Instructor:

  • Prof. Qi DOU

    Dept. of Computer Science & Engineering
    Email: qidou@cuhk.edu.hk
    Office: Room 911, 9/F, SHB, CUHK
    Consultation hours: Monday 3pm-5pm

  • TAs:

  • Mr. Kejian Shi (Coordinator)

    Dept. of Computer Science & Engineering
    Email: kjshi@cse.cuhk.edu.hk
    Office: Room 121, 10/F, SHB, CUHK
    Consultation hours: Wednesday 2pm-4pm

  • Ms. Yiyao Ma

    Dept. of Computer Science & Engineering
    Email: yyma23@cse.cuhk.edu.hk
    Office: Room 121, 1/F, SHB, CUHK
    Consultation hours: Wednesday 2pm-4pm

  • Mr. Jiawei Fu

    Dept. of Computer Science & Engineering
    Email: jwfu@cse.cuhk.edu.hk
    Office: Room 115, 1/F, SHB, CUHK
    Consultation hours: Monday 2pm-4pm

  • Mr. Qianhan Feng

    Dept. of Computer Science & Engineering
    Email: qhfeng25@cse.cuhk.edu.hk
    Office: Pentecostal Mission Hall Complex Hall Block, IMIXR, CUHK
    Consultation hours: Wednesday 2pm-4pm

  • Mr. Zelong Tan (ESTR 3108)

    Dept. of Computer Science & Engineering
    Email: zltan25@cse.cuhk.edu.hk
    Office: Room 121, 1/F, SHB, CUHK
    Consultation hours: Monday 2pm-4pm

Useful links

News

  • Welcome to CSCI3230 2025-2026 (Term 1)!
  • First lecture will start on 2 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, 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

Lectures:

Tuesday                                 14:30pm - 16:15pm     Science Centre L1
Thursday (ESTR 3108)          11:30am - 12:15pm     YIA LT3
Thursday                                12:30pm - 1:15pm       YIA LT3

Tutorials:

(T01) Wednesday                  13:30pm - 14:15pm     Science Centre L5
(T02) Wednesday                  17:30pm - 18:15pm     Science Centre L5
(T03) Thursday                      9:30am - 10:15am       ERB 803
(T04) Thursday                      10:30am - 11:15am     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 2,4 Introduction Prof. Dou -
2 Sep 9,11 Linear Regression Prof. Dou Zelong Tan
3 Sep 16,18 Logistic Regression Prof. Dou Zelong Tan
4 Sep 23,25 Support Vector Machine Prof. Dou Yiyao Ma
5 Sep 30, Oct 2 Clustering Algorithms Prof. Dou Yiyao Ma
6 Oct 9 Neural Network Basics Prof. Dou Yiyao Ma
7 Oct 14,16 Convolutional Neural Networks Prof. Dou Qianhan Feng
8 Oct 21,23 Transformers Prof. Dou Qianhan Feng
9 Oct 28,30 Uninformed Search Prof. Dou Jiawei Fu
10 Nov 4,6 Informed Search Prof. Dou Jiawei Fu
11 Nov 11, 13 AI Applications in Healthcare Prof. Dou Kejian Shi
12 Nov 18,20 AI Applications in HCI Prof. Dou Kejian Shi
13 Nov 25,27 AI Applications in Robotics Prof. Dou Kejian Shi


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.


© CSCI3230 (ESTR3180) | 2025-2026 (Term 1) | The Chinese University of Hong Kong