Course Syllabus

Course Information：

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2025	342352	Engineering Optimization Methods and Applications	1	3.0	3	★	Hsiu-Ying Hwang	GVE	12	1	配合USR計畫 綜科610

Course Plan：

Instructor	Hsiu-Ying Hwang　Office Hours
Email	hhwang@ntut.edu.tw
Last Updated	2025-04-27 13:32:28
Course Objective	Course Title: Engineering Optimization Methods and Applications The course focuses on the fundamental theory and concepts of "Engineering Optimization Methods," "Linear Programming," "Nonlinear Programming," "Multi-objective Function Optimization," "Modern Mathematical Planning Methods," and "Cross-Attribute System Optimization." Hands-on practices using optimization software and term projects are some key elements. Students will report their term projects at the end of the semester. Throughout the semester, students can better understand the optimization principle and apply it to their daily activities. The University Social Responsibility (USR) concept will be brought into the class this semester. Guide students to apply the optimization method in their term projects, vehicle designs, and research applications.
Course Schedule	Course Title: Engineering Optimization Methods and Applications a. Week, b. Topic 1、 Outline of teaching syllabus and design (Chapter 1)--A general overview of the course. The USR program is introduced into the class. Students are encouraged to use the vehicles used in USR as the course term project. Guide students to apply optimal methods in the USR vehicles. 2、 Formulation of the optimization design problem (Chapter 2). 3、 Formulation of the optimization design problem (Chapter 2). 4、 Optimizing design by drawing method (Chapter 3). Introduce the lightweight design concept by using fewer materials and still satisfying the design requirements. 5、 The basic concept of optimal design (Chapter 4) (Use USR simplified 3D printing model for lightweight design optimization exercises.) 6、 Optimal Design Concepts: Global Optimization and Lagrange multipliers (Chapter 4). 7、 Optimal Design Concepts: KKT (Chapter 5). (Introduce the general design concept for electric vehicles. Use the vehicle of the USR project as an example for design improvement.) 8、 Linear Programming: Initial Basic Feasible Solution (Chapter 6). 9、 Midterms, Solving Linear Programming (Chapter 6) & Semester Project planning. 10、 Linear Programming: Duality (Chapter 7); Numerical Methods for Unconstrained Optimal Design (Chapter 8) 11、 Numerical Methods for Unconstrained Optimal Design (Chapters 8 and 9) 12、 Numerical methods for unconstrained optimal design (Chapter 9). 13、 Numerical Methods for Constrained Optimal Design (Chapter 10). (Introduce the design optimization software and use the USR vehicle as an example to conduct various design analyses and optimization.) 14、 Numerical Methods for Constrained Optimal Design (Chapters 10 and 11). 15、 Numerical Methods for Constrained Optimal Design (Chapter 11). 16、 Other physical applications. Report on term projects/USR vehicle project design optimization. 17、 Report on project/USR optimal and lightweight design for different systems, and/or sub-systems. 18、 Final exam.
Evaluation and grading policy	Course Title: Engineering Optimization Methods and Applications 1. Midterm Exam: 20 % 2. Final Exam: 25% 3. Homework: 15 % 4. Project written report (15%), Project oral presentation (15%) 5. In-class discussion, participation & attendance (10%) 6. Homework is due a week away from the day assigned. 2 points would be subtracted per each single day delay, Delaying for 2 days or more would get 0 points. 7. The report is due on the day of the oral presentation. 3 points would be subtracted per each single-day delay. Delaying for 4 days or more would get 0 points. 8. Copying and cheating are not allowed. If found copying and cheating, 0 points for the events. 9. Term project reports are due in week 18. (including conference paper, PPT, and all data, analysis model files, literature, and all supporting material.)
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Class Title: Engineering Optimization Methods and Applications Class Schedule： 4:10-7:00 PM, Monday (Please base on the course schedule posed on Academic Affairs Office web.) Classroom: 610 , Integral Complex Building (Please base on the course schedule posted on the Academic Affairs Office website.) Textbook： Introduction to Optimum Design by Jasbir S. Arora; Publisher: Elsevier Academic Press Reference： Numerical Optimization Techniques for Engineering Design by Gary Vanderplassts; Publisher: McGraw-Hill It’s illegal to make copies of textbooks or reference books. Methodology & Activities： 1. Textbook lead 2. In-Class Discussion 3. Demonstration 4. Homework/Project Discussion 5. Practical Examples Discussion 6. Computer-Aided Teaching Exercise Others: Instructor: Hsiu-Ying Hwang Office Hours: 8:00-12:00, 1:00-3:00, Tuesday (reference only). Please email or call to make an appointment before the meeting. Email: hhwang@mail.ntut.edu.tw Office Room 526-12, 5th Floor, Complex Building, TEL: (02) 27712171 ext 3618
The access to curricular consultation	Tuesday 9:00-12:00, 13:00-16:00. Please e-mail or call to make an appointment. hhwang@mail.ntut.edu.tw 綜科 526-12 02-27712171#3618, #1271 If online: https://meet.google.com/hbe-npat-gpu
The course corresponds to the SDGs	SDG4：優質教育（Quality Education） SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth） SDG11：永續城市與社區（Sustainable Cities and Communities）
Does the course incorporate AI
Note	By default, we will have an in-classroom course. The classes will be adjusted according to the COVID19 condition. If needed, the classes will run online remotely. If remote classes, the class link: https://meet.google.com/hbe-npat-gpu This course introduces the USR program which is linked with SDG 11, 4, and 8. SDG 11. Sustainable Cities and Communities; SDG 4. Quality Education; SDG 8. Decent Work and Economic Growth.