NCHU Course Outline
Course Name (中) 設計最佳化(6840)
(Eng.) Optimization of Design
Offering Dept Graduate Institute of Precision Engineering
Course Type Elective Credits 3 Teacher WANG, DUNG-AN
Department Graduate Institute of Precision Engineering/Graduate Language English Semester 2025-SPRING
Course Description The course presents optimization techniques for microsystem design. It introduces numerical techniques of design optimization methods. Approaches of various optimization approaches and their applications to appropriate problems are presented. Class exercises and homework include analyses and optimization design of microsystems, and a semester long project using CIC foundry service.
Prerequisites
self-directed learning in the course Y
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.
topic Discussion/Production
Exercises
Discussion
Lecturing
Oral Presentation
Assignment
Quiz
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
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 Infrastructureinclude experience courses:N
Please respect the intellectual property rights and use the materials legally.Please repsect gender equality.
Update Date, year/month/day:2025/01/11 12:22:45 Printed Date, year/month/day:2025 / 1 / 22
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