2 項進行中

115-1 選課時程

進行中

  • 初選第一階段 6/15 – 6/18
  • 初選第二階段 6/22 – 6/25
  • 校際選修 進行中 8/24 – 9/18
  • 初選第三階段 8/31 – 9/3
  • 開學後加退選 進行中 9/7 – 9/21
  • 逾期加退選 9/21 – 9/24
選課資源

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人工智慧概論

Intro. to Artificial Intelligence

學期
111-2
學分
0 學分
當期課號
515517
永久課號
CSCS20007
開課單位
資訊學院共同課程
授課教師
陳奕廷
校區
光復
類別
選修
上課時間表
週二
5
13:20–14:10
人工智慧概論
EC122(光復)
2 節連堂
6
14:20–15:10

* 根據陽明交大上課時間表所列

概述

Welcome to the Introduction to Artificial Intelligence! In recent years, we have witnessed tremendous progress in artificial intelligence (AI). For example, chatGPT can answer sophisticated questions specified by users. Stable diffusion can generate novel images that expert designers may be unable to draw. It seems that existing algorithms can do lots of incredible things. Have we solved the ultimate pursuit of AI? Are these amazing artifacts AI? What are the new challenges in AI? Please sign up for this course if interested in diving into this field! The intended learning outcomes of this course are - List existing definitions of artificial intelligence - Identify problems in the field of artificial intelligence - Explain selected algorithms for the identified problems - Apply the learned algorithms to solve problems - Develop your solution for a problem - Identify new challenges in artificial intelligence

先修科目

Prerequisites: Programming, Linear Algebra, Algorithm, and Probability

備註

無備註

教學方式

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評分方式

Homework: 60% - 5 programming assignments (12% each) - HW1: Supervised learning for face detection - HW2: A* search for route planning - HW3: Adversarial search in Pacman - HW4: Reinforcement learning - HW5: Bayesian Network for car tracking Final Project: 40% - A 15-minute recorded presentation - Top-rated groups will be selected for the AI workshop

課程大綱

教師未提供此項資料

週次計畫
週次主題
第 1 週

Introduction to Artificial Intelligence

2023-02-14(二)
第 2 週

Machine Learning I

2023-02-21(二)
第 3 週

Machine Learning II

2023-02-28(二)
第 4 週

Machine Learning III

2023-03-07(二)
第 5 週

Problem Solving by Searching

2023-03-14(二)
第 6 週

Adversarial Search

2023-03-21(二)
第 7 週

Markov Decision Process

2023-03-28(二)
第 8 週

Reinforcement Learning

2023-04-04(二)
第 9 週

Constraint Satisfaction Problems

2023-04-11(二)
第 10 週

Bayesian Networks

2023-04-18(二)
第 11 週

Knowledge, Reasoning, and Planning

2023-04-25(二)
第 12 週

3D Computer Vision & Robot Navigation

2023-05-02(二)
第 13 週

Self-Driving Systems

2023-05-09(二)
第 14 週

Robot Manipulation

2023-05-16(二)
第 15 週

AI Applications: Guest Speaker

2023-05-23(二)
第 16 週

AI Applications: Guest Speaker

2023-05-30(二)
第 17 週

2023-06-06(二)
第 18 週

2023-06-13(二)
教科書

Slides, papers, and online resources Artificial Intelligence: A Modern Approach (4th Ed., 2003) by Russell & Norvig

Office Hours
地點
EC336
時間
By appointment
聯絡方式
教師未提供此項資料