Course Syllabus

Course Information：

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

Spring Semester
Year 2026 356638 Case Study for Industries 1 3.0 3 ★ LIN, YA-HUI GBM 19 0 　

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2026	356638	Case Study for Industries	1	3.0	3	★	LIN, YA-HUI	GBM	19	0

Course Plan：

Instructor LIN, YA-HUI　Office Hours

Email yhvica@ntut.edu.tw

Last Updated 2025-12-19 09:03:17

Course Objective 本課程能讓學生了解各種產業相關個案研究。個案涵蓋國內外企業案例。資料來源包含哈佛大學個案、光華基金會個案、及其他相關發表之個案資料。本課程希望學生能透過此案例討論以瞭解產品實務之營運。 This course will cover the case study related to the management of all industries. The cases will be from international and local enterprise. The teaching material will be from Harvard University case, KMCC case, and other public case. The purpose this course is to provide students a practical indusyries’ scenario.

Course Schedule 1.Introduction of the Course/Analysis in Business Management and Industry 2.The Analysis Process/ BCG Growth/Share Portfolio Matrix 3.GE business screen matrix 4.Case discussion (I) 5.Five Forces Industry Analysis/strategic group analysis 6.SWOT analysis/ Competitor analysis 7.Case discussion (II) 8.The Ansoff Growth matrix (I) 9.Midterm 10.The Ansoff Growth matrix (II) 11.Business Model Canvas 12.Case discussion (III) 13 Speech 14.Product life cycle analysis 15.S-curve (Technology Life Cycle) analysis 16.Case discussion (IV) 17.Final Presentation 18.Final Presentation

Evaluation and grading policy 1.Participation 20% 2.Case Discussion 30% 3.Final Presentation 30% 4.Homework or Assignment 20%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
Harvard Business School Cases or 光華個案

The access to curricular consultation If students have any questions, students can make an appointment to discuss by e-mail (yhvica@ntut.edu.tw) or students can use Line to discuss and make inquiries.

The course corresponds to the SDGs SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）

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
1. According to school regulations

Instructor	LIN, YA-HUI　Office Hours
Email	yhvica@ntut.edu.tw
Last Updated	2025-12-19 09:03:17
Course Objective	本課程能讓學生了解各種產業相關個案研究。個案涵蓋國內外企業案例。資料來源包含哈佛大學個案、光華基金會個案、及其他相關發表之個案資料。本課程希望學生能透過此案例討論以瞭解產品實務之營運。 This course will cover the case study related to the management of all industries. The cases will be from international and local enterprise. The teaching material will be from Harvard University case, KMCC case, and other public case. The purpose this course is to provide students a practical indusyries’ scenario.
Course Schedule	1.Introduction of the Course/Analysis in Business Management and Industry 2.The Analysis Process/ BCG Growth/Share Portfolio Matrix 3.GE business screen matrix 4.Case discussion (I) 5.Five Forces Industry Analysis/strategic group analysis 6.SWOT analysis/ Competitor analysis 7.Case discussion (II) 8.The Ansoff Growth matrix (I) 9.Midterm 10.The Ansoff Growth matrix (II) 11.Business Model Canvas 12.Case discussion (III) 13 Speech 14.Product life cycle analysis 15.S-curve (Technology Life Cycle) analysis 16.Case discussion (IV) 17.Final Presentation 18.Final Presentation
Evaluation and grading policy	1.Participation 20% 2.Case Discussion 30% 3.Final Presentation 30% 4.Homework or Assignment 20%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No Harvard Business School Cases or 光華個案
The access to curricular consultation	If students have any questions, students can make an appointment to discuss by e-mail (yhvica@ntut.edu.tw) or students can use Line to discuss and make inquiries.
The course corresponds to the SDGs	SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
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	1. According to school regulations