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 359930 Machine Learning 1 3.0 3 ★ Tseng Shu-ming 4EN3A
4EN3B 46 0 電子大三合開

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2026	359930	Machine Learning	1	3.0	3	★	Tseng Shu-ming	4EN3A 4EN3B	46	0	電子大三合開

Course Plan：

Instructor Tseng Shu-ming　Office Hours

Email shuming@ntut.edu.tw

Last Updated 2026-02-23 17:03:49

Course Objective 本課程程主要為介紹深度學習(DL)和生成式人工智慧(GAI)概念和基本原理。通過掌握這些原理，學生能了解可能極限，更能思考深度學習和和生成式人工智慧的應用。 This course mainly introduces the concepts and basic principles of deep learning (DL) and generative artificial intelligence (GAI). By mastering these principles, students can understand the limits of what is possible and be better able to think about the applications of deep learning and generative artificial intelligence.

Course Schedule deep learning&DNN Supervised Learning Self-supervised Learning CNN RNN (optional) Transformer autoencoder (optional) Deep Reinforcment Learning generative artificial intelligence (GAI) introduction GAI prompt engineering (提示工程) and context engineering (上下文工程) in times of AI agent GAI LLM training GAI & Transformer GAI generation policy image/video GAI (optional)

Evaluation and grading policy oral report 20% Midterm Exam 30% or DL mini-project GAI final project 50% Course participation (Attendance, Q&A) extra10%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
handouts

The access to curricular consultation office hours

Expanding teaching and resources ● 無 (None)

The course corresponds to the SDGs 無（None）

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）
● 深入探討AI的原理與應用（Explore the principles and applications of AI in depth）

Note
　

Instructor	Tseng Shu-ming　Office Hours
Email	shuming@ntut.edu.tw
Last Updated	2026-02-23 17:03:49
Course Objective	本課程程主要為介紹深度學習(DL)和生成式人工智慧(GAI)概念和基本原理。通過掌握這些原理，學生能了解可能極限，更能思考深度學習和和生成式人工智慧的應用。 This course mainly introduces the concepts and basic principles of deep learning (DL) and generative artificial intelligence (GAI). By mastering these principles, students can understand the limits of what is possible and be better able to think about the applications of deep learning and generative artificial intelligence.
Course Schedule	deep learning&DNN Supervised Learning Self-supervised Learning CNN RNN (optional) Transformer autoencoder (optional) Deep Reinforcment Learning generative artificial intelligence (GAI) introduction GAI prompt engineering (提示工程) and context engineering (上下文工程) in times of AI agent GAI LLM training GAI & Transformer GAI generation policy image/video GAI (optional)
Evaluation and grading policy	oral report 20% Midterm Exam 30% or DL mini-project GAI final project 50% Course participation (Attendance, Q&A) extra10%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No handouts
The access to curricular consultation	office hours
Expanding teaching and resources	● 無 (None)
The course corresponds to the SDGs	無（None）
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） ● 深入探討AI的原理與應用（Explore the principles and applications of AI in depth）
Note