Course Syllabus

Course Information：

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

Spring Semester
Year 2019 258684 Business Research Methods 1 3.0 3 ★ Liou jiann-haw IMBA 13 0 電腦教室科研735

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2019	258684	Business Research Methods	1	3.0	3	★	Liou jiann-haw	IMBA	13	0	電腦教室科研735

Course Plan：

Instructor Liou jiann-haw

Email jhliou@ntut.edu.tw

Last Updated 2019-03-05 15:39:22

Course Objective The objective of this course is to help students build up the knowledge/skills in thesis writing and business research methods. The content of the course can be divided by two major parts. The first part will begin from the introduction of thesis structure, followed by how to write the introduction, literature review, methodology, result analysis, discussion, remarking and reference. The format of thesis will also be illustrated by some class examples. The second part of the class will begin from the introduction of different quantity methods commonly used in business research methods today. The categories of research methods and their applicable problems are then presented using real-world case studies. Students can learn different decision making tools through lectures, discussion, assignment, term-projects and in class practices. The main methods include AHP, ANP, TOPSIS, VIKOR, DEMATEL, Gray Relation Methods, Fuzzy Set Theory, Rough Set Theory and some basic multivariate analysis. The methods will mainly use Excel worksheet to demonstrate the procedures and analysis results. At the end of the course, students should have the skills in writing a thesis and some basic tools when they face business problems.

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 30% Term paper and homework 40% Class Participation – (in class practice) 30%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
Journal papers

The access to curricular consultation

Note
　

Instructor	Liou jiann-haw
Email	jhliou@ntut.edu.tw
Last Updated	2019-03-05 15:39:22
Course Objective	The objective of this course is to help students build up the knowledge/skills in thesis writing and business research methods. The content of the course can be divided by two major parts. The first part will begin from the introduction of thesis structure, followed by how to write the introduction, literature review, methodology, result analysis, discussion, remarking and reference. The format of thesis will also be illustrated by some class examples. The second part of the class will begin from the introduction of different quantity methods commonly used in business research methods today. The categories of research methods and their applicable problems are then presented using real-world case studies. Students can learn different decision making tools through lectures, discussion, assignment, term-projects and in class practices. The main methods include AHP, ANP, TOPSIS, VIKOR, DEMATEL, Gray Relation Methods, Fuzzy Set Theory, Rough Set Theory and some basic multivariate analysis. The methods will mainly use Excel worksheet to demonstrate the procedures and analysis results. At the end of the course, students should have the skills in writing a thesis and some basic tools when they face business problems.
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 30% Term paper and homework 40% Class Participation – (in class practice) 30%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No Journal papers
The access to curricular consultation
Note