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 352174 Application of Generative Artificial Intelligence in Enterprise Practice 1 3.0 3 ★ ZHEN-HUA CHE
Hong,Tzu-Yen
Hsin-Wei Hsu
Sung-Shun Weng
Ping-Chen Chang
Liou jiann-haw 華南EMBA 29 0 碩二

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2025	352174	Application of Generative Artificial Intelligence in Enterprise Practice	1	3.0	3	★	ZHEN-HUA CHE Hong,Tzu-Yen Hsin-Wei Hsu Sung-Shun Weng Ping-Chen Chang Liou jiann-haw	華南EMBA	29	0	碩二

Course Plan：

Instructor Hong,Tzu-Yen　Office Hours

Email georgehong618@gmail.com

Last Updated 2025-06-02 11:55:19

Course Objective 隨著科技不斷進步，人工智慧技術逐漸成熟，無論在生產流程、企業管理及分析決策等方面都陸續開始導入生成式AI工具，應用場景橫跨企業營運、數據應用以及產品與服務創新等。本課程將介紹生成式人工智慧原理並結合實作方式，透過實際案例和演練來教授生成式AI技術和應用。課程內容包括人工智慧的基礎知識，如深度學習、自然語言處理、圖像處理、推薦系統、預測分析等，並導入人工智慧在企業管理和決策、金融、數據分析、智慧製造等領域等應用案例。課程中將結合Azure OpenAI雲端服務資源，並以人工智慧跨域應用學習模式來跨域應用至數據分析、智慧運算、智慧製造及物流、商情預測、經營管理、金融等領域，以培育學生具備領先同儕之人工智慧跨域應用專業能力。 This course introduces the principles of generative artificial intelligence and combines practical exercises regarding the technology and applications of generative AI through real case studies and drills. The course covers fundamental knowledge of AI, such as deep learning, natural language processing, image processing, recommendation systems, predictive analytics, and introduces the application cases of AI in enterprise management and decision-making, finance, data analysis, intelligent manufacturing, among others. The course will also utilize Azure OpenAI cloud service resources and cross-domain application learning mode to cultivate students’ technical abilities in AI cross-domain applications, spanning across data analytics, intelligent computing, intelligent manufacturing and logistics, business forecasting, management, finance, etc., leading them to stand out among their peers.

Course Schedule
(Week 1-16) 16 製造數據科學理論與實務（洪子晏助理教授） 17 生成式AI於製造業之導入應用I-遠距教學（洪子晏助理教授） 18 生成式AI於製造業之導入應用II-遠距教學（洪子晏助理教授）

Evaluation and grading policy 出席及課堂練習（50%）、小組報告（50%）

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
使用自編教材

The access to curricular consultation 課後諮詢或寄信至tyhong@ntut.edu.tw

Expanding teaching and resources

The course corresponds to the SDGs SDG12：負責任的消費與生產（Responsible Consumption and Production）

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	Hong,Tzu-Yen　Office Hours
Email	georgehong618@gmail.com
Last Updated	2025-06-02 11:55:19
Course Objective	隨著科技不斷進步，人工智慧技術逐漸成熟，無論在生產流程、企業管理及分析決策等方面都陸續開始導入生成式AI工具，應用場景橫跨企業營運、數據應用以及產品與服務創新等。本課程將介紹生成式人工智慧原理並結合實作方式，透過實際案例和演練來教授生成式AI技術和應用。課程內容包括人工智慧的基礎知識，如深度學習、自然語言處理、圖像處理、推薦系統、預測分析等，並導入人工智慧在企業管理和決策、金融、數據分析、智慧製造等領域等應用案例。課程中將結合Azure OpenAI雲端服務資源，並以人工智慧跨域應用學習模式來跨域應用至數據分析、智慧運算、智慧製造及物流、商情預測、經營管理、金融等領域，以培育學生具備領先同儕之人工智慧跨域應用專業能力。 This course introduces the principles of generative artificial intelligence and combines practical exercises regarding the technology and applications of generative AI through real case studies and drills. The course covers fundamental knowledge of AI, such as deep learning, natural language processing, image processing, recommendation systems, predictive analytics, and introduces the application cases of AI in enterprise management and decision-making, finance, data analysis, intelligent manufacturing, among others. The course will also utilize Azure OpenAI cloud service resources and cross-domain application learning mode to cultivate students’ technical abilities in AI cross-domain applications, spanning across data analytics, intelligent computing, intelligent manufacturing and logistics, business forecasting, management, finance, etc., leading them to stand out among their peers.
Course Schedule (Week 1-16)	16 製造數據科學理論與實務（洪子晏助理教授） 17 生成式AI於製造業之導入應用I-遠距教學（洪子晏助理教授） 18 生成式AI於製造業之導入應用II-遠距教學（洪子晏助理教授）
Evaluation and grading policy	出席及課堂練習（50%）、小組報告（50%）
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No 使用自編教材
The access to curricular consultation	課後諮詢或寄信至tyhong@ntut.edu.tw
Expanding teaching and resources
The course corresponds to the SDGs	SDG12：負責任的消費與生產（Responsible Consumption and Production）
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