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 365448 Research Methods 1 3.0 3 ▲ 吳忠敏
LIN, YA-HUI
Daniel Chien 職經管所 0 0 　

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2026	365448	Research Methods	1	3.0	3	▲	吳忠敏 LIN, YA-HUI Daniel Chien	職經管所	0	0

Course Plan：

Instructor LIN, YA-HUI　Office Hours

Email yhvica@ntut.edu.tw

Last Updated 2026-06-07 20:52:07

Course Objective 本課程旨在幫助學生在論文寫作以及企業研究方法上建立足夠的知識與技能。課程內容主要分為兩部分，第一部分將介紹論文架構，緊接著介紹如何撰寫緒論、文獻探討、研究方法、結果分析、討論、結論及參考文獻，配合課程中的實際案例討論，指導學生應注意的論文格式與規範。本課程的第二部分則在介紹目前企業研究上常用的各種數量方法，各種數量方法的原理及其應用的領域將以實際案例解釋說明，透過上課解說演練、討論、作業、報告等方式使學生熟悉各種研究方法。主要教授的研究方法包括層級分析法、網路程序分析、TOPSIS、VIKOR、灰關聯法、決策實驗分析法、模糊理論、約略集合及基本多變量分析。所教授的各種的研究方法將以Excel進行分析與計算演練，本課程學習結束後，學生應當能具備足夠的能力撰寫論文並了解使用各種研究方法於企業問題解決。 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 into 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 with the introduction of different quantitative 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, discussions, assignments, 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

Course Schedule 第1週課程介紹/科學方法的基本概念第2週企業研究的類型第3週資料蒐集方法第4週問卷設計與衡量(1) 第5週問卷設計與衡量(2) 第6週 SPSS軟體介紹與資料整理

Evaluation and grading policy 出席狀況 50% 課堂討論 25% 課堂報告 25%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
吳萬益, 廖英凱: 企業研究方法。華泰文化。第6版授課教授提供相關的講義。

The access to curricular consultation 1.課程上課時間，同學有問題可以直接詢問
2.可以透過e-mail與老師約時間討論

Expanding teaching and resources ● 數位科技融入 (Digital Technology Integration)
運用生成式AI、VR/AR、IoT、IRS等新興科技輔助教學與評量。
Utilizes emerging technologies such as Generative AI, VR/AR, IoT, and IRS (Interactive Response Systems) to facilitate teaching and assessment.

The course corresponds to the SDGs SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth）

Does the course incorporate AI ● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process）
● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）

Note
根據學校規定

Instructor	LIN, YA-HUI　Office Hours
Email	yhvica@ntut.edu.tw
Last Updated	2026-06-07 20:52:07
Course Objective	本課程旨在幫助學生在論文寫作以及企業研究方法上建立足夠的知識與技能。課程內容主要分為兩部分，第一部分將介紹論文架構，緊接著介紹如何撰寫緒論、文獻探討、研究方法、結果分析、討論、結論及參考文獻，配合課程中的實際案例討論，指導學生應注意的論文格式與規範。本課程的第二部分則在介紹目前企業研究上常用的各種數量方法，各種數量方法的原理及其應用的領域將以實際案例解釋說明，透過上課解說演練、討論、作業、報告等方式使學生熟悉各種研究方法。主要教授的研究方法包括層級分析法、網路程序分析、TOPSIS、VIKOR、灰關聯法、決策實驗分析法、模糊理論、約略集合及基本多變量分析。所教授的各種的研究方法將以Excel進行分析與計算演練，本課程學習結束後，學生應當能具備足夠的能力撰寫論文並了解使用各種研究方法於企業問題解決。 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 into 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 with the introduction of different quantitative 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, discussions, assignments, 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
Course Schedule	第1週課程介紹/科學方法的基本概念第2週企業研究的類型第3週資料蒐集方法第4週問卷設計與衡量(1) 第5週問卷設計與衡量(2) 第6週 SPSS軟體介紹與資料整理
Evaluation and grading policy	出席狀況 50% 課堂討論 25% 課堂報告 25%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No 吳萬益, 廖英凱: 企業研究方法。華泰文化。第6版授課教授提供相關的講義。
The access to curricular consultation	1.課程上課時間，同學有問題可以直接詢問 2.可以透過e-mail與老師約時間討論
Expanding teaching and resources	● 數位科技融入 (Digital Technology Integration) 運用生成式AI、VR/AR、IoT、IRS等新興科技輔助教學與評量。 Utilizes emerging technologies such as Generative AI, VR/AR, IoT, and IRS (Interactive Response Systems) to facilitate teaching and assessment.
The course corresponds to the SDGs	SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth）
Does the course incorporate AI	● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process） ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
Note	根據學校規定