Course Syllabus

Course Information：

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

Fall Semester
Year 2025 348370 Operations Research I 1 3.0 3 ▲ Liou jiann-haw 4IEM2A 42 0 　

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2025	348370	Operations Research I	1	3.0	3	▲	Liou jiann-haw	4IEM2A	42	0

Course Plan：

Instructor Liou jiann-haw　Office Hours

Email jhliou@ntut.edu.tw

Last Updated 2025-05-27 15:40:14

Course Objective 使學生建立邏輯量化思考，並了解管理科學解決問題之方法及應用，且有能力利用電腦工具協助分析經營管理問題，達成最佳化決策。 To build the quantitative logic thinking about the decision problems. The course is designed to introduce the fundamental techniques and methods of operations research. The related software will be utilized to aid in building and solving models. The topics to be covered: linear programming, what-if analysis, dual theory, transportation and assignment.

Course Schedule Week 1 Matrix Week 2-3 Introduction to linear programming Week 4-5 Solving linear programming problem: The simplex method Week 6-8 The theory of the simplex method Week 9 Mid-term test Week 10-14 Duality theory and sensitivity analysis Week 15 Other Algorithms for linear programming Week 16-17 The transportation and assignment problem Week 18 Final Exam

Evaluation and grading policy Quiz 30% Assignment 10% Midterm 25% Final 35%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
Introduction to operations research (McGraw Hill) Frederick S. Hillier Gerald J. Lieberman

The access to curricular consultation Create a line group and ask every student to join the group

The course corresponds to the SDGs 無（None）

Does the course incorporate AI 無（None）

Note
　

Instructor	Liou jiann-haw　Office Hours
Email	jhliou@ntut.edu.tw
Last Updated	2025-05-27 15:40:14
Course Objective	使學生建立邏輯量化思考，並了解管理科學解決問題之方法及應用，且有能力利用電腦工具協助分析經營管理問題，達成最佳化決策。 To build the quantitative logic thinking about the decision problems. The course is designed to introduce the fundamental techniques and methods of operations research. The related software will be utilized to aid in building and solving models. The topics to be covered: linear programming, what-if analysis, dual theory, transportation and assignment.
Course Schedule	Week 1 Matrix Week 2-3 Introduction to linear programming Week 4-5 Solving linear programming problem: The simplex method Week 6-8 The theory of the simplex method Week 9 Mid-term test Week 10-14 Duality theory and sensitivity analysis Week 15 Other Algorithms for linear programming Week 16-17 The transportation and assignment problem Week 18 Final Exam
Evaluation and grading policy	Quiz 30% Assignment 10% Midterm 25% Final 35%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Introduction to operations research (McGraw Hill) Frederick S. Hillier Gerald J. Lieberman
The access to curricular consultation	Create a line group and ask every student to join the group
The course corresponds to the SDGs	無（None）
Does the course incorporate AI	無（None）
Note