1. Fundamental of Artificial Intelligence (CSC3180)
Prof. David Zhang
School of Science and Engineering
The Chinese University of Hong Kong (Shenzhen) or
Tell: Room #: Chengdao Building 511 1

2. Lecturer Academic Position Professional Honors Research Interests
Chair Professor: in PolyU
Presidential Chair Professor: 2018 in CUHKSZ
Founding Lecturer (CSC3180) in CUHKSZ
Website:
Professional Honors
IEEE Fellow/ IAPR Fellow
Selected as a Highly Cited Researchers in Engineering in 2014, 2015, 2016, 2017 and 2018, respectively. (
Research Interests
Biometrics, Artificial Intelligence, Image Processing & Pattern Recognition
Publication
>400 International Journal Papers, >20 Monographs and >40 Patents from USA/HK/Japan/China

3. Teaching Arrangement Management Tutorials 18:00-18:50 Wednesday TD_201
Lectures: :00-15:00 Tuesday ZHIX_111
13:00-14:00 Thursday ZHIX_111
Tutorials :00-18: Wednesday TD_201
18:00-18: Thursday TD_201
18:00-18: Friday TD_201
Mid-term exam 20%
Assignment 30%
Final exam 50%

4. Teaching Arrangement TAs:
TA1: Hualie Jiang
Phone:
Office Hour: 19:00-20:00 Wednesday ZhirenB_502
TA2: Ruoyu Xu
Phone:
Office Hour: 16:00-17:00 Wednesday ZhirenB_502

5. Fundamentals of Artificial Intelligence (AI)
Aim: Understand the basic technologies and some typical applications
Main topics
Introduction to AI (Lecture 1)
Part I: AI Basic Technologies (Problem solving agent and Logical agent, etc.) (Lectures 2-7)
Part II: General AI approaches (DM, PCA and Sparse) (Lectures 7-11)
Part III: Recent AI development (ANN, DL) (Lectures 12-13)

6. Learning Outcomes
Upon completing this course, students will be able to:
Understand the concept of AI and its basic functions;
Use the traditional AI approaches by some typical examples;
Know recent AI developments for future work;
Apply the AI knowledge into some real applications.

7. Background Knowledge
Except Internet and Computer System, the main background is needed as follows:
CSC1001: Introduction to Computer Science: Programming Methodologies
STA2001: Probability and Statistics I

8. Mid-Term Exam and Assignment
Mid-term test:
Explain the requirement in the lecture time
Assignment:
A special topic for each group
Project output
Midterm report/Short introduction
Final Report
Final Presentation

9. Recommended Texts
Stuart Russell and Peter Norvig, Artificial Intelligence: A modern approach, 3rd edition, Prentice Hall International,
Wolfgang Ertel, Introduction to Artificial Intelligence, Springer, 2011.
Witten I H, Frank E, Hall M A, et al, Data Mining: Practical Machine Learning Tools and Techniques, Morgan Kaufmann, 2016.
Neural Networks and Deep Learning, free online book. (