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	0	綜科610

Course Plan：

Instructor	Hsiu-Ying Hwang　Office Hours
Email	hhwang@ntut.edu.tw
Last Updated	2024-12-18 17:19:53
Course Objective	The course focuses on the fundamental theory and concept 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 out their own term project at the end of the semester. In this semester, University Social Responsibility (USR) concept is brought into the class. Encourage student to participate the USR project. Guide students to apply the optimization method in the thinking and planning process. Through the study, students can have better understanding about the optimization principle and apply it to the daily activities. It is expected that students can apply what have learned in the classes to their own daily activities, vehicle design, and research applications; and combine USR project into the term projects. (Taught in English) The Week 17-18 will be hold in re-mote, on-line manner. The class link is follows. Method: Remote Class Students: No need to come to the school but need to attend the online classes Classroom: Places for online in-time classes Class Material: i-School https://istudy.ntut.edu.tw/learn/index.php Class Link: GoogleMeet https://meet.google.com/hbe-npat-gpu
Course Schedule	a. Week b. Topic 1 Syllabus and Introduction to Design (Ch1) -- A general overview of the course. The USR program is introduced into the class. Off-campus visits to county-side schools will be arranged. Students are encouraged to participate in the USR project. Guide students to apply optimal methods in the planning and design of the USR program. 2 Optimum Design Problem Formulation (Ch2) 3 Optimum Design Problem Formulation (Ch2) -- Arrange USR model car for 3D printing utilizing lightweight optimization design approach for the coming Friday USR activities. 4 Graphical Optimization (Ch3) -- Introduce the concept and application of lightweight design. With limited materials, using USR project’s target vehicle as an example (for the USR preparation), we optimize/reduce vehicle materials. 5 Optimum Design Concepts (Ch4) -- introducing the design concept for electric vehicles. Using the commercial codes for optimization design analysis to improve the strength of the body structure of the USR project’s target vehicle. 6 Optimum Design Concepts: Global & Lagrange Multipliers (Ch4) 7 Optimum Design Concepts: KKT (Ch5) 8 Linear Programming: Initial Basic Feasible Solution (Ch6) -- Lightweight USR vehicle is arranged on the coming Friday activities. 9 Linear Programming (Ch6) Midterm Exam. Define project. Report outline due next week. 10 Linear Programming: Duality (Ch7); Numerical Methods for Unconstrained Design (Ch8) 11 Numerical Methods for Unconstrained Design (Ch 8&9) 12 Numerical Methods for Unconstrained Design (Ch9) -- Arrange field trip to introduce USR program and electric vehicles to promote off-campus teaching 13 Numerical Methods for Constrained Design (Ch10) -- Invite industry experts to share, introduce the design of electric vehicles, and how to use the USR vehicle as an example to conduct various optimization design and analyses. 14 Numerical Methods for Constrained Design (Ch 10&11) 15 Numerical Methods for Constrained Design (Ch11) 16 Final Exam, Practical Design Optimization (Others) 17 Project Presentation -- Groups participating in the USR project report their optimal design for different systems, and/or sub-systems. (on-line class linke: https://meet.google.com/hbe-npat-gpu) 18 Class Review & Final Exam -- After the final exam of the semester, 2 field trips for USR program are arranged to promote the application of electric vehicles. (on-line class linke: https://meet.google.com/hbe-npat-gpu) The Week 17-18 will be hold in re-mote, on-line manner. The class link: https://meet.google.com/hbe-npat-gpu
Evaluation and grading policy	1. Midterm Exam：20 % 2. Final Exam: 26% 3. Homework：24 % 4. Project written report (12%),Project oral presentation (12%) 5. In-class discussion, participation & attendance (6%) 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 no point. 7. Report is due the day of the oral presentation. 3 points would be subtracted per each single day delay. Delaying for 4 days or more would get no point. 8. Copy and cheating are not allowed. If found copy and cheating, 0 point for the events.
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Class Title: Engineering Optimization Methods and Applications Class Schedule： 6:30-9:20 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 posed on Academic Affairs Office web.) 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 textbook 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 Hour: 8:00-12:00, 1:00-3:00, Tuesday (reference only). Please e-mail or call to make an appointment prior 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 on-line: https://meet.google.com/hbe-npat-gpu
The course corresponds to the SDGs	SDG4：優質教育（Quality Education） SDG11：永續城市與社區（Sustainable Cities and Communities）
Note	By default, we will have in-classroom course. The classes will be adjusted according to the COVID19 condition. If needed, the classes will run online remotely. If re-mote classes, the class link: https://meet.google.com/hbe-npat-gpu This course introduces USR program which is linked with SDG 11 and 4. SDGs: 11.Make cities and human settlements inclusive, safe, resilient and sustainable； 4.Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all.