查詢教學大綱與進度

教學大綱與進度

課程基本資料：

學年期課號課程名稱階段學分時數修教師班級人撤備註

110-2 299011 企業研究方法 1 3.0 3 ▲ 劉建浩國際金融科技專班 7 0 IMBA&IMFI,Computer Room

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
110-2	299011	企業研究方法	1	3.0	3	▲	劉建浩	國際金融科技專班	7	0	IMBA&IMFI,Computer Room

教學大綱與進度：

教師姓名劉建浩

Email jhliou@ntut.edu.tw

最後更新時間 2022-02-14 16:32:24

課程大綱本課程旨在幫助學生建立足夠的知識與技能在企業研究方法上。課程內容主要分為兩部分，第一部分將首先介紹論文架構開始，緊接著介紹如何撰寫緒論、文獻探討、研究方法、資料收集、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，本課程學習結束後後，學生應當能具備足夠的能力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 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, data collection, 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. St

課程進度 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

評量方式與標準 Final Exam. 40% In class presentation 30% Class Participation and attendance – (in class practice) 30%

使用教材、參考書目或其他 【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】

使用外文原文書：否
Class handout & Journal papers on line class link: https://teams.microsoft.com/l/meetup-join/19%3a1c8e90d55bd943d28b1eb925d0634018%40thread.tacv2/1644458204996?context=%7b%22Tid%22%3a%22dfb5e216-2b8a-4b32-b1cb-e786a1095218%22%2c%22Oid%22%3a%228dcb863a-6603-4794-b901-607c57021c86%22%7d

課程諮詢管道

課程對應SDGs指標

備註
Email: jamesjhliou@gmail.com
Line ID: jamesjhliou

教師姓名	劉建浩
Email	jhliou@ntut.edu.tw
最後更新時間	2022-02-14 16:32:24
課程大綱	本課程旨在幫助學生建立足夠的知識與技能在企業研究方法上。課程內容主要分為兩部分，第一部分將首先介紹論文架構開始，緊接著介紹如何撰寫緒論、文獻探討、研究方法、資料收集、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，本課程學習結束後後，學生應當能具備足夠的能力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 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, data collection, 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. St
課程進度	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
評量方式與標準	Final Exam. 40% In class presentation 30% Class Participation and attendance – (in class practice) 30%
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】使用外文原文書：否 Class handout & Journal papers on line class link: https://teams.microsoft.com/l/meetup-join/19%3a1c8e90d55bd943d28b1eb925d0634018%40thread.tacv2/1644458204996?context=%7b%22Tid%22%3a%22dfb5e216-2b8a-4b32-b1cb-e786a1095218%22%2c%22Oid%22%3a%228dcb863a-6603-4794-b901-607c57021c86%22%7d
課程諮詢管道
課程對應SDGs指標
備註	Email: jamesjhliou@gmail.com Line ID: jamesjhliou