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 349833 Research Methods 1 3.0 3 ▲ Li, Gordon Chun Yue GBM 61 0 哈佛

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2025	349833	Research Methods	1	3.0	3	▲	Li, Gordon Chun Yue	GBM	61	0	哈佛

Course Plan：

Instructor Li, Gordon Chun Yue　Office Hours

Email G.C.Li@ntut.edu.tw

Last Updated 2025-09-10 19:50:18

Course Objective This course introduces the methods essential to business research. The first focus is on research methods, particularly applied quantitative statistical analysis—interpreting results, as well as applying them to actual data. Students should become informed consumers of statistics—to be able to understand and assess the quality of statistical methods in the papers they read, and to use those methods in their research. The second focus is on research design and data collection methods, which will be essential to master’s dissertation, and practical business roles (such as consultant or market researcher). Students will participate in a project in which they have the chance to collect and analyze their data. The course is on fundamentals, up to multiple regression, so we will not have time to discuss more advanced statistical techniques. However, you should leave this class with a solid foundation for further education on these topics.

Course Schedule 1 Understanding Research 2 Dealing with practical issues 3 Research paradigm & designs 4 Literature review 5 Research proposal 6 Qualitative analysis 7 Statistics Review 1(Numerical summaries, Contingency, Confidence intervals, significance testing) 8 Statistics Review 2(Comparing 2 groups, association between categorical variables) 9 Exam Week 10 Regression Analysis (Correlation, multiple regression, mediation, moderation, logistic regression) 11 Experimental Research 12 Collecting data for statistical analysis 13 Questionnaire design 14 Writing your dissertation or thesis 15 Data collection in class 16 Publishing your research 17 Group Presentations 18 Exam Week

Evaluation and grading policy 30% Participation, homework, quizzes 20% Midterm 20% Assignment 1: Research question 10% Questionnaire design 10% Report 10% Report (Q&A & revision) 100% Total

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
TEXTBOOK “Business Research: A Practical Guide for Students” 5th Edition Authors: Jill Collins, Roger Hussey https://holding.lib.ntut.edu.tw/bookDetail/588059 REFERENCE Research methods : the basics / Nicholas Walliman. https://holding.lib.ntut.edu.tw/bookDetail/588061

The access to curricular consultation LINE or email the instructor

Expanding teaching and resources

The course corresponds to the SDGs SDG4：優質教育（Quality Education）
SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth）

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
　

Instructor	Li, Gordon Chun Yue　Office Hours
Email	G.C.Li@ntut.edu.tw
Last Updated	2025-09-10 19:50:18
Course Objective	This course introduces the methods essential to business research. The first focus is on research methods, particularly applied quantitative statistical analysis—interpreting results, as well as applying them to actual data. Students should become informed consumers of statistics—to be able to understand and assess the quality of statistical methods in the papers they read, and to use those methods in their research. The second focus is on research design and data collection methods, which will be essential to master’s dissertation, and practical business roles (such as consultant or market researcher). Students will participate in a project in which they have the chance to collect and analyze their data. The course is on fundamentals, up to multiple regression, so we will not have time to discuss more advanced statistical techniques. However, you should leave this class with a solid foundation for further education on these topics.
Course Schedule	1 Understanding Research 2 Dealing with practical issues 3 Research paradigm & designs 4 Literature review 5 Research proposal 6 Qualitative analysis 7 Statistics Review 1(Numerical summaries, Contingency, Confidence intervals, significance testing) 8 Statistics Review 2(Comparing 2 groups, association between categorical variables) 9 Exam Week 10 Regression Analysis (Correlation, multiple regression, mediation, moderation, logistic regression) 11 Experimental Research 12 Collecting data for statistical analysis 13 Questionnaire design 14 Writing your dissertation or thesis 15 Data collection in class 16 Publishing your research 17 Group Presentations 18 Exam Week
Evaluation and grading policy	30% Participation, homework, quizzes 20% Midterm 20% Assignment 1: Research question 10% Questionnaire design 10% Report 10% Report (Q&A & revision) 100% Total
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes TEXTBOOK “Business Research: A Practical Guide for Students” 5th Edition Authors: Jill Collins, Roger Hussey https://holding.lib.ntut.edu.tw/bookDetail/588059 REFERENCE Research methods : the basics / Nicholas Walliman. https://holding.lib.ntut.edu.tw/bookDetail/588061
The access to curricular consultation	LINE or email the instructor
Expanding teaching and resources
The course corresponds to the SDGs	SDG4：優質教育（Quality Education） SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth）
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