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 352439 Artificial Intelligence Application Projects 1 3.0 3 ★ CHIEN-WEN WU
TSUI PENG
Chung, Chien-Ping 資財EMBA桃園 13 0 (群組3) 工業與科技管理(關聯群7)

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2025	352439	Artificial Intelligence Application Projects	1	3.0	3	★	CHIEN-WEN WU TSUI PENG Chung, Chien-Ping	資財EMBA桃園	13	0	(群組3) 工業與科技管理(關聯群7)

Course Plan：

Instructor TSUI PENG　Office Hours

Email johnpeng@mail.ntut.edu.tw

Last Updated 2025-05-30 09:00:14

Course Objective 本課程教授人工智慧技術的基礎理論與實務技巧，並對於人工智慧在製造業、服務業、金融業的應用，提供啟發性的基本認知與創意，以激發學生在人工智慧領域的創新應用。課程內容包括: 人工智慧基礎、機器學習、大數據技術、深度學習、生成對抗網路、創業家思維、設計思考、商業模式、人工智慧與現代科技、工業 4.0、人工智慧的製造業應用個案、人工智慧的服務業應用個案、人工智慧的金融應用個案。 This course aims to teach students the basic concepts and practical techniques of artificial intelligence and to introduce its applications on manufacturing, service, and finance industries. The course focuses on inspring students for innovative artificial intelligence applications. The course includes: artificial intelligence basics, machine learn-ing, big data, deep learning, generative adversarial network, entrepreneurial thoughts, design thinking, business models, artificial intelligence and modern technologies, industry 4.0, real case applications on manufacturing, service, finance industries.

Course Schedule
(Week 1-16) 1. 人工智慧的快速入門 2. 人工智慧的No-Code 平台使用 3. 人工智慧的分類學 4. 人工智慧在工作領域的應用 5. 人工智慧的治理

Evaluation and grading policy 課堂參與 30% 個人作業 40% 分組報告 30%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
自編教材

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

Expanding teaching and resources

The course corresponds to the SDGs SDG1：消除貧窮（No Poverty）
SDG2：消除飢餓（Zero Hunger）

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
　

Instructor	TSUI PENG　Office Hours
Email	johnpeng@mail.ntut.edu.tw
Last Updated	2025-05-30 09:00:14
Course Objective	本課程教授人工智慧技術的基礎理論與實務技巧，並對於人工智慧在製造業、服務業、金融業的應用，提供啟發性的基本認知與創意，以激發學生在人工智慧領域的創新應用。課程內容包括: 人工智慧基礎、機器學習、大數據技術、深度學習、生成對抗網路、創業家思維、設計思考、商業模式、人工智慧與現代科技、工業 4.0、人工智慧的製造業應用個案、人工智慧的服務業應用個案、人工智慧的金融應用個案。 This course aims to teach students the basic concepts and practical techniques of artificial intelligence and to introduce its applications on manufacturing, service, and finance industries. The course focuses on inspring students for innovative artificial intelligence applications. The course includes: artificial intelligence basics, machine learn-ing, big data, deep learning, generative adversarial network, entrepreneurial thoughts, design thinking, business models, artificial intelligence and modern technologies, industry 4.0, real case applications on manufacturing, service, finance industries.
Course Schedule (Week 1-16)	1. 人工智慧的快速入門 2. 人工智慧的No-Code 平台使用 3. 人工智慧的分類學 4. 人工智慧在工作領域的應用 5. 人工智慧的治理
Evaluation and grading policy	課堂參與 30% 個人作業 40% 分組報告 30%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No 自編教材
The access to curricular consultation	johnpeng@mail.ntut.edu.tw
Expanding teaching and resources
The course corresponds to the SDGs	SDG1：消除貧窮（No Poverty） SDG2：消除飢餓（Zero Hunger）
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