教學大綱與進度

課程基本資料：

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
113-1	337913	工程最佳化與應用	1	3.0	3	★	陳詩雯	自動化所 智慧鐵道學位學程 機電博所 機電外國學生專班	49	2	自動化所、鐵道、機電科博及外生班合開

教學大綱與進度：

教師姓名	陳詩雯　教師諮商時間(Office Hours)
Email	shihwen@mail.ntut.edu.tw
最後更新時間	2024-05-22 17:13:40
課程大綱	Engineering Optimization Concepts, Linear Programming Methods, Nonlinear Programming Methods, Multi-objective Optimization, Introduction to Modern Mathematical Programming Techniques, and Optimum Design of Precision Machine Components and Systems.
課程進度	Week 1 (9/9) : Introduction Week 2 (9/16) : Programming with MATLAB Week 3 (9/23) : Basic Math Review Week 4 (9/30) : Basic of Optimization Methods Week 5 (10/07) : One-Dimension Search Week 6 (10/14) : Newton’s Method Week 7 (10/21) : Gradient Methods Week 8 (10/30) : Malab program Week 9 (11/04) : Mid-term project presentation Week 10 (11/11) : Least square method Week 11 (11/18) : Genetic algorithm Week 12 (11/25) : Linear Programming Week 13 (12/2) : Nonlinear Programming Week 14 (12/9) : Numerical Methods Week 15 (12/16) : Optimization under Uncertainty Week 16 (12/23) : Toolbox of MATLAB Week 17 (12/30) : Toolbox of MATLAB Week 18 (1/6) : Final Project Presentation
評量方式與標準	Homework assignment 40% A mid-term presentation 30% A final presentation 30%
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】 使用外文原文書：是 P. Venkataraman, ‘Applied Optimization with MATLAB programming’, Wiley, 2009 Andreas Antoniou, Wu-Sheng Lu, ‘Practical Optimization: Algorithms and Engineering Applications’, Springer, 2021 Urmila M. Diwekar, ‘Introduction to Applied Optimization’, Springer, 2020 Steven C. Chapra, ‘Applied Numerical Methods with MATLAB for Engineers and Scientists’, McGraw Hill, 2018
課程諮詢管道	Office : Complex Bldg. B09-1 Phone : ext. 4321 Email : shihwen@ntut.edu.tw Office Hours : 10:00-18:00 (Tues.)
課程對應SDGs指標	SDG1：消除貧窮（No Poverty） SDG3：良好健康和福祉（Good Health and Well-being）
課程是否導入AI
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