INFORMATION HAND BOOK January – May 2021

CCE-PROFICIENCE INDIAN INSTITUTE OF SCIENCE, BENGALURU 560012

CONTENTS

Page Particulars No. Introduction 4 Instructions 6 Course Schedule 8 Fee Structure 9 Performa for Certificate 43 REGULAR COURSES Sl. Name of the Online Course Credit No. 1. Innovative Product Development and Design Methods (Mon) (6 pm – 8 pm) 2+0

2. Graph Analytics: Algorithms and Applications (Mon) (6 pm – 8 pm) 2+0 3. Augmented and Virtual Reality (Tue) (6 pm – 8 pm) 2+0 4. Service Design Thinking (Tue) (6 pm – 8 pm) 2+0 5. Laboratory Animal Management (Tue) (6 pm – 8 pm) 2+0 6. Data-Driven Modelling and Optimization (Tue-Thur) (6 pm – 7.30 pm) 3+0 7. High-Performance Computing and Data Science (Tue-Thur)(6 pm–7.30 pm) 3+0 8. Preclinical Drug Research: Regulatory Perspectives (Wed) (6 pm – 8 pm) 2+0 9. Vibration and Noise: Theory and Practice (Wed) (6 pm – 8 pm) 2+0 10. Probability Foundations for Machine Learning (Fri) (6 pm – 8 pm) 2+0 11. Analysis and Design of Composite Structures (Fri) (6 pm-8pm) 2+0 12. Fundamentals of – Design as a Decision-Making Approach (Fri)(6 pm-8pm) 2+0 13. Basics of Data Analytics (Sat) (10 am – 12 noon) 2+0 14. Mathematical Foundations for Machine Learning (Sat) (10 am – 12 noon) 2+0 15. Mathematics for Machine Learning (Sat) (2 pm – 5 pm) 3+0 16. Reinforcement Learning (Sat) (10 am – 1pm) 3+0 17. Machine Learning: Theory and Practice (Sat) (10 am – 1pm) 3+0 18. Structural Analysis and Design Optimization: Theory and Practice (Sat) (12 pm – 2 pm) 2+0 19. Start-up Tools (SuT), (Sat) (1 pm – 4 pm) 3+0 Business Analytics with Management Science Models and Methods 20. 3+0 (Sat) (1 pm – 4 pm) 21. Combinational Algorithms from the Indic Tradition (Sat) (10 am – 12 noon) 2+0

22. Basics of Machine Learning (Sat) (2 pm – 4 pm) 2+0 23. Embedded Systems and IoT Sensors Applications (Sat) (2 pm – 4 pm) 2+0 24. Social and Information Network Analysis (Sun) (10 am – 1 pm) 3+0 Structural Dynamics in Earthquake and Blast Resistant Design (Tue-Thu) (6 pm – 7.30 25. 3+0 pm) 26. Contemporary Social Environment (Tue) (6 pm – 8 pm) 2+0 27. Contemporary Economic Environment (Wed) (6 pm – 8 pm) 2+0

INTRODUCTION

Indian Institute of Science (IISc) established in 1909, is a Deemed University and Centrally Funder Technical Institution under the Department of Higher Education, Ministry of Human Resources Development, Government of India. Rapid strides in science and technology make it imperative that the education of professionals be continued over their entire career rather than be confined to a single stretch. What is needed is a complete integration of education with work during their productive life span, which will be adequate to help them cope with new demands. Continuing Education embraces all the processes of education that one undergoes throughout a working life and which have a relevance to the practical problems likely to be encountered in one‟s career. It may be realized through formal and informal modes of teaching, or through mass media. In recent years, there has been a growing awareness on the part of Universities that imparting knowledge to people beyond their boundaries is an equally important part of their service to the community. With this broad perspective of their function in society, Universities have begun to seek ways of reaching out to professionals. The IISc has evolved several mechanisms to make the expertise and facilities available to qualified technical people in industries, Universities and research establishments. The need for forging links between academic institutions and industries and R&D organizations has been a goal set for the IISc by its illustrious founder, J.N. Tata. CCE- PROFICIENCE was established with the objective of providing a sustained and rigorous continuing education program offering courses on subjects of topical interest to scientists and engineers in and around Bangalore. This program, believed to be the first of its kind in the country, is a joint venture between IISc and several Professional Institutions/Societies in Bangalore. The program name signifies the coming together of Professional Institutions and the Indian Institute of Science. It was started on an experimental basis in 1980 and has proved to be extremely popular and has attracted wide attention in academic and professional circles. The demand for some courses, especially on computers, microprocessors and management is so overwhelming that it has not been possible to admit all the Eligible applicants. Every year, there has been a steady increase in the number of students as well as the types of courses offered indicative of the growing popularity of this Program. IISc is the custodian of the academic standards of all CCE-PROFICIENCE courses. It has the responsibility of evolving appropriate teaching norms, providing the venue and facilities for conducting courses, organizing the tests and examinations and issuing certificates to the successful participants. These tasks are coordinated by the Centre for Continuing Education (CCE).

COURSES

Continuing education program organized under CCE-PROFICIENCE offers semester long courses in areas of topical interest. The courses are organized during evening hours so that working professionals can participate without getting their normal work affected. All courses are normally at the postgraduate level and many of these are in fact offered to the IISc students regularly. Participants in certain selected courses are provided practical training in computer and other laboratories, as appropriate. The course contents are regularly upgraded on the basis of feedback from the faculty and the participants. Courses are offered during the period AUG-DEC and JAN-MAY and around 15-20 courses are scheduled during each semester. Each course has lectures at the rate of two or three hours per week depending upon the number of course credits. Tests and examinations are conducted according to the IISc norms. A series of courses leading to different specializations are offered in a sequential

manner, especially in the area of Computer Science and Engineering. This would enable the participants who start with the entry level courses progress towards more advanced ones and specialize in one of the streams.

EVALUATION

The total marks for assessment will be equally distributed between the seasonal work and end semester examination. The seasonal work consists of class tests, mid semester examination, and homework assignments etc. as determined by the instructor. The participants who maintain a minimum of 75% attendance both in the theory and computer/laboratory classes will be evaluated based on the combined performance in the end semester examination and seasonal work and assigned a letter grade.

NO RE-EXAMINATION SHALL BE CONDUCTED UNDER ANY CIR CUMSTANCES.

The letter grades carry a 10 point grading assessment as indicated below

Grade: A+ A B+ B C D F (Fail) Grade Points: 10 9 8 7 6 5 0

CERTIFICATES

Certificates will be issued only to those who get at least a „D‟ grade. Attendance certificates shall not be issued to anyone. This being a continuing education program meant especially for self-improvement, the credits accumulated cannot be equated with the credits earned through formal education. There shall be no claims for CCE-PROFICIENCE credits being counted towards partial fulfillment of credit requirements towards any degree/diploma or other formal recognitions offered by IISc.

Formal Course completion certificates will not be issued under any circumstances to any candidate.

FACULTY

The instructors for the courses are mostly Institute Faculty. However, competent professionals from other R&D organizations and industries are also involved in teaching some of the courses.

REGULAR COURSES

Computer Lab: A Computer Laboratory with adequate computer machines and a Silicon Graphics work station with a variety of latest software have been set up for the CCEPROFICIENCE program. All these machines have been locally networked. A good collection of video cassettes pertaining to several courses is also available for viewing at the Centre for the participants.

Library: CCE-PROFICIENCE participants can avail of the facility of IISc Main Library and they can also make use of the books in CCE. The books at both the IISc Main Library and CCE are meant only for reference. The participants can avail of this facility by producing their ID card issued by CCE-PROFICIENCE.

Timings: IISc. Library – 8.00 am - 9.00 pm

INSTRUCTIONS

HOW TO APPLY:

Details of the courses are available online at cce.iisc.ernet.in and also download CCE App from Google Playstore. Essential Qualification for any course is a degree in Engineering or a postgraduate degree in Science/Humanities as applicable with pre-requisites. Each participant will be admitted for a Maximum of Two Courses. Applying to courses is strictly through online portal of CCE. Please read all the instructions provided at our portal before applying. Payment of course fee is through payment gateway provided at our online portal and no other means of payment is accepted. The course fee is Rs. 5000/- per credit and registration fee is Rs. 300/- per course. Any other gateway charges must be borne by participant during online payment. For each application, participants must upload (BE, B.Tech / Post Graduation) Convocation/Degree Certificate without fail. (Class conducted: Week days 6 pm. to 8 pm) & (Saturday‟s 10 am to 1 pm & 2 pm to 4 pm)

FEES

The course fee is Rs. 5000/= per credit. Some of the courses include a limited exposure to computer operation and programming / Lab Fee (C). The additional fees of this are Rs. 5,000/- The course fee and laboratory fee should be paid in full at the time of joining the course.

REFUND OF COURSE FEE

Refund of course fee will not be made, unless the course is withdrawn officially, in which case, the course fee paid will be refunded in full. Application registration fee once paid will NOT BE REFUNDED under any circumstance. Refund of fees in case of dropped courses will take minimum 3-4 weeks.

CLASSES

Classes will be held in the Lecture Hall Complex of IISc. Lectures will be between 6.00 p.m. and 8.00 p.m. Monday through Friday and between 10 a.m. to 1 p.m. and 2pm to 4 pm on Saturday‟s

LABORATORY CLASSES

The timings and days for laboratory classes will be fixed in the second week of the respective months (August & January) after the complete registration is known. This will be done, keeping in view the convenience of the faculty and all the students of the courses with laboratory component.

RESULTS

Results of the courses will be announced normally around 1st week of January for August- December term and 1st week of May for January-May term. Certificates will be issued on or after the date of announcement of results and against surrendering the Identity Card.

IDENTITY CARD

Participants will be issued identity cards which should be shown on demand. The participants who have successfully completed should surrender the ID card at the time of receiving certificate, failing which the certificate(s) will not be issued to her/him. Police authorized by lodging and compliant and then request the Section Officer, CCE to issue duplicate ID during submitting police compliant and Rs.100/- on penalty In the event of loss of identity card, the matter should be immediately reported to the Officer-in-Charge, CCE-PROFICIENCE in writing.

NO REQUEST FOR CHANGE OF EITHER THE STIPULATED DATES, MODE OF PAYMENT, CHANGE OF COURSE OR SUBMISSION/VERIFICATION OF ENCLOSURE TO APPLICATION ETC., WILL BE ENTERTAINED UNDER ANY CIRCUMSTANCE

Online Course for January – May 2021 Schedule Sl. Name of the Course Credit Faculty Department No. Dr. J E Diwakar (Retd.) Innovative Product Development and Design Methods & 1. 2+0 CPDM & NID R&D (Mon) (6 pm – 8 pm) Prof. P. Achutha Rao Campus (Retd.) 2. Graph Analytics: Algorithms and Applications (Mon) (6 pm – 8 pm) 2+0 Prof. Y N Srikant CSA

3. Augmented and Virtual Reality (Tue) (6 pm – 8 pm) 2+0 Dr. Pradipta Biswas CPDM Dr. J E Diwakar (Retd.), Prof. P. Achutha Rao 4. Service Design Thinking (Tue) (6 pm – 8 pm) 2+0 CPDM, NID R&D (Retd.) & Prof. T V P Campus & CST Chowdry CAF 5. Laboratory Animal Management (Tue) (6 pm – 8 pm) 2+0 Dr. Ramachandra S G CDS 6. Data-Driven Modelling and Optimization (Tue-Thur) (6 pm – 7.30 pm) 3+0 Dr. Deepak N Subramani

High-Performance Computing and Data Science Prof. Sashikumar CDS 7. 3+0 (Tue-Thur) (6 pm – 7.30 pm) Ganesan CAF 8. Preclinical Drug Research: Regulatory Perspectives (Wed) (6 pm – 8 pm) 2+0 Dr. Ramachandra S G

9. Vibration and Noise: Theory and Practice (Wed) (6 pm – 8 pm) 2+0 Dr. S B Kandagal AE Mr. M Krishna Kumar, DESE & NIT, 10. Probability Foundations for Machine Learning (Fri) (6 pm – 8 pm) 2+0 (Retd). Dr. Ashok Rao, Surathkal & Dr. Arulalan Rajan 11. Analysis and Design of Composite Structures (Fri) (6 pm-8pm) 2+0 Dr. G Narayana Naik AE Fundamentals of – Design as a Decision-Making Approach 12. 2+0 Prof. Vishal Singh (Fri)(6 pm – 8 pm) CPDM Dr. Gopal Krishna Fiserv India Ltd., 13. Basics of Data Analytics (Sat) (10 am – 12 noon) 2+0 Sharma,& & Civil Engg. Prof. M Sekhar Mr. M Krishna Kumar, DESE & NIT, 14. Mathematical Foundations for Machine Learning (Sat) (10 am – 12 noon) 2+0 (Retd), Dr.Ashok Rao & Surathkal. Dr. Arulalan Rajan Prof. Kunal Narayan 15. Mathematics for Machine Learning (Sat) (2 pm – 5 pm) 3+0 EE Chaudhury 16. Reinforcement Learning (Sat) (10 am – 1pm) 3+0 Prof. Shalabh Bhatnagar CSA Prof. M Narasimha Murthy 17. Machine Learning: Theory and Practice (Sat) (10 am – 1pm) 3+0 CSA (Honorary Professor) Structural Analysis and Design Optimization: Theory and Practic 18. 2+0 Dr. S B Kandagal AE (Sat) (12 pm – 2pm) Dr. R N Narahari & 19. Start-up Tools (SuT), (Sat) (1 pm – 4 pm) 3+0 Prof. S A Shivashankar CeNSE (Retd.) Business Analytics with Management Science Models and Methods 20. 3+0 Dr. M Mathirajan MS (Sat) (1 pm – 4 pm) Combinational Algorithms from the Indic Tradition Prof. Gopinath Kanchi & 21. 2+0 CSA & NIAS (Sat) (10 am –12 noon) Dr. Shailaja D Sharma Dr. Gopal Krishna Fiserv India Ltd., Basics of Machine Learning (Sat) (2 pm – 4 pm) 22. 2+0 Sharma, & Prof. M & Civil Engg. Sekhar Mr. M Krishna Kumar 23. Embedded Systems and IoT Sensors Applications (Sat) (2 pm – 4 pm) 2+0 (Retd.) & Mr. S M DESE Narasimhan

24. Social and Information Network Analysis (Sun) (10 am – 1 pm) 3+0 Prof. M Narasimha Murthy CSA

Structural Dynamics in Earthquake and Blast Resistant Design (Tue & Prof. B K Raghu Prasad 25. 3+0 Civil Engineering Thu) (6 pm – 7.30 pm) (Retd.) Dr. A Indira & Prof. 26. Contemporary Social Environment (Tue) (6 pm – 8 pm) 2+0 Dept. of MS Anjula Gurtoo Dr. A Indira & Prof. 27. Contemporary Economic Environment (Wed) (6 pm – 8 pm) 2+0 Dept. of MS Anjula Gurtoo

FEE STRUCTURE AT A GLANCE

Regular Courses

Per Credit: Rs.5, 000/-

Computer Lab Fee: Rs.5, 000/-

1. Course with 2 credits# Rs. 10,000/-

2. Course with 2+C credits # Rs. 15,000/-

3. Course with 3+0 credits # Rs. 15,000/-

4. L Stands with 2+L Credits # Rs. 15,000/-

# Credits = Lecture Hours per week

$C Stands for Computer Laboratory

$L Stands for Online Course

1. Online Course on Innovative Product Development and Design Methods (2+0) Objectives: The globalization and digital connectivity have forced many organizations to look at the way new products are to be developed for customer acceptance in the changed competitive “global village”. Proven methods of the past which made many companies succeed in the “Sellers‟ Market” are no longer valid. The organizations have to develop new approaches for design and innovation to meet the challenges of technology explosion and to increase the speed of development. There is an urgent need to adopt integrated innovative product development strategies to meet the ever-changing customer expectations. This Course, through theory classes, aims to look at these issues and create an awareness of innovative product development process and various design methods to achieve success. Syllabus: o Creativity and Innovation o Integrated Product Development o Product Design o Industrial design o Quality Function Deployment o Value Engineering o Design to Cost o Design for Assembly and Manufacture o Design for Service o Failure Modes and Effects Analysis o TRIZ (Systematic Innovation) - Overview o Concept Generation Methods o Concept Selection Methods

Target Group: Practicing Engineers, Managers involved in New Product development, Design and Development in Industries, R & D Organizations etc., Academic Personnel in teaching/practicing Product design, Product engineering, Design and Development and fresh engineers interested in Design and Innovation.

Faculty: Faculty: Dr. J E Diwakar (Retd.) Prof. P Achutha Rao CPDM., Retired from NID R & D Campus, IISc., Bengaluru. Bengaluru. Email: [email protected] E-Mail: [email protected]

Reference Books: Who Can apply? 1. Merle Crawford, Anthony Di Benedetto, New Products Management, Tata McGraw Hill Graduation in Engineering, Design (B.Des) & Education Private Limited, 2011. Post-Graduation Management

2. Robert G Cooper; Course Fee: Rs. 10,000/- + 18% GST Winning at New Products, Basic Books, 2011.

3. Jonathan M. Cagan, Craig M. Vogel Online Seats are Limited to 100 Creating Breakthrough Products: Innovation from Online Classes using Microsoft Teams Product Planning to Program Approval; FT Press, 2010. Schedule: Monday‟s 6.00 pm. to 8.00 pm. 4. Karl Ulrich and Steven Eppinger, Product Design and Development, McGraw- H ill/ Irwin; 5 Editions, May 2011.

2. Online Course on Graph Analytics: Algorithms and Applications (2+0) Objectives:

Graph Analytics is important in different domains: Social Networks, Computer Networks, and Computational Biology to name a few. This course will deal with the challenges involved in programming the underlying Graph Algorithms for Graph Analytics on Sequential and Distributed Systems. Syllabus:

Overview of data structures such as binary search trees, balanced trees, MFSET, heap, hash tables, game trees, etc. Review of algorithm design paradigms such as divide and conquer, dynamic programming, backtracking, and greedy. Graph algorithms: shortest distance computation, minimum spanning trees, graph matching, network flows, centrality computations, community detection, connection analysis, etc. Fundamentals of distributed computation: multi-core CPU systems, GPU systems, and clusters. Programming graph analytics on distributed systems: BSP model, asynchronous model, and scatter-gather model. Domain-specific languages for graph analytics. Graph DBMS such as Neo4J. Applications to social networks, fraud detection, cyber-crimes, etc. Target Group: Persons in R&D and final year M.Tech. Students.

Faculty: Prof. Y.N. Srikant, Dept. of CSA,, IISc., Bengaluru. Email: [email protected]

Reference Books: Who Can apply? 1. T H Cormen, C E Leiserson, and R L Rivest, B.Tech (Computer Science & Engg.) MSc (Computer Introduction to Algorithms, The MIT Press, Science), MCA. Cambridge, Massachusetts, USA, 1990. Pre-requisites: 2. Unnikrishnan, Cheramangalath, Rupesh Nasre, and Y N Srikant, This is an advanced course for persons with good CS Distributed Graph Analytics: Programming, background. A very good knowledge of data structures Languages, and their Compilation, Springer, and programming is essential; knowledge of basics of 2020. parallel architectures will be helpful.

3. Amy E, Hodler, and Mark Needham, Course Fee: Rs. 10,000/- + 18% GST Graph Algorithms: Practical Examples in Apache Spark and Neo4j. O‟Reilly, 2019 (free Seats are Limited to 100 book, downloadable). Online Classes using Microsoft Teams Schedule: Monday‟s - 6.00 pm. to 8.00 pm.

3. Online Course on Augmented and Virtual Reality (2+0)

Objectives:  Introducing Importance and Applications of Augmented and Virtual Reality Systems  Explaining Working Principle of Head Up and Head Mounted Display Systems  Using Computer Vision to Develop AR Systems  Developing VR Models in Unity  Integrating different Sensors with AR/VR Systems  Teaching different Interaction Modalities (eye gaze, gesture and voice)  Hands on Training on Developing AR/VR Systems  Undertaking Representative AR/VR projects

Syllabus:  History and differences between Augmented and Virtual Reality  Basics of Computer Vision and Multimodal Interaction  AR Systems for Fault Inspection, Digital Twin  Head Up and Head Mounted Systems in Automotive and Aviation Domains  Virtual Reality System Development in Unity  Rendering Real Time Sensor Data in VR Model  Human Robot Interaction using AR/VR Systems Target Group:

Industry, R&D Units.

Faculty: Dr. Pradipta Biswas Assistant Professor,

Dept. of CPDM, IISc.

E-mail: [email protected]

Reference Books: Who can apply? 1. Grigore C. Burdea, Philippe Coiffet , BE, B.Tech., MCA Virtual Reality Technology, Wiley 2016 Pre-requisites:

2. Dieter Schmalstieg and Tobias Höllerer, Basic Knowledge of Computer Programming & Augmented Reality: Principles & Practice, Mathematics Pearson Education India, 2016 Course Fee: Rs. 10,000/- + 18% GST 3. Kent Norman (Ed), Wiley Handbook of Human Computer Online Seats are Limited to 100 Interaction, Wiley 2017 Online Classes using Microsoft Teams 4. Andy Field, “Discovering Statistics Using SPSS”, Schedule: Tuesday‟s 6 pm to 8 pm SAGE Publications Ltd., 2009.

4. Online Course on Service Design Thinking (2+0) Objective The globalization and digital connectivity haave forced many organizations to look at the way new products/services are to be developed for customer acceptance in the changed competitive “global digital world‟. The economy is shifting from manufacturing economy to service and knowledge economy. Service economy is an economy based on providing services rather than manufacturing or producing goods. There is increased importance of the service sector in industrialized economies. The current list of fortune 500 companies contains more service companies and fewer manufactures than in previous decades. Many products are being transformed into services. Design of services is gaining more prominence and becoming a specialized field of expertise. This course will look at various aspects of service design thinking The participants will become aware of all aspects of service design. Syllabus:  Innovation, Creativity, Embedded Mindset to Creative Thinking. Barriers to Creativity.  Product Economy to Service Economy  Service Design Thinking  Fields of Service Design  Principles of Service Design  Marketing Connecting with people, Creating Customer Value  Product Design Developing Products with Service Applications  Social Design: Delivering Positive Social Impact  Strategic Management  Operations Management  Tools of Service Design Thinking

Target Group: Practicing Engineers, Managers Responsible for developing engineering services, Professional in Design and Development in Industries, R & D Organizations etc., Academic Personal in teaching/practicing Product design/Service design, Product engineering, Design and Development and fresh engineers interested in Design and Innovation; Start up entrepreneurs.

Faculty: Faculty: Faculty: Dr. J. E. Diwakar (Retd.) Prof. P. Achutha Prof. TVP Chowdry Dept. of CPDM., Rao (Retd.) Project Scientist CST IISc., Bengaluru. NID R & D Campus. E mail:

Email: [email protected] E Mail: [email protected] [email protected]

Reference Books:

1. Marc Stickdorn, This is Service Design Thinking: Basics-Tools-Cases Wiley. Who Can apply?

2. Andy Polaine, Rosenfeld Media, Graduation in Engineering, B.Des. B.Arch., Any Master‟s Service Design from Insight to Implementation. Degree.

3. Tim Brown, Course Fee: Rs. 10,000/- + 18% GST Change by Design: How Design Transforms Organizations and Inspires Innovation. Online Seats are Limited to 100 Online Classes using Microsoft Teams 4. Satu Miettinen & Mikko Koivisto, Designing Services with Innovative Methods: University Schedule: Tuesday‟s: 6.00 pm. to 8.00 pm of Art and Design Helsinki

5. Online Course on Laboratory Animal Management (2+0)

Objectives: The use of animals in research imposes normal scientific and legal obligations for humane care and treatment. This course provides essential information for the investigators/animal house managers about the standard practices to be followed in scientific management of the animal house, production of quality animals, current regulations, and laboratory animal care. Syllabus: The syllabus includes introduction, uses of animals in biomedical research, physiology, nutrition, selection of animals and models, breeding, animal acquisition, housing, animal husbandry and care, occupational health and safety, animal use protocol, personnel and facility management, health and genetic monitoring quality control, anesthesia, euthanasia, animal welfare, and CPCSEA guidelines. Target Group: Biomedical Research Institutes, R&D units, Veterinary/Medical/Pharmacy Colleges, Pharmaceutical Industries and Contract Research Organizations.

Faculty: Dr. Ramachandra S G Chief Research Scientist Central Animal Facility, IISc., Bengaluru. E-mail: [email protected] [email protected]

Reference Books: 1. Robert Hubrecht and James Kirkwood. Who can apply? The UFAW Handbook on the Care and BVSc./B.Pharma/MSc./M.Pharma/MVSc. Management of Laboratory and Other Research Animals, Eight Edition, Editor(s), Wiley-Blackwell Course Fee: Rs. 10,000/- + 18% GST Publishing Ltd. 2010. Online Seats are Limited to 100 2. Handbook of Laboratory Animal Science. Vol. I and Vol. II. CRC Press. 2010/2011. Online Classes using Microsoft Teams

3. Guide for the Care and Use of Laboratory Animals. Schedule: Tuesday‟s 6.00 pm to 8.00 pm Eight Edition. National Academy Press, USA. 2011.

6. Online Course on Data-Driven Modelling and Optimization (3+0)

Objectives: The course is designed to train students and upskill professionals in different data-driven modeling approaches and optimization techniques needed to succeed in industry and research. At the end of the course, participants would be able to use data-driven approaches to recognize, model, and solve optimization problems that arise in engineering and related (e.g., data science, finance, business) contexts. Syllabus: Data-Driven Modeling Concepts: Mathematical (linear algebra, calculus, probability) and programming (python, data exploration) foundation, Computational Thinking; Unconstrained Optimization: Linear and nonlinear least squares, regression, regularization, conjugate gradient, quasi-newton; Machine Learning and Neural Networks: Classification models, single layer perceptrons, deep networks, optimization algorithms in ML and big data; Constrained Optimization: Linear Programming Problems, Quadratic Programming, Lagrangian Methods; Bayesian Optimization and Genetic Algorithms. Target Group: Any industry/R&D professional; Research students in engineering and sciences; Undergraduate students looking for skill development; Aspiring data scientists looking for upskilling

Faculty: Dr. Deepak N Subramani Assistant Professor, Dept. of Computational and Data Sciences, IISc., Bengaluru. E-mail: [email protected]

Reference Books: Who can apply? 1. J Nocedal and S Wright Numerical Optimization, B.E/ B.Tech. or ME/M.Tech/MCA/M.Sc.

Springer Series, in Operations Research and Financial Engineering, (2nd Edition) 2006. Pre-requisites:

2. C Shan Basic Mathematics and Programming A Hands-on Introduction to Data Science, Cambridge University Press. 2020. Course Fee: Rs. 15,000/- + 18% GST

3. C Balaji Online Seats are Limited to 100 Essentials of Thermal System Design and Online Classes using Microsoft Teams Optimization, Ane Book Pvt. Ltd. 2011. Schedule: Tuesday & Thursday 6.00 pm to 7.30 pm

7. Online Course on High-Performance Computing and Data Science (3+0)

Objectives: The exponential growth of data in business and industry and the demand in computational modeling necessitate high-performance computing clusters to extract actionable insight from computed solutions. This High- Performance Computing & Data Science course provides in-depth knowledge of parallel computing architectures and their implementations. This course aimed at students, researchers, and professionals working on computational modeling and/or Data science applications who wish to upskill. Syllabus: Mathematics for Data Science: Introduction to Calculus, Linear algebra, Probability theory and Optimization. Introduction to Computing: Representation of numbers and arithmetic in the computer, Round-off errors, Basic data types, and Introduction to Object-Oriented Programming (OOP) for Data Science, Numba just-in-time (JIT) compiler for Python. Parallel Architecture: Fundamentals of Parallel computer Memory Architectures; Multi-core computer, Parallel programming models, MPI, OpenMP, Distributed and GPU implementations for Data Science Applications, Numba GPU implementation, MapReduce frameworks. HPC for Modeling and Simulation: Developing a multi-node/multi-GPU solver for a system of algebraic equations and for the solution of the Poisson problem. HPC for Data Science: Distributed training with TensorFlow, Taming Big Data with Hadoop MapReduce and Spark. Target Group: All Students, Researchers, and Professionals working on Computational Modeling or Data Science Applications.

Faculty: Prof. Sashikumar Ganesan Associate Professor & Chair, Dept. of Computational and Data Sciences, IISc., Bengaluru. E-mail: [email protected]

Reference Books: 1. Peter Gottschling, Who can apply? Discovering Modern C++: An Intensive Course B.E/ B.Tech./or M.Sc./ME/M.Tech. for Scientists, Engineers and Programmers, Addison-Wesley, 2016 Pre-requisites: 2. Peter Pacheco Basic Mathematics, Basics of Computer Systems, Basic An Introduction to Parallel Progrmming, Data Structures and Programming, Basic Algorithms. Morgan Kaufmann, 2011. Course Fee: Rs. 15,000/- + 18% GST 3. Jimmy Lin and Chris Dyer Data-Intensive Text Processing with Online Seats are Limited to 100 MapReduce, Morgan & Claypool Publishers, 2010. Online Classes using Microsoft Teams

4. Online Reference Schedule: Tuesday & Thursday 6.00 pm to 7.30 pm

8. Online Course on Preclinical Drug Research: Regulatory Perspectives (2+0)

Objectives: Preclinical studies are designed to identify a lead candidate and to select the best formulation, determine the route, frequency, and duration of exposure, and ultimately support the intended clinical trial design. This course provides essential information on OECD Principles of GLP, OECD test guidelines, and requirements by various regulatory authorities. Syllabus: The syllabus includes History and OECD Principles of GLP, Consensus Documents, Guidance Documents for Compliance Monitoring Authorities, Advisory Documents of the Working Group on GLP, Position Papers, Regulatory Authorities, Introduction to Toxicology, Toxicology Studies, Ecotoxicology studies, Genetic Toxicology Studies, Developmental & Reproductive Toxicology Studies, OECD test guidelines, and Biocompatibility Studies. Target Group: Biomedical Research Institutes, R&D units, Veterinary/Medical/Pharmacy Colleges, Pharmaceutical Industries and Contract Research Organizations.

Faculty: Dr. Ramachandra S G Chief Research Scientist Central Animal Facility, IISc., Bengaluru. E-mail: [email protected] [email protected]

Reference Books: 1. Handbook Good Laboratory Practice (GLP): Quality Who can apply? Practices for Regulated Non-Clinical Research and nd BVSc./B.Pharma/MSc./M.Pharma/MVSc. Development – 2 Publisher: WHO, 2009.

2. Good Laboratory Practice, OECD Principles, and Course Fee: Rs. 10,000/- + 18% GST Guidance for Compliance Monitoring. Publisher: Online Seats are Limited to 100 Organizationfor Econimic Co-Operatoration and Development (OECD), 2006. Online Classes using Microsoft Teams

3. Ed. Shayne C. Gad, Schedule: Wednesday‟s 6.00 pm to 8.00 pm nd Animal Models in Toxicology: 2 Edition. CRC Press, 2007.

9. Online Course on Vibration and Noise: Theory & Practice (2+0) Objectives: Growing awareness of vibration, noise and harshness feeling has necessitated the valid design criterion in the design of machines, automobiles, buildings, industrial facilities, etc, and the increasing number of standard regulations and human comfort associated with noise, harshness and vibration makes it mandatory to control vibration and noise leading to quieter technology in pumps, engines, compressors, chillers and other consumer products. There is a great demand to enhance ride comfort of bikes, cars, aircrafts and other automobiles. Vehicle Dynamics basics and rowing awareness about noise pollution among the consumer necessitates the OEM companies to stress upon the products without NVH problems. Analytical, MATLAB and FEM based tools such as ANSYS, NASTRON, ABACUS and SYSNOISE helps to achieve the goals of NVH study. This course is for engineers/scientists/entrepreneurs/instructors in the industries/institutes to learn the analytical and experimental skills to tackle the problems related noise, vibration and harshness (NVH) during design and manufacturing stage for technically superior and commercially viable product to achieve “EMPOWER INDIA WITH SKILL AND Knowledge” Syllabus: Vibration of structural systems. SDOF, 2-DOF, MDOF and continuous systems. Eigen values and vector estimation methods. Free and Forced vibration analysis. Torsional vibration and applications. Damping estimation methods Structural Vibration control elements: isolation, damping, balancing, resonators, absorption, barriers and enclosures. Vibration and noise standards. NVH measurement tools and techniques. Modal parameter (natural frequency, mode shape and damping) estimation techniques. Signal and system analysis. Demonstration of vibration and noise experiments – beam, plates, impulse excitation, electrodynamic shaker excitation, FFT analyzer, stroboscope and mode shape animation, sound level meter, microphones. Vibration transfer function (VTF) and noise transfer function (NTF) Noise and its effects on man. Acoustic and sound field. Enclosures, shields and barriers-design. Silencer and suppression systems. Noise level interpolation and mapping. Harshness effects and measurements and solutions. NVH Parameters related to vehicle dynamics Case studies discussion (vibration reduction in passenger car, tiller, tractors, steering column/wheel vibration diagnosis, Modal analysis of Helicopter, Vibration diagnosis in diesel engine power plant, rotodynamic analysis of DWR and tracking antenna and engine and compressor noise attenuation and vibration isolation, engine-compressor mount design, vibration diagnosis in power plants, gear shift harshness, newspaper printing cylinder vibration diagnosis, engine filter bracket dynamic analysis, noise reduction for mixer grinders, field audit of industrial chimney for wind induced vibration, stability studies of sports bike, aerodynamic stability derivatives of scaled model of aerospace vehicles)

Target Group:

Mechanical, Civil, Aerospace, Automotive, Industrial Engineers, Construction Technologists, R & D Labs, New product Design and Development Groups, Entrepreneurs and Engineering College Instructors. Professionals to pursue Postgraduate and Higher Studies Faculty: Dr. S B Kandagal Principal Research Scientist, Dept. of AE., IISc., Bengaluru. Email: [email protected]

Reference Books: 1. Harris, C.W”, Who Can apply? Shock and Vibration Handbook” McGraw Hill, New York, 2012. B.E / ME / MSc./ AMIE OR equivalent

2. Ewins, D.J. ” Modal analysis: Theory and Practice”, Course Fee: Rs. 10,000/- + 18% GST Research Studies Press Ltd, England, 2014 Online Seats are Limited to 100 3. Gillespie, T.D., “Fundamentals of Vehicle Dynamics”, Online Classes using Microsoft Teams Society of Automotive Engineers. Inc, 2010. Schedule: Wednesday‟s - 6.00 pm. to 8.00 pm. 4. Beranek, L.L, ” Noise and Vibration Control”, Wiley, 2008

10. Online Course on Probability Foundations for Machine Learning (2+0)

Objectives: This course aims to provide an in Depth Understanding of Probability Concepts for Engineers and Professionals Working in Various Domains Including Machines Learning, Data Science. Syllabus: Probability and Counting, Conditional Probability Independence of events, Discrete and Continuous Random Variables and their Distributions, Independence of Random Variables, Joint Distributions Joint Expectations, Covariance Moments, Conditional Expectations, Limit Theorems Random Vectors, Covariance Matrix, Sample Geometry and Random Sampling, Multivariate Normal Distribution. Parameter Estimation Regression Models.

Random Processes, Stationarity, Markov Chains, Bernoulli and Poisson Processes, Some Applications. Target Group:

Engineers and Researchers.

Faculty: Faculty: Faculty: Mr. M Krishna Kumar ( Retd.), Dr. Arulalan Rajan, Dr. Ashok Rao, PRS., Dept. of ESE (CEDT), Formerly, Assistant Formerly Head, IISc.., Bengaluru Prof., Networking Project, Email. [email protected] Dept. of E& C Engg., Dept. of ESE (CEDT), IISc.., Bengaluru NITK.., Surathkal.. Email: Emai;: [email protected] [email protected]

Reference Books: 1. Bertsekas, Tsitsiklis Who can apply? nd Introduction to Probability, 2 Ed. BE/ MSc. Athena Scientific. Pre-requisites : 2. Roy D Yates, D J Goodman Probability and Stochastic Mathematics Graduate Level Processes, John Wiley. 2014. Course Fee: Rs. 10,000/- + 18% GST

3. Steven M Kay Online Seats are Limited to 100 Intuitive Provability and Random Processes, Springer. Online Classes using Microsoft Teams

4. R. Johnson, D.A Wichern, Schedule: Friday‟s -6.00 pm to 8.00 pm. “Applied Multivariate Statistical Analysis”, Pearson, 2015.

11. Online Course on Analysis and Design of Composite Structures (2+0) Objectives:

Composites are future materials and have been finding applications in all fields of Engineering (Aero, Civil, Mechanical, Automobile, Marine). Many FEM software packages like ANSYS, MSC-NASTRON, PATRAN, ABACUS, LS-DYNA, etc are available for Analysis & Design Optimization. One should first understand the Mechanical behavior of the Composite Structures before using FEM packages. After the completion of this course one can use the FEM software packages for better quality of professional work and optimum usage of time, computing and human resources.

Syllabus: Introduction: Basic Concepts and Terminology, different types of fibers and matrices, their properties and applications. Micromechanics of Composites: Prediction of properties etc. Macromechanics of Lamina: The theory of elasticity, Constitutive equations of a lamina, transformations, Numerical examples. Failure theories for composite lamina, Numerical examples. Mechanics of Laminated Composites: ABD matrices, etc. Hygrothermal Analysis, Numerical examples. Bending Analysis of Beams: Theory, Numerical examples. Analysis of Laminated composite plates: Classical and first order theories, Energy Method, numerical examples. Buckling analysis of plates: Theory, Numerical examples. Design of laminates using Carpet plots, AML plots, Design of laminates with Numerical examples.

Target Group: 1. Technologists/ Engineers/ Scientists/ Trainees/ Project Staff/ etc. from Industries, R & D Organizations, Institutions, Colleges etc. 2. Faculty of Engineering// Diploma Institutions etc. 3. Fresh Graduates, Post Graduates, Ph.D. Students, Research Fellows, SRFs, JRFs, etc.

Faculty: Dr. G. Narayana Naik Principal Research Scientist, Dept. of AE., IISc., Bengaluru. Email: [email protected]

Reference Books: Who Can apply? 1. 1. J.N.Reddy, B.E / B.Tech. / AMIE / M.Sc.(Engg.)/ AMAeSI (Engg.) Mechanics of Laminated Composite Plates and (Mechanical, Aero, Civil, Automobile, Marine, Ocean) OR Shells Theory and Analysis – CRC Press – 2004. equivalent. 2. 2. Madhujit Mukhopadhyay, Mechanics of Composite Materials and Structures- Course Fee: Rs. 10,000/- + 18% GST Universities Press- Engg. 2004. Online Seats are Limited to 100

3. Zafer Gurdal, Raphael T Haftka, Online Classes using Microsoft Teams Design and Optimization of Laminated Composite Materials, John Wiley & Sons, INC – 1999. Schedule: Friday‟s - 6.00 pm. to 8.00 pm.

12. Online Course on Fundamentals of – Design as a Decision-Making Approach (2+0) Objectives: The primary objective is to develop participant‟s ability to recognize design as a fundamental and ubiquitous activity in their day to day personal and professional lives. Approaches and methods to improve decision-making using design principles and research findings will be discussed. The course will broaden the participants understanding of design. Syllabus: Introduction to design, design research, and decision-making, including the arts, science, and business of design; design as a goal-oriented problem-solving activity; design as an arrangement of elements; design cognition and design thinking; elements of design, and principles of design; engineering design; design management, and; creating opportunities through design and research.

Target Group: This course is equally applicable for working professionals and recent graduates, especially with a professional degree. Managers and mid-career professionals who face critical day-to-day decision making challenging may also find the course useful.

Faculty: Prof. Vishal Singh Associate Professor, Dept. of CPDM., IISc., Bengaluru. Email: [email protected]

Reference Books: 1. Bryan Lawson How Designers Think: The Design Process Demystified, Elsevier, 2006. 2. Nigel Cross Who Can apply? Design Thinking: Understanding How Designers Graduate (Any Discipline) Think and Work, Routledge, 2011. Course Fee: Rs. 10,000/- + 18% GST 3. William Lidwell, Kritina-Holden, Jill Butler Universal Principles of Design Online Seats are Limited to 100 Berg Publishers, 2003

Online Classes using Microsoft Teams 4. Don Norman The Design of Everyday Things, Basic Books Schedule: Friday‟s - 6.00 pm. to 8.00 pm. Rockport Publishers, 2013.

5. Tim Brown Change by Design: How Design Thinking Transforms Organizations and Inspires Innovation, Harper Collins e-book, 2009

13. Online Course on Basics of Data Analytics (2+0)

Objective

To introduce Data Analytics to a person new to the field and make him/her ready for advanced courses.

Syllabus:

Introduction to Data Science, Review of Probability theory – Axioms of probability, mutually exclusive events, Conditional Probability and Bayes‟ theorem, Independence, Concept of Random Variables, discrete and continuous random variables, distribution and density functions, some standard discrete and continuous distributions, moments, statistics, mean and variance, unbiased estimates. Bivariate data, Scatter plot, Trend, converting non-linear trend into a linear one, Co-variance and correlation coefficient, least square minimization of errors, residues and their properties, ANOVA, Hypothesis testing for the model and for parameters, confidence intervals. Multivariate data, partial correlation coefficient, concept of dimensionality reduction, parameter estimation by minimizing the squared errors. Smoothing techniques - moving averages and exponential smoothing. Overview of Time Series Analysis, Machine Learning Internet of Things, Neural Networks, Data Visualization and associated topics. Software development project using Python consisting of all the topics learnt. Target Group: Any Industries that deals with data analysis and management and academicians interested in data science.

Faculty Faculty Dr. Gopal Krishna Sharma Prof. Muddu Sekhar Fiserv India Ltd., Dept. of Civil Engineering, Bengaluru. IISc., Bengaluru. Email : [email protected] Email : [email protected]

Reference Books:

1. Spyros Makridakis et. al. Who Can apply?

Forecasting Methods and Applications Any Engineering Degree with Mathematics Background Wiley, 2005.

2. Bovas Abraham and Johannas Lodolter Course Fee: Rs. 10,000/- + 18% GST Statistical Methods for forecasting Online Seats are Limited to 100 Wiley, 1983. Online Classes using Microsoft Teams 3. Kishor S. Trivedi Probability and Statistics with Reliability, Schedule: Saturday‟s- 10.00 am. to 12.00 noon Queuing and Computer Science Applications. Wiley, 2002

14. Online Course on Mathematical Foundations for Machine Learning (2+0)

Objectives: To provide Mathematical Foundations for Machine Learning Applications like Medical Imaging, Face Recognition, Object Recognition. Syllabus: Module 1. System of Equations, Vector Spaces, Subspaces Basics, Dimension Module 2. Eigenvalues, Eigenvectors, Projection, Orthogonolization, GS Algorithm Module 3. Matrices, Matrix Factorization, LU, QR, SVD Module 4. Least Squares Data Fitting, Least Squares Classification Module 5. Machine Learning as a Pattern Recognition Problem, Design of Classifiers, Training and Testing, Subspace Methods in Machine Learning for the Face and Object Recognition. Target Group:

Samsung, Microsoft and Companies Working on Data Analytics & Machine Learning, Researchers.

NITK.., Surathkal.. IISc.., Bengaluru Email: Emai;: [email protected] [email protected]

Reference Books: 1. Gilbert Strang, Who can apply? “Introduction to Linear Algebra”, BE/B.Tech/ AMIE or equivalent. Wellesley Cambridge Press, 5th Ed. 2016. Pre- Requisites: MATLAB/Python Programming will be useful. 2. Gilbert Strang, Course Fee: Rs. 10,000/- + 18% GST “Linear Algebra and Learning from Online Seats are Limited to 100 Data”, Wellesley Cambridge Press, 2019. Online Classes using Microsoft Teams

3. Christopher M Bishop, Schedule: Saturday‟s – 10.00 am to 12.00 noon “Pattern Recognition & Machine Learning”, Springer, 2016.

15. Online Course on Mathematics for Machine Learning (3+0)

Objectives: The goal of this course is to provide a self-contained introduction to some of the core mathematics of machine learning and data science: real analysis, linear algebra, probability and nonlinear optimization. The course will particularly be targeted at professionals who wish to hone their math skills and understanding of these subjects. We will start with foundational topics and gradually build up to various models and algorithms used in data sciences. Lot of problem solving and some basic coding will be involved.

Syllabus:

Basics of continuous math, real analysis, multivariate calculus, linear algebra, probability and optimization; applications in machine learning and data sciences including regression, clustering, dimensionality reduction, classification, kernel methods and deep learning. Target Group:

Data Scientists, Research Scholars, Engineers, Teachers and Professionals.

Faculty: Prof. Kunal Narayan Chaudhury Associate Professor, Dept. of Electrical Engineering IISc., Bengaluru.

Email: [email protected]

Reference Books: 1. M.P. Deisenroth, A.A. Faisal and C.S. Ong, Who Can apply? Mathematics for Machine Learning, BE/B.Tech./or M.Sc. Cambridge University Press, 2020.

2. D. Simovici, Course Fee: Rs. 15,000/- + 18% GST Mathematical Analysis for Machine Learning and Online Seats are Limited to 100 Data Mining, World Scientific, 2020. Online Classes using Microsoft Teams

3. Lecture notes and Slides provided by the Schedule: Saturday‟s - 2.00 pm. to 5.00 pm. instructor.

16. Online Course on Reinforcement Learning (3+0)

Objectives:

The objective of the course is to (a) build the Foundations of Reinforcement Learning and (b) impart Competence to students so that they can cast real-world problems in the framework of Reinforcement Learning and decide which algorithms to apply.

Syllabus:

Introduction to Reinforcement learning, Basics of Probability, Multi-armed Bandits, Finite Markov Decision Processes, Dynamic Programming Based Approaches, Monte-Carlo Methods, Temporal Difference Learning Based Methods, n-Step Bootstrapping Approaches, Value and Policy Approximation Methods.

Target Group:

Target group will be Industry/R&D Professionals, College Teachers, Project Staff Members.

Faculty: Prof. Shalabh Bhatnagar

Dept. of CSA, IISc. E-mail: [email protected]

Reference Books Who can apply?

1. R. S. Sutton and A. G. Barto B.Tech (in any engineering discipline), MSc Reinforcement learning. (Math/Computer Science/Physics), MCA. MIT Press, Second Edition, 2018 Course Fee: Rs. 15,000/- + 18% GST 2. D. P. Bertsekas and J. N. Tsitsiklis Neuro-Dynamic Programming, Online Seats are Limited to 100 Athena Scientific, 1996. Online Classes using Microsoft Teams

Schedule: Saturday‟s 10 am to 1 pm

17.Online Course on Machine Learning: Theory and Practice (3+0)

Objectives: To introduce the registrants to the both the Theoretical and Practical aspects of Machine Learning. This will be useful to both Practitioners and early Researchers and Academicians.

Syllabus: Introduction to Machine Learning (ML). Representation and Search. Learning Paradigms: Rote Learning, Learning by Deduction, Learning by Analogy, Learning by Abduction, Learning by Induction. Foundations of ML: Role of Linear Algebra in ML; Information Theory in ML, Logic in ML, Probability in ML; and Graphs in ML. Inductive Learning: Clustering, Supervised and Semi-Supervised Learning, Knowledge-Based Learning. Deep Learning: Convolution Neural Nets, Recurrent Neural Nets. Applications: Information Retrieval and Network Embedding in Social and Information Networks. Target Group: Industry/R&D Units/ Academic Institutions interested in Machine Learning and Artificial Intelligence.

Faculty: Prof. M Narasimha Murty Honorary Professor, Dept. of CSA., IISc, Bengaluru.

Email: [email protected]

Reference Books: Who can apply? 1. Tom Mitchell, BE in any branch or MSc in Machine Learning, Indian Edition, July 2017. Mathematics/Physics/Statistics/Computer Science or MCA

2. M N Murty and V Susheela Devi, Pre-requisites: Introduction to Pattern Recognition and Mathematics and Programming Background Machine Learning, IISc Lecture Series Notes, Course Fee: Rs. 15,000/- + 18% GST World-Scientific, IISc Press, 2015. Online Seats are Limited to 100 3. S. J. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, Online Classes using Microsoft Teams Pearson, Delhi, 2016. Schedule: Saturday‟s – 10.00 am. to 1.00 pm

18.Online Course on Structural Analysis and Design Optimization: Theory and Practice (2+0) Objectives: Advanced research in material science to enhance the life with reduced cost resulted in metal alloys, plastics, composites and nano materials. Structural design and optimization of components with unusual shapes became possible with current available finite element software tools such as ANSYS, NISA, NASTRON, ABACUS, SYSNOISE, LSDYNA and MATLAB etc. The fundamental knowledge of stress, strain, shear, torsion in relation to the structures and S-N curves in relation to the material fatigue life becomes important. The interpretation of the FEM software output calls for the knowledge of analysis and design optimization of mechanical systems. This course essentially trains engineers/scientists/entrepreneurs/instructors in the industries/institutes to optimally design various mechanical systems and sub-systems for technically superior and commercially viable value added product and achieve “EMPOWER INDIA WITH SKILL AND Knowledge” Syllabus:

Applied mechanics, Strength of materials, SFD, BMD, AFD, solid mechanics, concept of stress, strain and fatigue. Constitutive laws. Mohr‟s Circle, Engineering materials and their properties. Structural analysis concepts, tension, compression, shear, torsion, coupled system, and S-N curves. Design of beams, torsion, compression members and fasteners. Stability of structures. Composite materials and their importance in structural analysis design optimization.

Principles of optimization, formulation of objective function and design constraints, classification of optimization problem. Single and multivariable optimization. Optimization with equality and inequality constraints.

Optimal design of mechanical elements – fasteners, springs, gears, bearings, belts, clutches, brakes, shafts and axles. Procedures for product design, development and testing. Vibration of structures Practical problem discussion with industrial products (optimization of passenger car sub systems for vibration and noise reduction, Rail-coach-CBC couplers, Car door window regulator, satellite tracking antenna and DWR antenna design, Tractor canopy, hydraulic crawler driller (drilling machine), Bike brake system, sluice valve design, failure analysis if piston drill bit, thermally insulated box, IP turbine blade failure analysis, design analysis of super pump impeller, Structural design aspects in power plants. Hydraulic jacks/Feed cylinder with intermediate supports, Industrial chimney design, optimization of box culverts, metal-composite sprocket for bikes, design criteria for Van pump, Thermal analysis of heat exchangers, 6-DOF force balance, pitch flexure, roll flexure design for wind tunnel model studies for aerodynamic derivatives of aerospace vehicle and automobiles). Target Group:

Mechanical, Civil, Aerospace, Automotive, Industrial Engineers, R & D Labs, Construction Technologists, New product Design and Development Groups, Entrepreneurs and Engineering College Instructors. Professionals to pursue Postgraduate and Higher Studies

Faculty: Dr. S B Kandagal Principal Research Scientist, Dept of AE, IISc., Bengaluru.

Email: [email protected]

Reference Books Who Can apply? 1. Beer F P and Johnson, E.R, “Vector Mechanics for Engineers- Statics and BE, ME, MSc , AMIE, or equivalent Dynamics”, Tata-Mac Graw Hill, Sixth Edison, 2012. Rs. 10,000/- + 18% GST 2. Shigley, J.E and Mischke, C.R., Course Fee: “Mechanical Engineering Design” Online Seats are Limited to 100 Tata-Mac Graw Hill, sixth Edison, 2010. Online Classes using Microsoft Teams 3. Johnson Ray, C. ”Optimum Design of Mechanical Elements”, Schedule: Saturday‟s 12.00 pm. to 2.00 pm. Wiley, John & Sons, 2014.

19. Online Course on Start-up Tools (SuT) (3+0) Objectives: The aim of this Course is to introduce aspirants to the broad subject of Start-up Initiatives. “Start-up” is the buzz word being sprouting now and has a great potential to grow into a big woods in near future. The world at large appears to be tilted towards micro adventures called “Start-ups”. The course envisages imparting various skill sets – Breeding IP culture, creation of IP and related aspects, English Communication, seeking/ funds, management skills to handle stress to sustain business and sharing live Experience from founders of start-ups. Syllabus:

The Course aims to expose the students to the basic principles and practices in the broad field of “Start-up Ventures”: IP and IP protection; formalities of registration, compliances, seeking funding; Communication in general and technical writing in particular, and so on. It also aims to equip them with the knowledge, skills, and attitude they need to overcome problems in the creation and sustaining of a Start-up. It is planned to invite founders of Start-ups to relate their own experiences Target Group: All students, engineers, and scientists, who aspire to kindle the “entrepreneur in her/him.

Faculty: Faculty: Dr. R.N. Narahari Prof. S A Shivashankar CeNSE (Professor Emeritus), IISc., Bengaluru. CeNSE., Email: [email protected] IISc., Bengaluru

Email: [email protected]

Reference Books 1. John Mullins Who Can apply? “The New Business Road Test: What Entrepreneurs and BE/B.Tech/Master in Science/Commerce Investors should do before Launching a Lean Start-up”; Person India Education Services PL, Noida, 2019. Course Fee: Rs. 15,000/- + 18% GST 2. Taraporevala, V J Online Seats are Limited to 100 “Law of Intellectual Property”, Online Classes using Microsoft Teams Published by Taraporevala. V J, Mumbai, 2005. Schedule: Saturday‟s – 1.00 pm. to 4.00 pm. 3. Meenakshi Raman and Sangeeta Sharma,. “Fundamentals of Technical Communication”, Oxford University Press, New Delhi, 2015.

20.Business Analytics with Management Science Models and Methods (3+0) Objectives: To provide business practitioners and those who are interested in Business Analytics a selected set of Management Science and Optimization Techniques along with the fundamental concepts, methods, and models for understanding prescriptive- analytics and implementation these techniques in the era of Big Data. Syllabus: Introduction to Business Analytics, Linear/Integer/Non-Linear Optimization, Optimization of Network Models, Dynamic Programming, Heuristic Programming, Goal Programming, Multi-Attribute Decision Making Methods, and Monte Carlo Simulation. These are believed to be among the most popular Prescriptive Analytics tools to solve a majority of business optimization problems, with case studies from Business, Industry, and Government (BIG) applications using LINDO/LINGO/CPLEX optimization package.

Target Group: Every Business, Industry and Government (BIG) organizations which has “Business Analytics‟ group to address various problems associated with Prescriptive Analytics, In addition, all Faculty and interested UG and PG Graduates in Engineering and Post Graduate in Business Administration/Management, Operations Research , Computer Science, Computer Applications, Mathematics, Statistics, Economics.

Faculty: Dr. M Mathirajan Chief Research Scientist, Dept. of M S., Faculty of Engineering,

IISc, Bengaluru. Email: [email protected]; [email protected]

Reference Books:

1. U Dinesh Kumar, Business Analytics: The Science of Data-Driven Who Can apply? Decision Making, Wiley India, 2017. BE/B.Tech., ME/M.Tech. MBA, and Master in Operations

Research, Computer Science, Computer Applications, 2. William P Fox, Mathematics, Statistics, and Economics. Mathematical Modeling for Business Analytics, CRC Press. Taylor & Francis Group, LLC. 2018. Course Fee: Rs. 15,000/- + 18% GST Online Seats are Limited to 100 3. Abben Asllani, Business Analytics with Management Science Online Classes using Microsoft Teams Models and Methods. Person Education 2015. Schedule: Saturday‟s - 1.00 pm. to 4.00 pm.

4. Waynel L Winston, Operation Research: Applications and Algorithms. Thomson, Belmont, CA (Sixth Indian Reprint 2010).

21.Online Course on Combinational Algorithms from the Indic Tradition (2+0)

Objectives: The combinational tradition is very pronounced in India starting from Pingala, then to stalwarts like Virahanka, Gopala, Hemachandra, Bhaskara II, Sarngdeva, Narayana. The objective of the course is to study combinatorics through these authors in a evidence-based way, by directly locating the combinatorics in the Sanskrit texts.

Syllabus:

Pingala‟s Chandahasastra and Counting Techniques, Virahanka („Fibonacci‟) series, Meru Prastara and others, Combinatorics in Bijaganita of Bhaskara, Sarngdeva‟s Sangitaratnakara, Narayana‟s Ganita Kaumudi.

Target Group:

Engineers in IT field, Philosophers and other curious individuals interested in history of Math/CS.

Faculty: Faculty: Prof. Gopinath Kanchi Dr. Shailaja D Sharma Professor, Adj Prof. (NIAS), Dept. of CSA., Bengaluru. IISc., Bengaluru. Email: [email protected]

Email: [email protected]

Reference Books Who Can apply? Any Graduate degree/Bachelor‟s Degree with Notes and Sanskrit texts, as pdf as no readily Math. avlbl text.

Pre- Requisites:

Good knowledge of one Indic language

Course Fee: Rs. 10,000/- + 18% GST Online Seats are Limited to 100 Online Classes using Microsoft Teams

Schedule: Saturday‟s -10.00 am. to 12.00 noon.

22.Online Course on Basics of Machine Learning (2+0)

Objective

To introduce concepts of Machine Learning and prepare him/her for advanced courses.

Syllabus: Review of Probability theory, Axioms of probability, mutually exclusive events, Conditional probability and Bayes‟ theorem, Independence, concept of Random Variables, discrete and continuous random variables, distribution and density functions, some standard discrete and continuous distributions, moments Statistics, mean and variance, unbiased estimates. Review of Linear Algebra- Vectors and matrices, rank of a matrix, transpose of a matrix, determinant of a matrix, Matrix multiplication-inner and outer products; inverse of a matrix, Eigen values and Eigen vectors. Definition of Machine learning, supervised and unsupervised machine learning, Classification and Regression, learning multiple classes, Dimensionality reduction - Principal component analysis. Clustering, Decision Trees, Linear Discriminant, introduction to Neural Networks, perceptron, Learning Boolean functions, multi-layer perceptron, training a neural network for pattern recognition, Back propagation, Naïve Bayes‟ classifier, Hidden Markov Model. Software development project using Python consisting of all the topics learnt. Target Group: Any Industries that deal with data analysis and management and academics interested in data science.

Faculty Faculty Dr. Gopal Krishna Sharma Prof. Muddu Sekhar Fiserv India Pvt. Ltd., Dept. of Civil Engineering, Bengaluru. IISc., Bengaluru. Email : [email protected] Email : [email protected]

Reference Books:

1. Ethem AIpaydin, Who Can apply? Introduction to Machine Learning, MIT Press, 2010. Any Engineering Degree with Mathematics Background

2. Laurene V Fausett Course Fee: Rs. 10,000/- + 18% GST Fundamentals of Neural Networks Online Seats are Limited to 100 Pearson Education

3. Kishor Trivedi Online Classes using Microsoft Teams Probability and Statistics with Reliability, Schedule: Saturday‟s: 2.00 pm. to 4.00 pm Queuing and Computer Science Applications. John Wiley Sons, 2002.

23. Online Course on Embedded Systems and IoT Sensors Applications (2+0)

Objectives: This course an Advanced Course as Design and Development of Embedded Systems using ARM Processors. Show cases plenty of plat forms, based on many ARM processors and Sensors, with complete Hardware and Software support.

Syllabus:

Familiarization of Open Source contents on Embedded Systems. Understanding ARM Architecture, eval kits, components, modules, operating systems, software and firmware support. Familiarization of many ARM Platforms like NXP, STMICRO, TI etc. Interface to many analog and digital IoT Sensors, and device drivers. Introduction to RF Modules like BT, LORAWAN, WiFi, Xbee, GPS. Demonstration of IoT based projects.

Target Group:

Hardware Electronic Engineers.

Faculty: Faculty: Mr. M Krishna Kumar ( Retd.), Mr. S M Narasimhan PRS., Dept. of ESE (CEDT), Researchers, IISc.., Bengaluru Bengaluru.

Email. [email protected] Email: [email protected]

Reference Books: Who can apply? 1. Jonathan W Valvano BE/B.Tech/ AMIE or equivalent. Embedded SystemsL Real-time Interfacing to ARM Cortex-M Microcontrollers Pre- Requisites: Volume 2 Fourth Edition, July 2014 Basic Knowledge in Analog, Digital Electronics and 2. Joseph Yiu Microcontrollers. System-on-Chip Design with Arm Cortex-M Processors. Course Fee: Rs. 10,000/- + 18% GST

3. Steve Furber Online Seats are Limited to 100 Arm System-On-Chip Architecture. Online Classes using Microsoft Teams Schedule: Saturday‟s – 2.00 pm to 4.00 pm

24. Online Course on Social and Information Network Analysis (3+0) Objectives: The course will cover both theoretical and practical aspects of information retrieval (IR), data mining (DM), graph mining that are important in dealing with social networks and information networks. The course will also cover specific background required for analyzing both structure and content associated with social and information networks.

Syllabus: This course combines IR, DM and Social and Information Networks. So, it will involve mining text and graph data. It will also involve both content and link analysis in social networks, network representation learning, embedding nodes, edges, cliques, and graphs. Relevant ML and DM tasks including association rules, classification and clustering will be covered.

Target Group: Both Practitioners and Researchers from Industry and Academics.

Faculty: Prof. M Narasimha Murty Honorary Professor, Dept. of CSA., IISc, Bengaluru. Email: [email protected]

Reference Books: Who can apply?

1. M N Murty and V Susheela Devi, BE in any branch or MSc/Physics//Statistics/Maths/Computer Introduction to Pattern Recognition and Machine Science, MCA Learning, World-Scientific, IISc Press, 2015. Pre-requisites: 2. J Leskovec, A Rajaraman and J Ullman, Mining Massive Data, Stanford University, 2014. Background of Programming, Matrices and Probability 3. Manning, Raghavan and Schutze, Course Fee: Rs. 15,000/- + 18% GST Introduction to Information Retrieval, Online Seats are Limited to 100 Cambridge University Press, 2008. Online Classes using Microsoft Teams Schedule: Sunday‟s – 10.00 am. to 1.00 pm

25. Online Course on Structural Dynamics in Earthquake and Blast Resistant Design (3+0) Objectives: To familiarise graduate, postgraduate students and also practicing engineers with basic structural dynamics required in designing structures for dynamic loads due to earthquake and blast. The course also helps in interpreting the code ISI893.

Syllabus: Free and forced vibrations of Single and multidegree of freedom systems, Undamped and damped, Response to sinusoidal, impulse and pulse inputs of various types like rectangular, triangular, ramp and arbitrary. Duhamel‟s integral, Response to support motion, Response of system to earthquake and blast. Modal summation, Response spectrum, SRSS, Torsional response, Inelastic response, Ductility, design for ductility, Pushover analysis, Capacity spectrum, some practical examples.

Target Group: Graduate and Postgraduate Students, Design Consulting Engineers, Engineering Scientists from R&D units both Private and Public Sector.

Faculty: Prof. B K Raghu Prasad (Retd.) Dept. of Civil Engineering, IISc, Bengaluru. Email: [email protected]

Reference Books:

1. J M Biggs, Introduction to Structural Dynamics, Who can apply? McGraw-Hill Book Company, 1964.

2. Anil K Chopra, BE in Civil Engineering Dynamics of Structures, Theory and Applications Course Fee: Rs. 15,000/- + 18% GST to Earthquake Engineering, Pearson Education Asia, 2001. Online Seats are Limited to 100 3. The Faculty will be mostly following book Online Classes using Microsoft Teams authored by him which is new and may not be still be easily available. The book is Schedule: Tuesday & Thursday – 6.00 pm. to 7.30 pm B K Raghu Prasad, Structural Dynamics in Earthquake and Blast Resistant Design, CRC Press, Taylor and Francis Group.

26.Online Course on Contemporary Social Environment (2+0)

Objectives: The course on Contemporary Social Environment strives to look at the current issues facing the Social Environment across the globe, with special focus on India. The course will help to understand the contemporary discourses and dialogues in the social environment, and how India is faring with respect to them. We will also discuss India‟s commitment on social and economic equity. The course will help one to appreciate the Indian ethos of development as also give a perspective to the changing international environment. Syllabus: Module 1: Understanding Indian Economic thought - Development models of the Indian States, Indian Growth model in comparison to the growth models of Asian countries - Welfare States in the World Module 2: MDGs and SDGs, UNDP – HDI of India and Indian States, Policies of World Bank, IMF – Private and social returns to Education; Discrimination and Positive Affirmation; Productivity effects of Health and Nutrition, Housing, Water supply, Sanitation issues – Gender disparities; Unemployment and Migration Module 3: Environmental Issues and Regenerative Economics – Public Private Partnership models – Bottom of Pyramid model, Corporate and Social Responsibility Target Group: Research Students, College Teachers, Management Professionals, CSR and Social Work Professionals, Government Officers

Faculty: Faculty: A.Indira, Prof.Anjula Gurtoo, Ph.D(Economics), ISEC, Bengaluru; Dept. of M S M.Tech (Mgt Studies), IISc, Bengaluru IISc. Bengaluru. Academician and Action Researcher. Email: [email protected] Formerly faculty at Loyola Institute of Business Administration, Chennai, Administrative Staff College of India, Hyderabad; Xavier Institute of Management, Bhubaneswar. Email: [email protected]

Reference Books: Who can apply?

1. Levy, Brian: Working with the Grain, 2014, Oxford Master‟s Degree in Any Discipline University Press. Course Fee: Rs. 10,000/- + 18% GST

2. Dreze, Jean and Sen, Amartya: An Uncertain Glory: India Online Seats are Limited to 100

and its Contradictions, 2013, Allan Lane. Online Classes using Microsoft Teams Schedule: Tuesday‟s – 6.00 pm. to 8.00 pm

27.Online Course on Contemporary Economic Environment (2+0)

Objectives: This course brings the tools to understand Contemporary Economic Environment in today‟s increasingly competitive and globalized world. The course while explaining the relationships among crucial macroeconomic parameters would enable one to understand the various factors and policy measures that impact decision-making in any walk of life. The course helps to approach macroeconomic, institutional and international data and derive information from the indicators that point to the types of opportunities and risks that are present in an economy.

Syllabus: Module 1: Macro Economic Environment– Introduction. Understanding National Income; Stages and Strategies of Economic Development; Role of the State in Economic Growth and Development Module 2: Prices – Inflation Targeting and Employment – Consequences and Policy measures; Monetary and Fiscal Policy – Industrial Policy. Module 3: India and the World Economy – Problems and Prospects of Economic Growth in a Globalized World; International Trade and Open Economy – Foreign Exchange and Balance of Payments

Target Group: Research Students, College Teachers, Management Professionals, CSR and Social Work Professionals, Government Officers

Reference Books: Who can apply? Master‟s Degree in Any Discipline 1. William A.McEachern and A.Indira, Principles of Macroeconomics – A South Asian Course Fee: Rs. 10,000/- + 18% GST Perspective, Cengage Learning India Private Ltd, 2e, 2018. Online Seats are Limited to 100

2. Paul A Samuelson and William D.Nordhaus, Online Classes using Microsoft Teams Economics, 19e, 2011 Schedule: Wednesday‟s – 6.00 pm. to 8.00 pm 3. Ruddar, Datt and K.P.M. Sundaram, Indian Economy, Sultan Chand and Sons, New Delhi, 2004.

Appendix „A‟ PROFORMA

NAME OF THE COLLEGE

PROVISIONAL CERTIFICATE

This is to certify that Sri/ Smt. ………………………………. was a student of this college studying in ……………………………* Course ……………………………………………………….** Branch during the Session …………………. to ……………………………………..…

He / She have Successfully Completed the course as prescribed by the ……….………... …………………………………………………………………………………………...... University with regard to course of study, attendance, sessional requirements etc.

He / She has passed the final ……………………………..* examination held during ……………………… securing …………………..class as per the results announced by the University. He / She will be awarded the …………………………. …..degree during the next convocation of the university.

College Seal Date: PRINCIPAL

*Appropriate course to be filled in (B.E., B.Tech., M.E., M.Tech., M.Sc., and M.Com. MBBS. Etc.) **Mention Civil, Electrical, Electronics, Chemistry, Biology, Etc.

IMPORTANT DATES

Online application starts at th Wednesday CCE Portal 18 November 2020

th 18 November 2020 Wednesday Receipts of application along From 27th December 2020 Sunday with fees (upto) To 03rd January 2021 Sunday

Classes Commence To 04th January 2021 Monday

From 03rd May 2021 Monday Final Exams To 08th May 2021 Saturday

CCE-PROFICIENCE Coordinator, Indian Institute of Science, Bangalore - 560 012

Phone: + 91 080 22932508

E-mail: [email protected]

URL: www.cce.iisc.ac.in/proficience

Working Hours: Monday through Friday: 09.30 hrs. to 19.00 hrs. Saturdays‟: 10.00 hrs. to 16.00 hrs.