credits : 01 L T P : 2-1-0 Segment : 1-2 Total No. of Lectures– 10, Total No. of Tutorials -5 Course Objectives: The main objectives of this course are: • To make the students understand the concept of Fourier transform and be able to compute it for standard examples. • To make the students able to apply Fourier transforms to solve differential equations and partial differential equations.

Course contents: Sr.No Course Contents No. of Lectures 1 Fourier Transforms: Fourier Integral formulas, Definition and examples, Basic 05 properties, Fourier cosine and sine transforms and examples, Basic properties of Fourier cosine and sine transforms, Multiple Fourier transforms. 2 Fast Fourier Transforms and Short Term Fourier Transforms: Definition and 05 examples, Basic properties, Applications.

Course Outcomes: At the end of the course, students will be able to: 1 Solve differential equations by using Fourier transforms 2 Solve partial differential equations by using Fourier transforms 3 Apply FFT and STFT to engineering problems

Bibliography: Sr.No. Name of Book / Authors / Publishers Year of Publication/ Edition 1 “Integral Transforms and Their Applications”, LoknathDebnath, CRC 1995. Press, Inc., 2 “Integral Transforms and their Applications”, Brian Davies, 3rd Edition, 2001 Springer-Verlag, New York,Inc, 3 “Fourier Transform and Its Applications”, Ronald N. Bracewell, 2nd 1986 Edition, McGraw-Hill Inc.,US,

Course Name : Numerical Methods Course Code : EMM5013 Credits : 01 L T P : 2-0-2 Segment : 3-4 Total No. of Lectures – 10 Total No. of Lab Hrs -10 Course Objectives: The main objectives of this course are: • To understand the basics of numerical methods. • To solve problems on system of linear equations and Interpolation by numerical methods.

Course contents: Sr.No Course Contents No. of Lectures 1 Error Analysis:Definition and sources of errors, Propagation of errors, Floating-point 02 arithmetic and rounding errors. 2 Interpolation: Interpolation using Finite differences, Numerical Differentiation and 04 Numerical integration, Trapezoidal and Simpson's rules. 3 Numerical Solution of Differential Equations: Picard’s method, Taylor series 04 method, Euler and modified Euler methods, Runge-Kutta methods, Predictor- Corrector method.

Lab Work: Sr.No Lab. Contents No. of Hours 1. Solving Interpolation, Numerical Differentiation and Numerical integration 04 problems using Mathematica. 2. Solving Differential equations numerically using Mathematica. 06

Course Outcomes: At the completion of this course, students will be able to: 1. Solve problems on Interpolation 2. Solve Problems on Differentiation, Integration. 3. Solve differential equations.

Bibliography: Sr.No. Name of Book / Authors / Publishers Year of Publication/ Edition 1 “Introduction to Numerical Analysis”,Atkinson K. E., John Wiley. 1989 2 “Applied Numerical Analysis”, Gerald C. F. and Wheatley P. O., Pearson 2004 3 “Numerical Methods for Scientific and Engineering Computation”, Jain M. K., 2004 Iyengar S.R.K. and Jain R. K., New Age International Publisher. 4 “Elements of Numerical Analysis”, Gupta R.S., Macmillan India Ltd . 2008

Course Name : Optimization Techniques and Genetic Algorithms Course Code : EMM5012 Credits : 01 L T P : 2-0-2 Segment : 5-6 Total No. of Lectures – 10 Total No. of Lab Hrs -10 Course Objectives: The main objectives of this course are: • To make the students understand the need of Optimization Techniques and develop the ability to form mathematical model of optimization problems. • To make the students able to identify and solve linear and non-linear models of optimization problems using Genetic Algorirhms.

Course contents: Sr.No Course Contents No. of Lectures 1 Introduction to optimization problem, local and global optimum, conversion of a 04 constrained problem to unconstrained problem.

2 Genetic Algorithms, Binary and Real coded Genetic Algorithms, Coding and 06 decoding of variables, Key steps in a GA, starting population, fitness evaluation, reproduction, crossover, mutation, evaluation.

Lab Work: Sr.No Lab. Contents No. of Hours 1. Using Genetic Algorithms in various optimization Problems 10

Course Outcomes: At the completion of this course, students will be able to: 1 Form mathematical model of optimization problems. 2 Distinguish between linear and nonlinear models. 3 Solve simple problems using Mathematica/MATLAB

Bibliography: Sr.No. Name of Book / Authors / Publishers Year of Publication/ Edition 1 “Practical Genetic Algorithms”, Haupt, R. L. and Haupt, S.E., John Wiley & Sons 1998 2 “Genetic Algorithm in Search, Optimization and Machine Learning”, Goldberg, 1989 D.E., Addison Wesley. 3 “Engineering Optimization”, Ranjan, Ganguli, University Press. 2011

Course Name : Communication Skills Course Code : SSM5021 Credits : 1.5 L T P : 1-0-4 Segment : 1-3

Total No. Tutorials-7 Total No. of Lab hours – 28 Course Objectives: The main objectives of this course are: 1. To enhance competence in communication skills: verbal and nonverbal. 2. To provide orientation in technical communication skills: spoken and written. 3. To sensitize students to attitude formation and behavioural skills.

Course Contents: Sr.No Course contents No. of Tutorials Introduction to Communication Skills, Soft Skills and Interpersonal 1 1. Communication 2. Speech: Structure, Elements, Content, Organization and Delivery, J-a-M 1 3. Writing Skills: Letters, Minutes of Meeting 1 4. Technical Report Writing: Concept and Structure 1 5. Research Writing: Concept and Structural Framework 1 6. Power Point Presentation: Project Presentation 1 7. Interviews 1

Lab Work: Sr.No Lab contents No. of Hours 1. Self- Introduction 2 2. Negotiation Skills & Role Play 2 3. J-a-M Session 2 4. Building Word Power through Reading 2 5. Group Discussion and Case Study 4 6. Writing Skills: Letters, Minutes of Meeting 2 7. Technical Report Writing: Concept & Structure 4 8. Research Writing: Concept and Structural Framework 4 9. Power Point Presentation: Project Presentation 4 10. Interviews 2

Course Outcomes: At the completion of this course, students will be able to: 1. Show enhanced competence in communication skills and technical communication. 2. Develop awareness of attitude formation and behavioural appropriateness 3. Gain self-confidence and perform better in their academic and professional life.

Bibliography: Year of Sr.No Name of Book/ Authors/ Publisher Publication/ Reprint “Technical Communication”, Raman Meenakshi and Sharma Sangeeta, 1. 2015 Oxford University Press. “English for Research Paper Writing”, Wallwork Adrian, Springer, 2. 2011 London. “English Vocabulary In Use: Advanced+ CD”, Michael McCarthy, 2004 3. CUP, Cambridge. 4. “Advanced English Grammar”, Hewings Martin, CUP, Cambridge. 2003 5. “Study Listening”, Tony Lynch, CUP, Cambridge. 2004 6. “Study Speaking”, Kenneth Anderson, CUP, Cambridge. 2010 7. “Study Reading”, Glendenning H. Eric, CUP, Cambridge. 2004 8. “Study Writing”, Hamp Lyons Liz & Heasley Ben, CUP, Cambridge. 2004 9. “Study Skills in English”, Wallace Michael J., CUP, Cambridge. 2004

MOOCs on this course are available at:

1) “Take Your English Communication Skills to the Next Level”. Available at Coursera (Offered by Georgia Institute of Technology), 4 weeks, Starts on September 10, 2018. https://www.coursera.org/learn/english-communication-capstone

2) “Effective Communication in Globalised Workplace- The Capstone”. Available at Coursera (Offered by National University of Singapore), 3 weeks, Starts on August 06, 2018. https://www.coursera.org/specializations/effective-communication

Course Name : Management Entrepreneurship and IPR Course Code : SSM5022 Credits : 1 L T P : 0-2-0 Segment : 4-5

Total No. Tutorials – 14 Course Objectives: The main objectives of this course are: 1. To make students familiar with the concepts of Management, Entrepreneurship and Intellectual Property Rights (IPRs). 2. To make students understand how to initiate a new Start-up and manage it effectively. 3. To enable students to convert their innovative ideas into different forms of IPRs.

Course Contents: Sr.No Course contents No. of Tutorials 1. Introduction to Management: Concepts and Principles of Management 1 Functions of Management: Planning Process - Hypothetical Planning of an Event/Activity, Form of Organization Structure - Case Study, Human Resource 2. 4 Planning and Process, Elements of Directing and Effective Control Mechanism, Activity: Role Playing/Management Game Introduction to Entrepreneurship: Concepts of Entrepreneurship and 3. 1 Characteristics of Entrepreneurs Development Phases of Entrepreneurship: Innovation and Idea Generation, 4. 2 Project Formulation and Validation (Feasibility Analysis), Business plan Ecosystem for Entrepreneurship Development: Government Schemes and Initiatives, Financial and Non-Financial Institutional Support, Legal 5. 2 Framework, Role of Incubator, Venture Capitalist, Angel Investor, Crowd Funding Accelerator etc. Intellectual Property Rights (IPRs): Concept and Relevance of IPRs, Process 6. 2 for filing IPR Different Forms of IPRs: Patents, Copyright, Trademarks, Industrial Designs 7. 2 and Geographic Indicator

Course Outcomes: At the completion of this course, students will be able to:

1. Develop and manage new project/Start-up. 2. Apply managerial skills for success of entrepreneurial/business venture. 3. Make effective use of IPR practices in their ventures.

Bibliography: Year of Sr.No Name of Book/ Authors/ Publisher Publication/ Reprint “Management Principles and Practice”, Srinivasan R. and Chunawalla 1. 2017 S.A., Himalaya Publishing House. 2. “Introduction to Management”, Schermerhorn John R. Jr. And 2016

Bachrach Daniel G., 13th Edition, Wiley Publications “Principles & Practice of Management”, Prasad L.M., 8th Edition, 3. 2015 Sultan Chand & Sons. “The New Era of Management”, Daft R.L., 11th Edition, Pubs: Cengage 4. 2014 Learning. “Case Studies in Management”, Pandey Chandra Akhilesh, 2nd Edition, 5. 2015 I.K. International Publishing House Pvt. Ltd. “Harvard Business Review: Manager’s Handbook”, Harvard Business 6. 2018 School Press. 7. “Entrepreneurship”, Trehan Alpana, Dreamtech Press. 2016 “Entrepreneurship and Small Business” Schaper Michael, Volery 8. Thierry, Weber Paull and Lewis Kate, 3rd Asia-Pacific Edition, Wiley 2018 Publications “Harvard Business Review: Entrepreneur’s Handbook”, 1st Edition, 2018 9. Harvard Business Review Press 2014 10. “Take Me Home”, Bansal Rashmi, 1st Edition, Westland.

“Intellectual Property Law”, Narayanan P., 3rd Edition, Eastern Law 2017 11. House

“Intellectual Property Rights”, Pandey Neeraj and Dharni Khushdeep, 2014 12. PHI Learning

“Intellectual Property Rights”, Rosedar S.R.A., LexisNexis (Quick

13. Reference Guide – Q&A Series) 2016

MSME Annual Publications (www.msme.gov.in) 14. Annual

WIPO Annual Publications (www.wipo.int) 15. Annual

MOOCs on this course are available at:

1) “Entrepreneurship: Do Your Venture”, Available at edx (Offered by IIM Bangalore), Self-Paced (6 weeks). https://www.edx.org/course/entrepreneurship-do-your-venture 2) “Becoming an Entrepreneur”, Available at edx (Offered by MIT), Self-Paced (6 weeks). https://www.edx.org/course/becoming-entrepreneur-mitx-launch-x-4 3) “How to Build a Start-up”, Available at Udacity, Self-Paced (One Month). https://in.udacity.com/course/how-to-build-a-startup--ep245 4) “Intellectual Property Rights: A Management Perspective, Available at edx (Offered by IIM Bangalore), Starts on 1 August 2018 (6 weeks). https://www.edx.org/intellectual-property-rights-a-management-perspective

Course Name : Professional Ethics Course Code : SSM5023 Credits : 0.5 L T P : 0-1-0 Segment : 6-6

Total No. Tutorials -7

Course Objectives: The main objectives of this course are: 1. To imbibe ethical values and understanding. 2. To develop moral thinking that will help students to recognize their potential. 3. To engage and motivate the students to perform ethically in their professional life.

Course Contents: Sr.No Course contents No. of Tutorials 1. Introduction to Ethics: Concept of Ethics – Nature, Scope, Sources, Types, 2 Functions and Factors influencing Ethics, Ethics in Engineering 2. Ethics in Profession: Concepts of Honesty, Integrity, Reliability, Risk, Safety 2 and Liability, Responsibilities and Rights of Professionals, Professional accountability. 3. Ethics and Business: Concept of Business Ethics – Nature and Objectives, 1 Ethical dilemmas in business ethics. 4. Self-Development: Concept of Self-Assessment – SWOT Analysis, Self- 2 Concepts, Self-Confidence, Self-Esteem, Managing Time and Stress, Human values.

Course Outcomes: At the completion of this course, students will be able to: 1. Demonstrate knowledge and better understanding of self and to manage time and stress effectively. 2. Have subjective well-being. 3. Have ethical decision making ability in their personal and professional life.

Bibliography: Year of Sr.No Name of Book/ Authors/ Publisher Publication/ Reprint “Professional Ethics”, Subramaniam R., 2nd Edition, Oxford 2017 1. University Press.

2. “Introduction to Psychology”, Kalat James W., 11th Edition, Cengage 2017 Learning. “Business Ethics – Text and Cases”, Murthy C.S.V., 1st Edition, 2014 3. Himalaya Publishing House.

4. “A Foundation Course in Human Values and Professional Ethics”, 2010 Gaur R.R., Sangal R. and Bagaria G.P., Excel Books. 8

“Issues and Ethics in the Helping Professions”, Corey G., Corey M.S. 2010 5. and Callanan P., 8th Edition, Brooks/Cole, Cengage Learning. “The Curse of Self: Self-awareness, Egotism and the Quality of 2007 6. Human Life”, Leary M.R., 1st Edition, Oxford University Press. “Business Ethics”, Hartman L.P. and Chatterjee A., 3rd Edition, Tata 2006 7. McGraw Hill. 8. “Business Ethics and Professional Values”, Rao A.B., Excel Books. 2006 “Business Ethics – Concepts and Cases”, Velasquez M.G., 5th Edition, 2001 9. Prentice Hall. “Theories of Personality”, Hall C.S., Lindzey D. and Cambell J.B., 1997 10. 4th Edition, Hamilton Printing Company.

MOOCs on this course are available at:

1) “Ethics in Engineering Practice”. Available at SWAYAM(Offered by IIT Kharagpur), 8 weeks, Starts on August 27, 2018. https://swayam.gov.in/courses/4799-july-2018-ethics-in-engineering-practice

2) “Ethics, Technology and Engineering”. Available at Coursera (Offered by EindhovenUniversity of Technology), 8 weeks, Starts on July 16, 2018. https://www.coursera.org/learn/ethics-technology-engineering

Course Name Advanced Communication System Course Code ECM5031 Credits 3 L T P 2-0-2 Segment 1-6 Total No. Lectures: 28 Total No. of Lab hrs. 14 Course Objectives: By the end of this course, the students should be able to  Explain the various advanced multiplexing techniques in a communication system.  To understand the basics and current technologies of mobile communication and realize the problems encountered in day today life encouraging him to find solutions hence with.  Study the fiber optical communication and explain the concepts of various latest technologies in the area of wireless optical communication and all optical processing.

Course Contents: Sr. Course contents No. of No. Lectures 1. Module-1 Advanced multiplexing techniques(Credit- 0.5) 7 Wavelength division multiplexing (WDM), Dense Wavelength division multiplexing (DWDM), Coarse DWDM, Orthogonal frequency division multiplexing (OFDM), Polarization division multiplexing (PDM),Spread Spectrum Overview: Direct sequence and frequency hopped spread spectrum, Code Division Multiple Access (CDMA), Wireless CDMA, Spectral efficiency of multiple access systems, Space Division Multiplexing 2. Module -2 Advanced wireless techniques (Credit- 0.5) 7 Wireless transmission: overview of GSM-architecture fading, diversity and equalisation,location tracking and call setup, roaming in wireless and mobile networks, Mobile communication channel models. 3G and 4G wireless standards (advanced LTE, Wi-Max etc.), Spectrum sharing, Dense user deployed small cells, Overview of mobile satellite communication, Development and differences between current standards(WLL, WLAN). 3. Module–3Advanced wired techniques (Credit- 0.5) 7 Ray optics representation, wave representation, Mode theory for circular waveguides, linearly polarized modes, power flow in fibers. Design concepts of:- Multiocre fibers- few mode fibers, bandgap structures-photonic crystal fibers (PCFs), halide glass fibers, Optical sensors and their applications etc., Overview of optics on chip/ photonics technology, Mid-infrared photonics, Microwave photonics 4. Module–4Latest technologies(Credit- 0.5) 7 Radio over fiber (ROF), Losses in FSO, Passive optical networks (PONs), All optical communication, Molecular communication, Vehicular communication, 5G wireless technology, Li-Fi.

Lab Work: Sr. Lab contents (Credit 1.0) No. of No. Hours 1. To analyse GSM architecture along with functionality of hardware 28 2. To estimate the handover facilities and handover success rate 3. To study optimization strategies to improve grade of service 4. To calculate and estimate EMF radiation, loss in leaky mode 5. Design and simulation of multimode optical communication system for Passive Optical Networks (PON).

6. Design and simulation of multimode optical communication system for Free Space Optics (FSO).

7. Design and modal analysis of different types of on chip optical waveguides 8. To analyse the advanced digital modulation techniques in time and frequency domain and their constellation view

Course Outcomes: Upon successful completion of this course, the enrolled students will be gaining the following knowledge, skills and competences: 1 Analyze the advanced multiplexing techniques in communication systems. 2 Explain the design of advanced wireless communication networks. 3 Study and investigate fiber optical circuits, devices and latest fiber optic technologies.

4 Upon successful completion of this course, the enrolled students will be gaining the following knowledge, skills and competences:

Bibliography: Sr. Year of Book Detail No. Publication 1. Taub and Schilling, “Principles of Communication systems”, McGraw Hill 2. Proakis, “Communication Systems”, 2nd Edition, Prentice Hall 3. Olivier Bouchet, “Wireless Optical Communications”, Wiley B.P. Lathi, “Modern Digital and analog communication systems”, Oxford 4. University Press Mynbaev,“Fiber-optics communication Technology”, Pearson Education 5. India Wireless Communications- Principles and Practice, Theodore S. Rappaport 6.

Course Name : WIRELESS SENSOR NETWORKS Course Code : ECM5041 Credits : 3.0 L T P : 3 0 0 Segment : 1-6 Total No. Lectures: 42 Course objectives:

At the end of this course, the students will be able to  Define various types of sensors.  Summarize WSNs, its architecture, design constraints and challenges.  Infer network management and security in WSNs.  Compose applications and future trends in WSNs. Course contents: Sr. Course contents No. of No. Lectures 1. Introduction of various sensors 14 Proximity sensor, humidity sensor, temperature sensor, pressure sensor, RFID sensor, accelerometer, hall sensor, satellite sensors, motion sensor, MEMS, optical sensors, biometric sensors, ultrasonic sensors, biomedical sensors, Gas sensors, Case study and project.. 2. Introduction to WSN 14 Design factors, WSN architecture, structure of sensor nodes, mobile sensor networks, clustering in WSN, theory of detection in WSN, types of WSN, WSN coverage and connectivity, WSN V/s Ad-hoc networks, Applications of WSNs: Military applications, Health Care Monitoring, Environmental Monitoring, Cognitive radio sensor networks, Smart Homes and Smart Buildings, Industrial applications, Case Study and Project 3. Factors influencing WSN design 7 Challenges and constraints, fault tolerance, scalability, production costs, WSN topologies, transmission media, power consumption. 4. Network management in WSN 7 Network management requirements and design issues, Localization, Time synchronization. Security in WSNs, energy harvesting WSNs, QoS management, Future trends in WSNs. Course Outcomes: Upon successful completion of this course, the enrolled students will be able to gain: 1. List various types of sensors. 2. Describe wireless sensor networks comprehensively. 3. Relate wireless sensor networks with various application areas. Bibliography: Sr. Year of Book Detail No. Publication 1. Fraden Jacob, Handbook of modern sensors: physics, designs and applications, 2015 Springer Science & Business Media, 2015. 2. Selmic, Rastko R., Vir V. Phoha, and Abdul Serwadda, Wireless Sensor 2016 Networks: Security, Coverage, and Localization, Springer, 2016. 3. Fischione, Carlo, An introduction to wireless sensor networks, Swedish 2014 Communication Technologies Workshop, 2014. 4. Akyildiz, Ian F., and Mehmet Can Vuran, Wireless sensor networks, John 2010 Wiley & Sons, 2010. 5. Research and Review papers in specific area. 12

Course Name : MICROCONTROLLER BASED SYSTEMS Course Code : ECM5301 Credits : 1.5 L T P : 2-0-2 Segment : 1-3 Total No. of Lectures: 14 Total No. of Labs: 14 Course Objectives:

The students after attending this course will be able to  Describe architecture and functioning of PIC microcontrollers.  Learn C programming for PIC microcontroller.  Interface support devices

Sr. No. Course Content No. of Lectures

PIC MICROCONTROLLER (Credit 0.5) 7 1 Introduction to PIC18F family of microcontroller, CPU, Architecture, pin configuration, pipelining ,memory organization, registers, addressing modes, timers, Interrupts, I/O ports, ‘C’ Programming for PIC controller. 2 PERIPHERAL OF PIC MICROCONTROLLER (Credit 0.5) 7 A/D converter, UART, MSSP, CCP module, Sensor Interfacing, Interfacing with LED, Switches, LCD, Key pad, ‘C’ Programming for PIC controller. Lab Work: Sr. Lab contents (Credit 0.5) No. of No. Hours 1. Experiments based on flowcode & MPLAB for interfacing LEDs, 7 segment 14 display, LCD, Graphical LCD, keypad and motor driver.

Course Outcomes: Upon successful completion of this course, the students will be able to: 1. Design & implementation of PIC microcontrollers based systems. 2. Interface peripheral devices with PIC controller. 3. Learn Programming of PIC microcontroller with MPLAB & flow code.

Bibliography:

Year of Sr. Name of Book/ Authors/ Publisher Publication/ No. Reprint

PIC Microcontroller & Embedded Systems-using assembly and C for PIC 18 Latest Edition 1. by Muhammand Ali Mazidi, R.D Mckinlay & Danny Causey, Pearson Education 2. Embedded Microcontroller by Todd D. Mortan, Pearson Education Latest Edition

Course Name : Semiconductor Device Modelling Course Code : ECM5302 Credits : 1.5 L T P : 2 0 2 Segment : 1-3

Total No. Lectures:-14 Total No. of Labs: 14

Course Objectives:

 To provide adequate understanding of semiconductor device modelling aspects, useful for designing devices in electronic, and optoelectronic applications.

Course Contents: No. of Sr. No. Course Contents: hrs 1 Module-1 Introduction to Numerical Modeling: (Credit- 0.5) 7 Review of semiconductor equations (Poisson, continuity, drift-diffusion, trap rate). Finite difference formulation of these equations in 1D and 2D. Grid generation; Physical/empirical models of semiconductor parameters (mobility, lifetime, band gap, etc.) 2 Module -2 Quantum Physics Aspects of Device Modeling (Credit- 0.5) 7 Effective mass Schrödinger equation, Matrix representation, Dirac notation, WKB Approximation, Time dependent and independent perturbation theories, Fermi’s golden rule, semiclassical transport in semiconductors: Boltzmann transport equation, numerical scheme, Introduction to Monte Carlo simulations

Lab Work: Sr. Lab contents (Credit 0.5) No. of No. Hours 1. Device Modelling And Simulation Lab (Credit- 0.5)Modelling and simulation for 14 computation of characteristics of simple devices (p-n junction, MOS capacitor, MOSFET, etc.) using softwares such as SILVACO TCAD.

Course Outcomes Upon successful completion of this course, the enrolled students will be gaining the following knowledge, skills and competences: 1 An in-depth knowledge of numerical modelling techniques 2 Device design and simulation

Bibliography:

Year of Sr. Name of Book/ Authors/ Publisher Publication/ No. Reprint

1 Selberherr, S., Analysis and Simulation of Semiconductor Devices, Springer- 1984 Verlag 14

2 Arora, N., MOSFET Models for VLSI Circuit Simulation, Springer-Verlag 1993

C.M. Snowden, and, E. Snowden, Introduction to Semiconductor Device 1998. 3 Modeling, World-Scientific

W.J. McCalla, Fundamentals of Computer-Aided Circuit Simulation, Kluwer 1987 4 Academic

5 Leonard I. Schiff, Quantum Mechanics, Third Edn.,Tata Mc-Graw-Hill 2010

6 Research and Review papers in specific area

Course Name : Thin Film Deposition and Device Fabrication-I Course Code : ECM5303 Credits : 1.5 L T P : 3 0 0 Segment : 1-3

Total No. Lectures:-21

Course Objectives:

To provide knowledge of various material deposition techniques and electronic/VLSI device fabrication technologies.

Course Contents: No of hrs Module-1 Thin Film Deposition (Credit- 1.0) 14 Epitaxy and Thin Film Deposition, Film growth: PVD Processes Evaporation (Thermal and ebeam), Chemical Growth Fundamentals of CVD growth Processes, Modern variants: MOCVD, PECVD and ALD Spin Coating. Module -2 Lithography and Etching Techniques (Credit- 0.5) 7 Optical lithography, resolution and depth of focus, resist processing methods and resolution enhancement, advanced lithography techniques for nanoscale pattering

Course Outcomes Upon successful completion of this course, the enrolled students will be gaining the following knowledge, skills and competences: 1 An in-depth knowledge of thin film deposition techniques 2 Understand operation of different fabrication tools and etching techniques

Bibliography:

Year of Sr. Name of Book/ Authors/ Publisher Publication/ No. Reprint

1 Sze, S.M., “VLSI Technology”, 4th Ed., Tata McGraw-Hill 1999

2 Chang, C.Y. and Sze, S.M., “ULSI Technology”, McGraw-Hill 1996

3 Gandhi, S. K., “VLSI Fabrication Principles: Silicon and Gallium Arsenide”, 2003 John Wiley and Sons 4 Campbell, S.A., “The Science and Engineering of Microelectronic 1996 Fabrication”, 4th Ed., Oxford University Press 5 Research and Review papers in specific area

Course Name : Analog VLSI Circuit Design Course Code : ECM5304 Credits : 1.5 L T P : 3 0 0 Segment : 1-3

Total No. Lectures:-21

Course Objectives:

 To acquaint the students with basic CMOS analog building blocks and sub-system design.

Course Contents: Sr. Course Contents: No of No. hrs 1 Module-1 Introduction to CMOS (Credit- 0.5) 7 Basic MOS models, device capacitances, parasitic resistances, substrate models, transconductance, output resistance, frequency dependence of device parameters, Common source amplifier, source degeneration, source follower, common gate amplifier, cascade stage, Types of Noise, CMOS Process Technology, Layout and Packaging 2 Module -2 Amplifiers (Credit- 0.5) 7 Basic Concepts, Common Source Stage with different types of load, Source follower, Common Gate, Cascode Stage, Differential Amplifiers, common mode response, Differential pair with MOS loads, Gilbert Cell, device mismatch effects, input offset voltage. Biasing Circuit , Active and Passive Current Mirror 3 Module 3 - Frequency Response of Amplifier and Feedback (Credit- 0.5) 7 Miller effect, CS amplifier, source follower, CG amplifier, cascade stage, differential amplifier, Multistage amplifier. Feedback topologies, Effect of load, modelling input and output ports in feedback circuits.

Course Outcomes Upon successful completion of this course, the enrolled students will be gaining the following knowledge, skills and competences: 1 In-depth knowledge of analog circuit design

2 Design and analyse different types of CMOS Opamps

Bibliography:

Year of Sr. Name of Book/ Authors/ Publisher Publication/ No. Reprint

1 Design of Analog CMOS Integrated Circuits” by Behzad Razavi, McGraw 2000 Hill Education 2 CMOS Analog Circuit Design” by Phillip Allen and Douglas R. Holberg, 2011 OUP USA; 3rd Edition

3 Analysis And Design of Analog Integrated Circuit” by Paul R. Gray, Paul J. 2009 Hurst , Stephen H. Lewis , Robert G. Meyer , 5th Edition, Wiley 4 Operation and Modeling of the MOS Transistor” by Yannis Tsividis, Oxford June 26, 2003 University Press; 2 edition 5 Microelectronic Circuits-Theory & Applications” by A.S. Sedra and K.C. 2013 Smith, Adapted by A.N. Chandorkar, 6th Edition, Oxford 6 Research and Review papers in specific area

Course Name : Coding Theory and Application Course Code : ECM5305 Credits : 1.5 L T P : 3 0 0 Segment : 1-3 Total No. Lectures:-21 Course Objectives:

 To provide an in-depth study of the design of good forward error correction codes and their efficient decoding.

Course Contents: Sr. No. Course Contents No of hrs 1 Module-1 Introduction to Error Detection And Correction Techniques (Credit- 0.5) 7 Introduction to forward error correction and reliable information transmission; discrete communication channels and Shannon’s theorems, channel capacity, channel coding, information capacity theorem, Matrix description of linear block codes, equivalent codes, parity check matrix, decoding of a linear block code, perfect codes, Hamming codes. 2 Module 2 - Cyclic Codes and BCH codes (Credit- 0.5) 7 Polynomial and matrix description of Cyclic Codes, encoding, decoding; Hamming code and Golay code; Shortened and quasicyclic codes; Error trapping decoding; Binary primitive BCH codes, Berlekamp’s iterative algorithm for BCH decoding, decoder implementation; Non-binary BCH and Reed- Solomon (R-S) codes, decoding of R-S codes by Berlekamp’s algorithm; Frequency domain representation and decoding of R-S codes. 3 Module 3 - Convolutional Code (Credit- 0.5) 7 Tree codes, trellis codes, polynomial description of convolutional codes, distance notions for convolutional codes, the generating function, matrix representation of convolutional codes, decoding of convolutional codes, distance and performance bounds for convolutional codes, examples of convolutional codes, Turbo codes, Turbo decoding

Course Outcomes Upon successful completion of this course, the enrolled students will be gaining the following knowledge, skills and competences: 1 An in-depth knowledge of various error detection and correction techniques 2 Device design and simulation

Bibliography:

Year of Sr. Name of Book/ Authors/ Publisher Publication/ No. Reprint

1 Lin, S. and Costello Jr., D.J., “Error Control Coding”, 2nd Ed., Pearson 2004 Prentice-Hall 2 Blahut, R.E., “Algebraic Codes for Data Transmission”, 2nd Ed., Cambridge 2003 University Press 19

3 Vucetic, B. and Yuan, J., “Turbo Codes: Principles and Applications”, 2000 Springer 4 McEliece, R., “Theory of Information and Coding”, 2nd Ed., Cambridge 2002 University Press 5 Huffman, W.C. and Pless, V., “Fundamentals of Error Correcting Codes”, 2003 Cambridge University Press 6 Moon, T.K., “Error Correction Coding: Mathematical Methods and 2005 Algorithms”, Wiley Interscience 7 Research and Review papers in specific area

Course Name : Digital VLSI Circuit Design Course Code : ECM5401 Credits : 1.5 L T P : 2 0 2 Segment : 4-6

Total No. Lectures:-14 Total No. of Labs: 14 Course Objectives:

 To acquaint the students with the fundamental concepts of digital VLSI circuit design. Course Contents: Sr. Course Contents No of No. hrs 1 Module-1 MOSFET operation and CMOS process flow:: (Credit- 0.5) 7 MOS Threshold voltage, MOSFET I-V characteristics: Long and short channel, MOSFET capacitances, lumped and distributed RC model for interconnects, transmission lines, CMOS process flow, Layout and design rules. 2 Module -2* Combinational Logic Circuit (Credit- 0.5) 7 Transistor sizing in static CMOS logic gates, static CMOS logic gate sizing considering method of logical effort, dynamic logic, pass-transistor logic, common mode and other cross-coupled logic families. Building Block, Multiplexer, De multiplexer, Decoder , Encoder, Code Converters 3 Module 3* Sequential Logic Circuit (Credit- 0.5) 7 Static latches and flip-flops (FFs), dynamic latches and FFs, sense-amplifier based FFs, NORA-CMOS, Schmitt trigger, monostable and astable circuits, Basic Design Step, Melay state Model, Design of FSM. * Students can opt any one module (module 2 or module 3) Lab Work: Sr. Lab contents (Credit 0.5) No. of No. Hrs Digital1. VLSI Circuit Simulation Lab (Credit- 0.5) 14 Simulation of of Combinational and sequential circuits using Verilog on FPGA kit and testing using Test Bench.

Course Outcomes Upon successful completion of this course, the enrolled students will be gaining the following knowledge, skills and competences: 1 An in-depth knowledge of combinational circuit, sequential circuit and memories 2 Device design and simulation of different circuits in Verilog HDL language.

Bibliography:

Year of Sr. Name of Book/ Authors/ Publisher Publication/ No. Reprint

1 Jan M. Rabaey, Anantha Chandrakasan, Borivoje Nikolic, “Digital Integrated 2003 Circuits: A Design Perspective,” Prentics Hall

2 Sung-Mo Kang, Yusuf Liblebici, “CMOS Digital Integrated Circuits,” Tata 2003 Mc Graw Hill 3 R. Jacob Baker, “CMOS Mixed-Signal Circuit Design,” Wiley India Pvt. Ltd 2009

4 Ivan Sutherland, R. Sproull and D. Harris, “Logical Effort: Designing Fast 1999 CMOS Circuits”, Morgan Kaufmann 5 Samir Palnitkar, “Verilog HDL” Pearson Education 2nd Edition 2003

6 Research and Review papers in specific area.

Course Name : Nanoelectronic Devices Course Code : ECM5402 Credits : 1.5 L T P : 3 0 0 Segment : 4-6

Total No. Lectures:-21

Course Objectives:

 To provide knowledge of device physics/operation, technologies and issues in nanoscale CMOS, other emerging devices and futuristic material based interconnects such GNRs, CNTs

Course Contents: No of hrs Module-1 Shrink-down Approaches (Credit- 0.5)Introduction, CMOS scaling, leakage control 7 and reduction techniques, nanoscale MOSFET, FinFETS, Vertical MOSFETs. system integration limits (interconnect issues etc.) Module -2 Emerging Nanoelectronic Devices (Credit- 0.5)Si and hetero-structure nanowire 7 MOSFETs, carbon nanotube MOSFETs, Tunnel FET, quantum wells, quantum wires and quantum dots, Resonant tunneling devices, Single electron transistors Module -3 Emerging Interconnects (Credit- 0.5)Optical interconnects, Superconducting 7 interconnects, Nanotechnology interconnects, Silicon nanowires, Carbon nanotube (CNT) and Graphene nanoribbon (GNR) interconnects, performance comparison of CNTs, GNRs and copper interconnects

Course Outcomes Upon successful completion of this course, the enrolled students will be gaining the following knowledge, skills and competences: 1 An in-depth knowledge of CMOS Scaling. 2 Futuristic material based interconnects such GNRs, CNTs Bibliography:

Year of Sr. Name of Book/ Authors/ Publisher Publicatio No. n/ Reprint

1 Philip Wong H. S. and Akinwande Dej, “Carbon nanotube and Graphene Device 2011 Physics”, Cambridge University Press 2 Diamand Y. S., “Advanced Nanoscale ULSI Interconnects: Fundamentals and 2009 Applications”, Springer 3 Lundstrom, M., “Nanoscale Transport: Device Physics, Modeling, and Simulation”, 2005 Springer 4 Wong, B. P., Mittal, A., Cao Y. and Starr, G., “Nano-CMOS Circuit and Physical 2004 Design”, Wiley 5 Kundu S., and Sreedhar A. “Nanoscale CMOS VLSI Circuits: Design for 2010 Manufacturability” McGraw Hill 6 Research and Review papers in specific area

Course Name : Thin Film Deposition and Device Fabrication-II Course Code : ECM5403 Credits : 1.5 L T P : 3 0 0 Segment : 4-6

Total No. Lectures:-21

Course Objectives:

To provide knowledge of various material deposition techniques and electronic/VLSI device fabrication technologies.

Course Contents: Module–1 Etching Techniques (Credit- 0.5) 7 Wet etching, selectivity, isotropy and etch bias, common wet etchants, orientation dependent etching effects; Introduction to plasma technology, plasma etch mechanisms, selectivity and profile control plasma etch chemistries for various films, plasma etch systems. Module– 2 Characterisation Techniques (Credit- 1.0) 14 Morphological characterisation: Raman, XRD, SEM, AFM; Electrical Characterisation: Electrical measurement techniques, two probe and four probe measurement technique; RF characterisation

Bibliography:

Year of Sr. Name of Book/ Authors/ Publisher Publicatio No. n/ Reprint

1 Sze, S.M., “VLSI Technology”, 4th Ed., Tata McGraw-Hill 1999

2 Chang, C.Y. and Sze, S.M., “ULSI Technology”, McGraw-Hill 1996

3 Gandhi, S. K., “VLSI Fabrication Principles: Silicon and Gallium Arsenide”, John 2003 Wiley and Sons 4 Campbell, S.A., “The Science and Engineering of Microelectronic Fabrication”, 4th 1996 Ed., Oxford University Press 5 Research and Review papers in specific area

Course Name : EMBEDDED SYSTEMS Course Code : ECM5404 L T P : 2-0-2 Credits : 1.5 Segment : 4-6 Total No. of Lectures – 14 Total No. of Labs: 14 Course Objectives:  The students after attending this course will be able to  Describe architecting ARM Processors.  Define concepts of Embedded System & RTOS.

Course Contents:

Sr. No. Course Contents No. of Lectures

Module-1: INTRODUCTION TO EMBEDDED SYSTEMS: 7 Embedded Systems Overview, Requirements & Specification, Hardware & 1 Software Components, Types of Hardware Platforms, ARM Processor, Architecture & Interfacing. 2 Module-2: EMBEDDED SOFTWARE: 7 Real Time Systems, Multitasking, Characteristics of Embedded software, Tasks & Task Schedule, Scheduling algorithms, Semaphores, Mutex, Overview of off the shelf, Real Time Operating Systems- VxWorks, RT Linux.

Lab Work: Sr. Lab contents (Credit 0.5) No. of No. Hrs 1 Experiments based on Programming of ARM Processor using KEIL & FLOWCODE. 14 Interfacing of ARM Processor with LED, LCD, 7 Segment display & Keyboard.

Course Outcomes: After attending this course students will be able to 1 Learn the architecture and programming of ARM Processor. 2 Know Interfacing of peripheral devices with these ARM Processor. 3 Know fundamentals & requirements of Embedded System Software & RTOS

Bibliography:

Year of Sr. Name of Book/ Authors/ Publisher Publication/ No. Reprint 1. Fundamentals of Embedded software by Danial W. Lewis, PHI Latest edition 2 ARM Reference Manual 3 NPTEL Videos on embedded systems by Prof. Shantanu Chaudhary 4 Introduction to Embedded Systems by Shibu K.V (MC Graw Hill) 2nd Edition 5 Architecture, Programming & Design by Raj Kamal (MC Graw Hill) 2nd Edition

Course Name : NEURAL NETWORKS Course Code : ECO5001 Credits : 1.5 L T P : 3 0 0 Segment : 1-3 Total No. of Lectures: 21 Course objectives: The goals of this course are  To introduce some of the fundamental techniques and principles of neural computation.  Basic neural network models, single and multilayer perceptron.  To investigate some associative Networks  To investigate some networks based on competition

Course contents: Sr. Course contents No of hrs. No. Introduction to neural networks: Introduction to artificial neural networks, biological neural networks, 1 comparison between biological and artificial Neural Networks, terminology and 7 various architectures of Neural Networks, History of Neural Networks, MC Culloch-Pitt Neuron model, various Activation functions. Pattern Classification: Hebbnet, Biases and threshold, Linear separability, Perceptron, Adaline and 2 7 Madaline. Architecture, training algorithms and application algorithms of these networks. Pattern Association: Architecture, Training and application Algorithms for Pattern Association 3 networks, Heteroassociative Memory Neural Network, Auto associative Net, 7 Iterative Auto associative Net, Discrete Hopfield Network, Bidirectional Associative Memory.

Course outcomes: Upon successful completion of this course, the enrolled students will be gaining the following knowledge, skills and competences 1 Apply neural networks to pattern classification. 2 Apply neural networks to pattern recognition. 3 Exposed to the concepts of feed forward neural networks. 4 Adequate knowledge about feedback neural networks.

Bibliography: S. No. Name of the book/authors/ publisher Year of publication/reprint 1 Fundamentals of Neural Networks, Laurence Dausett, Pearson Education 2006 2 Neural networks and Fuzzy Logic, K Vinoth Kumar,R. Saravana Kumar, 2012 Katson Books 3 Neural Networks and machine learning, Haykin, Pearson Education 2008 4 Neural Networks, Satish Kumar, TMH 2012

Course Name : APPLICATIONS OF NEURAL NETWORKS Course Code : ECO5002 Credits : 1.5 L T P : 3 0 0 Segment : 4-6 Total No. of Lectures: 21

Course objectives: The goals of this course are  To introduce some of neural networks based on competition.  To introduce adaptive neural network models.  To investigate networks based on gradient descent rules.  To investigate some special networks and their applications

Course contents: Sr. Course contents No of No. hrs. 1 Neural Networks Based On Competition: Maxnet, Mexican Hat, Hamming 7 Net, Kohonen Self Organizing Maps, Learning Vector Quantization, Full and Forward Counterpropagation. Application based on these networks. Use of Counterpropagation net for a mathematical function. 2 Adaptive and Backpropagation networks: Adaptive Resonance Theory: 7 Introduction, architecture, algorithm and application of ART1. Backpropagation neural net, architecture, algorithm, variations, applications, derivation of learning rules. Applications based on backpropagation neural net. 3 Fixed Weight Networks: Fixed-Weight Nets for Constrained Optimization, 7 Neural Net approach to Constrained Optimization, Boltzmann Machine: architecture, algorithm, Travelling Salesman Problem. Examples based on Boltzmann Machine.

Course outcomes: Upon successful completion of this course, the enrolled students will be gaining the following knowledge, skills and competences 1 Apply neural networks to generate functions. 2 Solve complex problems using multilayered neural networks. 3 Solving some problems using fixed weight neural networks.

Bibliography: Sr. Name of the book/authors/ publisher Year of No. publication/reprint 1 Fundamentals of Neural Networks, Laurence Dausett, Pearson 2006 Education 2 Neural networks and Fuzzy Logic, K Vinoth Kumar,R. Saravana 2012 Kumar, Katson Books 3 Neural Networks and machine learning, Haykin, Pearson Education 2008 4 Neural Networks, Satish Kumar, TMH 2012