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
108-2
273558
人工智慧
1
3.0
3
★
陳文輝
自動化所
12
0
教學大綱與進度：
教師姓名
陳文輝
Email
whchen@ntut.edu.tw
最後更新時間
2019-12-11 20:51:32
課程大綱
This course is about the theory and practice of Artificial Intelligence and Machine Learning. We will study modern techniques to help computers learn how to make intelligent decisions using data. Note: Programming and basic English presentation skills are required.
課程進度
Week1: Introduction Week2: Overview of AI history & Industry Applications Week3: Uninformed Search Week4: Informed Search Week5: Probability and Information Theory Week6: Probability and Information Theory Week7: Machine Learning Basics Week8: Machine Learning Basics Week9: Midterm Week10: Decision Trees Week11: Bayesian Networks Week12: Neural Networks Week13: Neural Networks Week14: Deep Learning Week15: Deep Learning Week16: Applications Week17: Project Presentations Week18: Project Presentations
評量標準
30% Participation, presentation, and assignments. 20% In-class quizzes 25% Midterm 25% Term project
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
Artificial Intelligence: A Modern Approach, by Stuart Russell and Peter Norvig Lecture Notes