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 361887 Decision Analysis 1 3.0 3 ★ SHEAU-FARN LIANG 4IEM3A
4IEM3B 40 0 工管三甲乙合開

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2026	361887	Decision Analysis	1	3.0	3	★	SHEAU-FARN LIANG	4IEM3A 4IEM3B	40	0	工管三甲乙合開

Course Plan：

Instructor SHEAU-FARN LIANG　Office Hours

Email maxliang@ntut.edu.tw

Last Updated 2026-06-05 08:52:42

Course Objective This course provides an overview of the basic concepts of decision theory and their applications on the real-world decision problems. Students will learn about the identification and modeling of decision problems, the modeling and estimation of uncertainties, and the modeling and evaluation of preferences.

Course Schedule Module 1 Decision (W1~6) 1: Introduction 2: Elements of decision problems 3: Structuring decisions 4: Making choices 5: Sensitivity analysis 6: Creativity and decision making Module 2 Uncertainty (W7~8, W9: mid-term exam, W10~13) 1: Probability basics 2: Subjective probability 3: Theoretical probability models 4: Using data 5: Monte Carlo simulation 6: Value of Information Module 3 Preference (W14~17, W18: final exam) 1: Risk attitudes 2: Utility axioms, paradoxes, and implications 3: Conflicting objectives I 4: Conflicting objectives II

Evaluation and grading policy Mid-term exam: 25% Final exam: 25% Homework and Participation: 50%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
Making hard decisions with DeccisionTools (2001) by Clemen and Reilly, Duxbury (雙葉)

The access to curricular consultation maxliang@ntut.edu.tw

Expanding teaching and resources ● 參與式創新教學 (Participatory & Innovative Teaching)
強調學生參與與產出，導入翻轉、PBL/專題、設計思考或遊戲化等策略。
Emphasizes student engagement and outcomes by adopting strategies such as Flipped Classroom, PBL (Problem/Project- Based Learning), Design Thinking, or Gamification.

The course corresponds to the SDGs 無（None）

Does the course incorporate AI ● 無（None）

Note
　

Instructor	SHEAU-FARN LIANG　Office Hours
Email	maxliang@ntut.edu.tw
Last Updated	2026-06-05 08:52:42
Course Objective	This course provides an overview of the basic concepts of decision theory and their applications on the real-world decision problems. Students will learn about the identification and modeling of decision problems, the modeling and estimation of uncertainties, and the modeling and evaluation of preferences.
Course Schedule	Module 1 Decision (W1~6) 1: Introduction 2: Elements of decision problems 3: Structuring decisions 4: Making choices 5: Sensitivity analysis 6: Creativity and decision making Module 2 Uncertainty (W7~8, W9: mid-term exam, W10~13) 1: Probability basics 2: Subjective probability 3: Theoretical probability models 4: Using data 5: Monte Carlo simulation 6: Value of Information Module 3 Preference (W14~17, W18: final exam) 1: Risk attitudes 2: Utility axioms, paradoxes, and implications 3: Conflicting objectives I 4: Conflicting objectives II
Evaluation and grading policy	Mid-term exam: 25% Final exam: 25% Homework and Participation: 50%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Making hard decisions with DeccisionTools (2001) by Clemen and Reilly, Duxbury (雙葉)
The access to curricular consultation	maxliang@ntut.edu.tw
Expanding teaching and resources	● 參與式創新教學 (Participatory & Innovative Teaching) 強調學生參與與產出，導入翻轉、PBL/專題、設計思考或遊戲化等策略。 Emphasizes student engagement and outcomes by adopting strategies such as Flipped Classroom, PBL (Problem/Project- Based Learning), Design Thinking, or Gamification.
The course corresponds to the SDGs	無（None）
Does the course incorporate AI	● 無（None）
Note