Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Fall Semester
Year 2017 233037 Application and design of engineering software 1 3.0 3 ★ Tsai Shun-Hung GAT 10 1 　

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2017	233037	Application and design of engineering software	1	3.0	3	★	Tsai Shun-Hung	GAT	10	1

Course Plan：

Instructor Tsai Shun-Hung

Email shtsai@ntut.edu.tw

Last Updated 2017-06-05 10:22:46

Course Objective 中文課程概述：本課程主要分成兩部份，第一部份將介紹如何使用工程軟體解決數值分析的相關問題。除此之外，本課程將培養同學在相關專業科目其工程軟體設計的技巧，並利用工程軟體所學之技巧解決各種工程問題。

Course Schedule week 1 Introduction week 2 Operations of vector and matrix week 3 Initial value problem week 4 Euler’s method and Heun’s method week 6 Predictor-Corrector methods week 7 Runge-Kutta methods (1) week 8 Runge-Kutta methods (2) week 9 Midterm examination week 10 Multi-steps method (Adams method) week 11 Simulink application for initial value problem and nonlinear systems week 12 K-means clustering week 13 Fuzzy c-means clustering week 14 Identification and modeling week 15 LMIs week 16 Symbolic operations week 17 Project Presentation week 18 Final examination

Evaluation and grading policy 1. 期中考30% 2. 期末考 30% 3. 小考 20% . 作業 20%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
Lecture notes and selected papers

The access to curricular consultation

Note
　

Instructor	Tsai Shun-Hung
Email	shtsai@ntut.edu.tw
Last Updated	2017-06-05 10:22:46
Course Objective	中文課程概述：本課程主要分成兩部份，第一部份將介紹如何使用工程軟體解決數值分析的相關問題。除此之外，本課程將培養同學在相關專業科目其工程軟體設計的技巧，並利用工程軟體所學之技巧解決各種工程問題。
Course Schedule	week 1 Introduction week 2 Operations of vector and matrix week 3 Initial value problem week 4 Euler’s method and Heun’s method week 6 Predictor-Corrector methods week 7 Runge-Kutta methods (1) week 8 Runge-Kutta methods (2) week 9 Midterm examination week 10 Multi-steps method (Adams method) week 11 Simulink application for initial value problem and nonlinear systems week 12 K-means clustering week 13 Fuzzy c-means clustering week 14 Identification and modeling week 15 LMIs week 16 Symbolic operations week 17 Project Presentation week 18 Final examination
Evaluation and grading policy	1. 期中考30% 2. 期末考 30% 3. 小考 20% . 作業 20%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No Lecture notes and selected papers
The access to curricular consultation
Note