Instructor:
-
Prof. Qi DOU
Dept. of Computer Science & Engineering
Email: qidou@cuhk.edu.hk
Office: Room 1014, 10/F, SHB, CUHK
Consultation hours: Monday 3pm-5pm -
Mr. Yuehao WANG (Coordinator)
Dept. of Computer Science & Engineering
Email: yhwang21@cse.cuhk.edu.hk
Office: Room 1024, 10/F, SHB, CUHK
Consultation hours: Wednesday 10am-12am -
Mr. Wenao MA
Dept. of Computer Science & Engineering
Email: wama@cse.cuhk.edu.hk
Office: Room 1024, 10/F, SHB, CUHK
Consultation hours: Wednesday 10am-12am -
Mr. Muxi CHEN
Dept. of Computer Science & Engineering
Email: mxchen21@cse.cuhk.edu.hk
Office: Room 1013, 10/F, SHB, CUHK
Consultation hours: Wednesday 2pm-4pm -
Mr. Hongzheng YANG
Dept. of Computer Science & Engineering
Email: hzyang22@cse.cuhk.edu.hk
Office: Room 1023, 10/F, SHB, CUHK
Consultation hours: Wednesday 10am-12am -
Mr. Tao HUANG (ESTR 3108)
Dept. of Computer Science & Engineering
Email: thuang22@cse.cuhk.edu.hk
Office: Room 1026, 10/F, SHB, CUHK
Consultation hours: Thursday 10am-12am
TAs:
Useful links
News
- Welcome to CSCI3230 Fall 2022!
- First lecture will start on 6 Sep 14:30 - 16:15 Science Centre L1!
Course information
This course aims to widely introduce the basic knowledge, classic algorithms, neural networks, searching, cutting-edge technical concepts and models in artificial intelligence. Topics to be covered include introduction to artificial intelligence, basics of key concepts, linear regression, logistic regression, clustering, SVM, PCA, neural network basics and deep learning, advanced AI models for big data, and latest applications of AI in multiple domains. On the theoretical side, students are expected to learn the relevant knowledge and mathematics in artificial intelligence from lectures and tutorials. On the practical side, students are given written assignments and programming assignments to get hands-on experience to apply the learned knowledge to solve problems. The field of artificial intelligence is advancing rapidly. Through this course, students will not only learn solid fundamentals of AI, but also know the latest news about AI on the globe.
Class time
For 2022Fall, we use face-to-face teaching for both lectures and tutorials.Lectures:
Tuesday 14:30pm - 16:15pm Science Centre L1
Thursday (ESTR 3108) 09:30am - 10:15am William M W Mong Eng Bldg 401
Thursday 10:30am - 11:15am Mong Man Wai Bldg LT1
Tutorials:
(T01) Wednesday 13:30pm - 14:15pm Lady Shaw Bldg LT4
(T02) Wednesday 17:30pm - 18:15pm Lady Shaw Bldg LT4
(T03) Thursday 14:30pm - 15:15pm Science Centre L3
Piazza
For discussions and questions: go to here
Assessments:
CSCI3230:
Assignments:
60%
Final examination:
35%
Class participation:
5%
ESTR3108:
Assignments:
40%
Article reading:
20%
Final examination:
35%
Class participation:
5%
Tentative class schedule
| Week | Time | Topic | Instructor | TA | ||||
|---|---|---|---|---|---|---|---|---|
| 1 | Sep 6,8 | Introduction | Dr. Dou | - | ||||
| 2 | Sep 13,15 | Linear Regression | Dr. Dou | Wang Y | ||||
| 3 | Sep 20,22 | Logistic Regression | Dr. Dou | Huang T | ||||
| 4 | Sep 27,29 | Support Vector Machine | Dr. Dou | Ma W | ||||
| 5 | Oct 6 | Clustering Algorithms | Dr. Dou | Huang T | ||||
| 6 | Oct 11,13 | Dimensionality Reduction | Dr. Dou | Wang Y | ||||
| 7 | Oct 18,20 | Neural Network Basics | Dr. Dou | Yang H | ||||
| 8 | Oct 25,27 | Convolutional Neural Networks | Dr. Dou | Yang H | ||||
| 9 | Nov 1,3 | Uninformed Search | Dr. Dou | Chen M | ||||
| 10 | Nov 8,10 | Informed Search | Dr. Dou | Chen M | ||||
| 11 | Nov 15,17 | Markov Decision Processes | Dr. Dou | Chen M | ||||
| 12 | Nov 22,24 | AI Applications in Healthcare | Dr. Dou | Ma W | ||||
| 13 | Nov 29,Dec 1 | AI Applications in Robotics | Dr. Dou | Wang Y | ||||
Useful materials and links
- The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani, Jerome Friedman
- Deep learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville.
- Artificial Intelligence: A Modern Approach, 4th Global ed. by Stuart Russell, Peter Norvig
- Google AI Blog
- MIT Technology Review, Artificial Intelligence.