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 -
Ms. Yiyao Ma (Coordinator)
Dept. of Computer Science & Engineering
Email: yyma23@cse.cuhk.edu.hk
Office: Room 1024, 10/F, SHB, CUHK
Consultation hours: Wednesday 10am-12nn -
Mr. Kejian Shi
Dept. of Computer Science & Engineering
Email: kejianshi@link.cuhk.edu.hk
Office: Room 1024, 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 904, 10/F, SHB, CUHK
Consultation hours: Wednesday 10am-12nn -
Ms. Anran Lin
Dept. of Computer Science & Engineering
Email: linanran@link.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 1024, 10/F, SHB, CUHK
Consultation hours: Wednesday 10am-12nn
TAs:
Useful links
News
- Welcome to CSCI3230 2024-2025 (Term 1)!
- First lecture will start on 3 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 MMW 704
Thursday 10:30am - 11:15am MMW LT1
Tutorials:
(T01) Wednesday 13:30pm - 14:15pm Science Centre L5
(T02) Wednesday 17:30pm - 18:15pm Science Centre L5
(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 3,5 | Introduction | Prof. Dou | - | ||||
| 2 | Sep 10,12 | Linear Regression | Prof. Dou | Yueyao | ||||
| 3 | Sep 17,19 | Logistic Regression | Prof. Dou | Yueyao | ||||
| 4 | Sep 24,26 | Support Vector Machine | Prof. Dou | Yiyao | ||||
| 5 | Oct 3 | Clustering Algorithms | Prof. Dou | Yiyao | ||||
| 6 | Oct 8,10 | Neural Network Basics | Prof. Dou | Anran | ||||
| 7 | Oct 15,17 | Convolutional Neural Networks | Prof. Dou | Anran | ||||
| 8 | Oct 22,24 | Transformers | Prof. Dou | Anran | ||||
| 9 | Oct 29,31 | Uninformed Search | Prof. Dou | Dongchen | ||||
| 10 | Nov 5,7 | Informed Search | Prof. Dou | Dongchen | ||||
| 11 | Nov 12 | AI Applications in Healthcare | Prof. Dou | Kejian | ||||
| 12 | Nov 19,21 | AI Applications in HCI | Prof. Dou | Kejian | ||||
| 13 | Nov 26,28 | AI Applications in Robotics | Prof. Dou | Kejian | ||||
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.