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 352293 Introduction to Generative Artificial Intelligence 1 3.0 3 ★ Cheng, Li-Chen IMBA
GIFM 25 0 資財四甲、資財所、IMBA和創新資安合開

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2025	352293	Introduction to Generative Artificial Intelligence	1	3.0	3	★	Cheng, Li-Chen	IMBA GIFM	25	0	資財四甲、資財所、IMBA和創新資安合開

Course Plan：

Instructor Cheng, Li-Chen　Office Hours

Email jessicacheng@mail.ntut.edu.tw

Last Updated 2025-05-27 14:45:18

Course Objective 本課程旨在讓學生深入理解並掌握生成式人工智慧（Generative AI）的基本概念與實務應用。內容涵蓋GenAI介紹、提示工程（Prompt Engineering）、大規模語言模型（LLM）技術原理，以及設計思考專案，應用於金融或管理相關議題，並探討相關道德議題。課程強調實務應用，結合行銷理論和金融數據分析，邀請業界專家分享最新行業動態和實務經驗。 This course aims to provide students with a comprehensive understanding and mastery of the fundamental concepts and practical applications of Generative AI. The content covers an introduction to GenAI, Prompt Engineering, the technical principles of Large Language Models (LLM), and a design thinking project applied to finance or management-related issues, as well as discussions on relevant ethical topics. Emphasizing practical application, the course integrates marketing theories and financial data analysis, inviting industry experts to share the latest industry trends and practical insights.

Course Schedule 生成式AI概述深度學習簡介自然語言簡介 LLM理論 prompt engineering 生成式AI任務工作坊(1) RAG 生成式AI的道德議題

Evaluation and grading policy 期末報告(專案實作) 課堂作業論文報告出席

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
自編教材

The access to curricular consultation jessicacheng@mail.ntut.edu.tw

The course corresponds to the SDGs SDG3：良好健康和福祉（Good Health and Well-being）
SDG4：優質教育（Quality Education）
SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
SDG17：夥伴關係（Partnerships for the Goals）

Does the course incorporate AI AI1：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）
AI2：鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
AI3：使用生成式AI進行課堂即時互動（Use generative AI for real-time classroom interaction）

Note
　

Instructor	Cheng, Li-Chen　Office Hours
Email	jessicacheng@mail.ntut.edu.tw
Last Updated	2025-05-27 14:45:18
Course Objective	本課程旨在讓學生深入理解並掌握生成式人工智慧（Generative AI）的基本概念與實務應用。內容涵蓋GenAI介紹、提示工程（Prompt Engineering）、大規模語言模型（LLM）技術原理，以及設計思考專案，應用於金融或管理相關議題，並探討相關道德議題。課程強調實務應用，結合行銷理論和金融數據分析，邀請業界專家分享最新行業動態和實務經驗。 This course aims to provide students with a comprehensive understanding and mastery of the fundamental concepts and practical applications of Generative AI. The content covers an introduction to GenAI, Prompt Engineering, the technical principles of Large Language Models (LLM), and a design thinking project applied to finance or management-related issues, as well as discussions on relevant ethical topics. Emphasizing practical application, the course integrates marketing theories and financial data analysis, inviting industry experts to share the latest industry trends and practical insights.
Course Schedule	生成式AI概述深度學習簡介自然語言簡介 LLM理論 prompt engineering 生成式AI任務工作坊(1) RAG 生成式AI的道德議題
Evaluation and grading policy	期末報告(專案實作) 課堂作業論文報告出席
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No 自編教材
The access to curricular consultation	jessicacheng@mail.ntut.edu.tw
The course corresponds to the SDGs	SDG3：良好健康和福祉（Good Health and Well-being） SDG4：優質教育（Quality Education） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure） SDG17：夥伴關係（Partnerships for the Goals）
Does the course incorporate AI	AI1：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） AI2：鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools） AI3：使用生成式AI進行課堂即時互動（Use generative AI for real-time classroom interaction）
Note