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

  • TAs:

  • Mr. Yuan Zhong (Coordinator)

    Dept. of Computer Science & Engineering
    Email: yzhong22@cse.cuhk.edu.hk
    Office: Room 1024, 10/F, SHB, CUHK
    Consultation hours: Wednesday 10am-12nn

  • 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-12nn

  • Mr. Dongchen He

    Dept. of Computer Science & Engineering
    Email: dche23@cse.cuhk.edu.hk
    Office: Room 1013, 10/F, SHB, CUHK
    Consultation hours: Wednesday 10am-12nn

  • Ms. Yiyao Ma

    Dept. of Computer Science & Engineering
    Email: yyma23@cse.cuhk.edu.hk
    Office: Room 1024, 10/F, SHB, CUHK
    Consultation hours: Wednesday 10am-12nn

  • Ms. Yueyao Chen (ESTR 3108)

    Dept. of Computer Science & Engineering
    Email: yychen@cse.cuhk.edu.hk
    Office: Room 1023, 10/F, SHB, CUHK
    Consultation hours: Wednesday 10am-12nn

Useful links

News

  • Welcome to CSCI3230 Fall 2023!
  • First lecture will start on 5 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

Lectures:

Tuesday                                 14:30pm - 16:15pm     Science Centre L1
Thursday (ESTR 3108)          09:30am - 10:15am     T.C. Cheng Bldg C4
Thursday                                10:30am - 11:15am     T.C. Cheng Bldg C1

Tutorials:

(T01) Wednesday                  13:30pm - 14:15pm     Science Centre L5
(T02) Wednesday                  17:30pm - 18:15pm     Lady Shaw Bldg LT3
(T03) Thursday                      14:30pm - 15:15pm     Science Centre L5

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 5,7 Introduction Prof. Dou -
2 Sep 12,14 Linear Regression Prof. Dou Yueyao
3 Sep 19,21 Logistic Regression Prof. Dou Yueyao
4 Sep 26,28 Support Vector Machine Prof. Dou Yiyao
5 Oct 3,5 Clustering Algorithms Prof. Dou Yiyao
6 Oct 10,12 Dimensionality Reduction Prof. Dou Yuan
7 Oct 17,19 Neural Network Basics Prof. Dou Hongzheng
8 Oct 24,26 Convolutional Neural Networks Prof. Dou Hongzheng
9 Oct 31, Nov 2 Uninformed Search Prof. Dou Dongchen
10 Nov 7,9 Informed Search Prof. Dou Dongchen
11 Nov 14,16 AI Applications in Healthcare Prof. Dou Yuan
12 Nov 21,23 AI Applications in HCI Prof. Dou Yuan
13 Nov 28,30 AI Applications in Robotics Prof. Dou Yiyao


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) | Fall 2023 | The Chinese University of Hong Kong