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 351749 Strategic Management 1 3.0 3 ★ LU, LIN-HUA
Wei-Lun Chang
Tsai Jung-Fa EMBA - BM
資財EMBA
EMBA - IEM 40 0 (群組1) 經營與策略管理

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2025	351749	Strategic Management	1	3.0	3	★	LU, LIN-HUA Wei-Lun Chang Tsai Jung-Fa	EMBA - BM 資財EMBA EMBA - IEM	40	0	(群組1) 經營與策略管理

Course Plan：

Instructor Wei-Lun Chang

Email wlchang@gm.ntpu.edu.tw

Last Updated 2025-06-03 00:11:24

Course Objective 策略管理主要是幫助製造業與服務業高階管理者作決策。一般而言，這門課程主要協助學員們具有策略思維與整合能力。學員可在策略管理學習過程活學活用，更能融合所學應用於管理決策中。此門課也採用適當的製造業與服務業個案研討來幫助學員學習、研讀與熟悉策略管理的運作，以達成此門課的目標。授課主題包括研討策略管理的本質與整體架構，瞭解組織所處環境，分析外部環境之時機和危機，剖析內部組織之優劣勢，探討企業不同層次之應對策略，整合策略的執行與治理等。 Strategic management deals with the decision making in manufacturing and service industry at the top management level. Generally, this course provides students with strategic thinking and knowledge integration. With case studies in manufacturing and service industry, this course also helps students learn, study, and understand the process of strategic management well to achieve the goals of the course. Topics in this course include the essence and whole framework of strategic management, in what circumstances an organization has been, analyses on the opportunities and threats of external environment, the strengths and weaknesses of internal organization, application strategies of companies at different levels, implantation on integration strategies and so forth.

Course Schedule
(Week 1-16) Week 1 課程介紹 & 企業數位轉型策略 (Digital transformation Strategy) Week 2 雙軸轉型策略 (Twin Transition Strategy) Week 3 人工智慧與企業應用 (Understanding the use of AI in business) Week 4 人工智慧與機器學習 (AI & Machine Learning) Week 5 人工智慧與碳足跡 (AI and Carbon Footprint) Week 6 分組報告

Evaluation and grading policy 1. 分組報告 80% *各組挑選一企業分析雙軸轉型 a) 企業背景簡介 b) 所遭遇到的問題 c) 解決方案 d) 結果與效益 e) 結論 2. 出席 20%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
使用自編投影片與企業個案

The access to curricular consultation 有任何問題可直接email: wlchang@gm.ntpu.edu.tw

Expanding teaching and resources

The course corresponds to the SDGs SDG4：優質教育（Quality Education）

Does the course incorporate AI ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）

Note
SDGs 4

Instructor	Wei-Lun Chang
Email	wlchang@gm.ntpu.edu.tw
Last Updated	2025-06-03 00:11:24
Course Objective	策略管理主要是幫助製造業與服務業高階管理者作決策。一般而言，這門課程主要協助學員們具有策略思維與整合能力。學員可在策略管理學習過程活學活用，更能融合所學應用於管理決策中。此門課也採用適當的製造業與服務業個案研討來幫助學員學習、研讀與熟悉策略管理的運作，以達成此門課的目標。授課主題包括研討策略管理的本質與整體架構，瞭解組織所處環境，分析外部環境之時機和危機，剖析內部組織之優劣勢，探討企業不同層次之應對策略，整合策略的執行與治理等。 Strategic management deals with the decision making in manufacturing and service industry at the top management level. Generally, this course provides students with strategic thinking and knowledge integration. With case studies in manufacturing and service industry, this course also helps students learn, study, and understand the process of strategic management well to achieve the goals of the course. Topics in this course include the essence and whole framework of strategic management, in what circumstances an organization has been, analyses on the opportunities and threats of external environment, the strengths and weaknesses of internal organization, application strategies of companies at different levels, implantation on integration strategies and so forth.
Course Schedule (Week 1-16)	Week 1 課程介紹 & 企業數位轉型策略 (Digital transformation Strategy) Week 2 雙軸轉型策略 (Twin Transition Strategy) Week 3 人工智慧與企業應用 (Understanding the use of AI in business) Week 4 人工智慧與機器學習 (AI & Machine Learning) Week 5 人工智慧與碳足跡 (AI and Carbon Footprint) Week 6 分組報告
Evaluation and grading policy	1. 分組報告 80% *各組挑選一企業分析雙軸轉型 a) 企業背景簡介 b) 所遭遇到的問題 c) 解決方案 d) 結果與效益 e) 結論 2. 出席 20%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No 使用自編投影片與企業個案
The access to curricular consultation	有任何問題可直接email: wlchang@gm.ntpu.edu.tw
Expanding teaching and resources
The course corresponds to the SDGs	SDG4：優質教育（Quality Education）
Does the course incorporate AI	● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
Note	SDGs 4