NCHU Course Outline
Course Name (中) 最佳化演算法與應用(6782)
(Eng.) Optimization Algorithms with Applications
Offering Dept Department of Electrical Engineering
Course Type Elective Credits 3 Teacher CHEN, CHENGLUN
Department Industrial Technology Master Program in Electronic Systems(R)Graduate Language 中/英文 Semester 2026-SPRING
Course Description This course will cover the fundamental aspects of optimization methods and their application in systems and control.
這門課採用原文參考書，課程教材與評量試卷語言皆為英文，授課語言為中文但專有名詞會以英文為主。
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
▪ Mathematical Review
▪ Unconstrained Optimization
▪ Least-Square Analysis
▪ Constrained Optimization: Linear Programming, Nonlinear Programming
▪ Search for Global Optimum
▪ Multiobjective Optimization
▪ Combinatorial Optimization
▪ Application: Neural Networks for Machine Learning, Practical Guide to Neural Network Design, etc
Lecturing
Exercises
Quiz
Assignment
Written Presentation
Internship
Course Content and Homework/Schedule/Tests Schedule
Week Course Content
Week 1 Course Info; Optimization Fundamentals
Week 2 Mathematical Review; HW#1
Week 3 Unconstrained Optimization; HW#2
Week 4 Unconstrained Optimization
Week 5 Constrained Optimization (NP); HW#3
Week 6 Constrained Optimization (NP)
Week 7 Constrained Optimization (NP)
Week 8 Midterm exam week; Midterm Exam
Week 9 Least-Square Analysis; HW#4
Week 10 Constrained Optimization (LP)
Week 11 Search for Global Optimum; HW#5
Week 12 Multiobjective Optimization
Week 13 Introduction to MATLAB Optimization Toolbox; Final code project
Week 14 Introduction to MATLAB Global Optimization Toolbox
Week 15 Introduction to MATLAB Global Optimization Toolbox
Week 16 Final exam week
self-directed
learning		    02.Viewing multimedia materials related to industry and academia.
Evaluation
Homework 50%
Midterm exam 25%
Final code project 25%
Textbook & other References
Primary Textbook:
E. K. P. Chong and S. H. Zak. An Introduction to Optimization With Applications to Machine Learning (5th edition), John Wiley & Sons, 2024.

References:
1. A. Ravindran et al. Engineering Optimization: Methods and Applications (2nd edition), John Wiley & Sons, 2006.
2. S. S. Rao. Engineering Optimization: Theory and Practice (4th edition), John Wiley & Sons, 2009.
3. MATLAB Optimization Toolbox User’s Guide, MathWorks Inc.
4. MATLAB Global Optimization Toolbox User’s Guide, MathWorks Inc.
Teaching Aids & Teacher's Website
請從課程共享資料夾下載 (加入課程 LINE 群組後會提供連結)
Office Hours

Sustainable Development Goals, SDGs(Link URL)
04.Quality Education   09.Industry, Innovation and Infrastructure   10.Reduced Inequalitiesinclude experience courses：N
Please respect the intellectual property rights and use the materials legally.Please respect gender equality.
Update Date, year/month/day：2026/02/20 03:33:13 Printed Date, year/month/day：2026 / 3 / 10
The second-hand book website：http://www.myub.com.tw/