Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
1. Understand optimization approaches to engineering design of microsystem.
2. Study the numerical optimization techniques for microsystem design.
3. Practice the systematic process on a semester-long project using CIC foundry service.
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topic Discussion/Production |
Exercises |
Discussion |
Lecturing |
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Oral Presentation |
Assignment |
Quiz |
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Course Content and Homework/Schedule/Tests Schedule |
Week |
Course Content |
Week 1 |
Formulation of optimization problems |
Week 2 |
Optimization concepts using the graphical method |
Week 3 |
Optimality conditions for unconstrained and constrained problems |
Week 4 |
Use of Excel and MATLAB illustrating optimum design of practical problems |
Week 5 |
Linear programming |
Week 6 |
Numerical methods for unconstrained and constrained problems |
Week 7 |
Theory and numerical methods for unconstrained optimization |
Week 8 |
Theory and numerical methods for constrained optimization |
Week 9 |
Introduction to microsystem design |
Week 10 |
CMOS MEMS foundry service |
Week 11 |
Design of microsensors and microactuators |
Week 12 |
Mask layout |
Week 13 |
DRC |
Week 14 |
Analysis of microsystem |
Week 15 |
Methods for discrete variable problems for MEMS |
Week 16 |
Nature-inspired search methods for MEMS |
Week 17 |
self-directed learning, topic: MEMS optimization |
Week 18 |
self-directed learning, topic: MEMS optimization, submit a report to TA |
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Evaluation |
Homework 50%, Project 50% |
Textbook & other References |
J.S. Arora, “Introduction to optimum design 3rd edition”, Elsevier, 2012 |
Teaching Aids & Teacher's Website |
ilearning |
Office Hours |
Tuesdays 11 – noon |
Sustainable Development Goals, SDGs |
09.Industry, Innovation and Infrastructure | include experience courses:N |
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