查詢教學大綱與進度

教學大綱與進度

課程基本資料：

學年期課號課程名稱階段學分時數修教師班級人撤備註

114-1 347111 人工智慧 1 3.0 3 ★ 賴冠廷電子四甲
電子四乙 34 0 電子大四合開

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
114-1	347111	人工智慧	1	3.0	3	★	賴冠廷	電子四甲電子四乙	34	0	電子大四合開

教學大綱與進度：

教師姓名賴冠廷　教師諮商時間(Office Hours)

Email ktlai@ntut.edu.tw

最後更新時間 2025-05-28 09:49:25

課程大綱 This course mainly introduces the latest AI technologies and applications, as well as how to use mainstream deep learning frameworks: TensorFlow & PyTorch. Students taking this course must possess good programming skills. Meanwhile, we will also introduce some fundamental AI algorithms.

課程進度 1. Brief history of AI 2. Machine Learning: How to make machine learn? 3. Linear Algebra and Probability 4. Gradient and Optimization 5. Supervised Learning: Classification 6. Supervised Learning: Regression 7. Unsupervised Learning: Clustering 8. Unsupervised Learning: Dimension Reduction 9. Midterm exam 10. Deep Learning and Neural Networks 11. Natural Language Processing (NLP), RNN, LSTM 12. Transformer, ChatGPT, LLMs 13. Convolutional Neural Networks (CNNs) 14. Object Detection and Image Segmentation 15. GAN & Diffusion 16. Deep Reinforcement Learning 17. Final project demo 18. Final exam

評量方式與標準 Kaggle homeworks (40%) Midter and final exam (30%) Final project (20%) Quizzes and attendance (10%)

使用教材、參考書目或其他 【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】

使用外文原文書：是
Francois Chollet, “Deep Learning with Python, 2nd edition” Manning, 2021 Latest pulibcations on NeurPS, AAAI, CVPR, ArXiv, Blogs, open source projects, etc.

課程諮詢管道 ktlai@ntut.edu.tw
http://www.aiotlab.org/teaching/ai_ee.html

課程對應SDGs指標 SDG1：消除貧窮（No Poverty）
SDG3：良好健康和福祉（Good Health and Well-being）
SDG4：優質教育（Quality Education）
SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth）
SDG10：減少不平等（Reduced Inequalities）

課程是否導入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）
● 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）

備註

教師姓名	賴冠廷　教師諮商時間(Office Hours)
Email	ktlai@ntut.edu.tw
最後更新時間	2025-05-28 09:49:25
課程大綱	This course mainly introduces the latest AI technologies and applications, as well as how to use mainstream deep learning frameworks: TensorFlow & PyTorch. Students taking this course must possess good programming skills. Meanwhile, we will also introduce some fundamental AI algorithms.
課程進度	1. Brief history of AI 2. Machine Learning: How to make machine learn? 3. Linear Algebra and Probability 4. Gradient and Optimization 5. Supervised Learning: Classification 6. Supervised Learning: Regression 7. Unsupervised Learning: Clustering 8. Unsupervised Learning: Dimension Reduction 9. Midterm exam 10. Deep Learning and Neural Networks 11. Natural Language Processing (NLP), RNN, LSTM 12. Transformer, ChatGPT, LLMs 13. Convolutional Neural Networks (CNNs) 14. Object Detection and Image Segmentation 15. GAN & Diffusion 16. Deep Reinforcement Learning 17. Final project demo 18. Final exam
評量方式與標準	Kaggle homeworks (40%) Midter and final exam (30%) Final project (20%) Quizzes and attendance (10%)
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】使用外文原文書：是 Francois Chollet, “Deep Learning with Python, 2nd edition” Manning, 2021 Latest pulibcations on NeurPS, AAAI, CVPR, ArXiv, Blogs, open source projects, etc.
課程諮詢管道	ktlai@ntut.edu.tw http://www.aiotlab.org/teaching/ai_ee.html
課程對應SDGs指標	SDG1：消除貧窮（No Poverty） SDG3：良好健康和福祉（Good Health and Well-being） SDG4：優質教育（Quality Education） SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth） SDG10：減少不平等（Reduced Inequalities）
課程是否導入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） ● 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）
備註