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. 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. Chuanyang ZHENG

    Dept. of Computer Science & Engineering
    Email: cyzheng21@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. Zhao WANG (ESTR3108)

    Dept. of Computer Science & Engineering
    Email: zwang21@cse.cuhk.edu.hk
    Office: Room 1024, 10/F, SHB, CUHK
    Consultation hours: Wednesday 10am-12am

Useful links

News

  • Welcome to CSCI3230 Fall 2021!
  • First lecture will start on 7 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 AI important concepts, linear regression, logistic regression, clustering, SVM, PCA, neural network basics and deep models, 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 2021Fall, 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     Mong Man Wai Bldg 706
Thursday                                10:30am - 11:15am     Science Centre L1

Tutorials:

(T01) Wednesday                  13:30pm - 14:15pm     Mong Man Wai Bldg LT2
(T02) Wednesday                  17:30pm - 18:15pm     Wong Foo Yuan Bldg LT4
(T03) Thursday                      14:30pm - 15:15pm     Lee Shau Kee Building 514-5

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 7,9 Introduction Dr. Dou -
2 Sep 14,16 Linear Regression Dr. Dou Wang Y
3 Sep 21,23 Logistic Regression Dr. Dou Wang Y
4 Sep 28,30 Support Vector Machine Dr. Dou Zheng C
5 Oct 5,7 Clustering Algorithms Dr. Dou Ma W
6 Oct 12 Dimensionality Reduction Dr. Dou Wang Y
7 Oct 19,21 Neural Network Basics Dr. Dou Wang Z
8 Oct 26,28 Convolutional Neural Networks Dr. Dou Wang Z
9 Nov 2,4 Uninformed Search Dr. Dou Chen M
10* Nov 9,11 A*Search and Heuristics Dr. Dou Chen M
11* Nov 16,18 Markov Decision Processes Dr. Dou Chen M
12* Nov 23,25 AI Applications in Healthcare Dr. Dou Ma W
13* Nov 30,Dec 2 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.


© CSCI3230 (ESTR3180) | Fall 2021 | The Chinese University of Hong Kong