Course Syllabus

Course Information：

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2026	363993	Managerial Decision Making Models	1	3.0	3	★	Tsai Jung-Fa	GBM	4	0

Course Plan：

Instructor	Tsai Jung-Fa　Office Hours
Email	jftsai@ntut.edu.tw
Last Updated	2026-06-04 15:38:17
Course Objective	The purpose of this course is to discuss how to use quantitative management decision-making models to analyze various management problems. The methods for solving the decision-making models include: linear programming, integer programming, nonlinear programming, hierarchical analysis process and network process etc. The course content is mainly based on case illustrations such that students can understand how the theory is combined with practical problems. Therefore, various practical application problems in engineering and management will be used to explain the models. Optimization software and decision-making tools will be used to solve the problems and assist in explaining the management implications of the obtained data, and perform model cost-benefit analysis.
Course Schedule	W1 Introduction to quantitative management decision-making models W2 Linear programming: application problems solved with Lingo W3 Linear programming: application problems solved with Lingo W4 Linear programming: application problems solved with Lingo W5 Linear programming: application problems solved with Lingo W6 Simplex method W7 Duality and sensitivity analysis (Homework 1 due) W8 Goal programming W9 Integer linear programming: application problems W10 Integer linear programming: application problems W11 Integer linear programming: application problems W12 Midterm exam W13 Decision analysis W14 Decision analysis (Homework 2 due) W15 Game theory with application problems W16 Presentation & paper discussion W17 Presentation & paper discussion W18 Presentation & paper discussion
Evaluation and grading policy	Homework: 15% Midterm: 35% Paper presentation: 35%(Papers selected from Journal: INFOR, MS, OR, EJOR, C&OR…) Present situation: 15% (No more than three absences)
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Textbook: Hamdy A. Taha, Operations Research- an introduction, 2017, 10th Edition, Prentice Hall. References: 1、Optimization Modeling with Lingo, LINDO System INC. 2、Wayne L. Winston, Operations Research- Applications and Algorithms, 2004, Thomson. 3、Selected journal papers.
The access to curricular consultation	1. Email: jftsai@ntut.edu.tw 2. Office hour: Wednesday 9:00AM~4:00PM at TB 11 floor, 1132r.
Expanding teaching and resources	● 無 (None)
The course corresponds to the SDGs	SDG4：優質教育（Quality Education）
Does the course incorporate AI	● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools） ● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）
Note	If Taipei Tech announces distance learning, the course will be conducted by: Online course platform: Teams or WEBEX. Course materials: Taipei Tech iStudy. Announcement via: Email, LINE. Contact instructor:Email: jftsai@ntut.edu.tw