Course Syllabus

Course Information：

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

Spring Semester
Year 2025 345422 Research Methodology 1 3.0 3 ★ Liou jiann-haw GIEM 41 0 與IMBA合開

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2025	345422	Research Methodology	1	3.0	3	★	Liou jiann-haw	GIEM	41	0	與IMBA合開

Course Plan：

Instructor Liou jiann-haw　Office Hours

Email jhliou@ntut.edu.tw

Last Updated 2024-12-17 16:24:58

Course Objective 先修課程：負責教授同意。使學生瞭解科學研究的特性、研究的類型、測量的程序與工具、資料的收集、資料的分析、撰寫研究計畫的方法，在從事管理問題之研究與探討時，知道如何正確選用適當方法，並取得所需資訊。 This course will introduce the selection of a research topic, construction of a bibliography, literature survey and data collection, and preparation of a research proposal.

Course Schedule Week 1: Introduction of thesis structure and requirements Week 2-3: How to write an academic report or thesis Week 5-6: Real report/thesis discussion and practice Week 7: Analytic hierarchy process introduction and practice Week 8: Analytic network process introduction and practice Week 9: Introduction fuzzy set theory Week 10: TOPSIS method Week 11: VIKOR method Week 12-14: DEMATEL method and its hybrid methods Week 15: Introduction to data mining using rough set theory Week 16: Introduction multivariate analysis and demonstration Week 17-18: Real case practice and discussion

Evaluation and grading policy Final Exam. 40% In class presentation 30% Class Participation and attendance – (in class practice) 30%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
Journal papers and handouts

The access to curricular consultation Creat a line group

The course corresponds to the SDGs 無（None）

Note
　

Instructor	Liou jiann-haw　Office Hours
Email	jhliou@ntut.edu.tw
Last Updated	2024-12-17 16:24:58
Course Objective	先修課程：負責教授同意。使學生瞭解科學研究的特性、研究的類型、測量的程序與工具、資料的收集、資料的分析、撰寫研究計畫的方法，在從事管理問題之研究與探討時，知道如何正確選用適當方法，並取得所需資訊。 This course will introduce the selection of a research topic, construction of a bibliography, literature survey and data collection, and preparation of a research proposal.
Course Schedule	Week 1: Introduction of thesis structure and requirements Week 2-3: How to write an academic report or thesis Week 5-6: Real report/thesis discussion and practice Week 7: Analytic hierarchy process introduction and practice Week 8: Analytic network process introduction and practice Week 9: Introduction fuzzy set theory Week 10: TOPSIS method Week 11: VIKOR method Week 12-14: DEMATEL method and its hybrid methods Week 15: Introduction to data mining using rough set theory Week 16: Introduction multivariate analysis and demonstration Week 17-18: Real case practice and discussion
Evaluation and grading policy	Final Exam. 40% In class presentation 30% Class Participation and attendance – (in class practice) 30%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No Journal papers and handouts
The access to curricular consultation	Creat a line group
The course corresponds to the SDGs	無（None）
Note