E-mail
jwong@math.cuhk.edu.hk
Office
Lady Shaw Bldg 208
Phone extension
3943 - 7987
Lecturer's office hours
Please email me to arrange an appointment.

Period
Wednesday 1:30PM - 4:15PM
Venue
Lady Shaw Bldg G36
Course Information

Goal

The objective of this seminar is to provide students with a solid understanding of Artificial Intelligence (AI) with sufficient opportunity to accrue knowledge, experience, and competence in the methods that define the field. Artificial Intelligence concepts, methods, and systems are becoming more integrated into everyday activities. There are three main aspects of this seminar:

  • We will focus on issues related to AI algorithms developed in the past in terms of mathematical theories, formulations and modeling.
  • We will examine different AI algorithms where topics are nature-inspired algorithms, deep learning algorithms and neutral network algorithms.
  • We will study many real-life applications of AI using algorithms described above.

Prerequisite

Students taking this course must have completed MATH2221.

Text and References

Reading List

Text:

Reference List: This will be updated during the academic year.

The text/references is/are available at the CUHK library.

Academic Offenses

The Chinese University of Hong Kong places very high importance on honesty in academic work submitted by students, and adopts a policy of zero tolerance on cheating and plagiarism. Any related offence will lead to disciplinary action including termination of studies at the University. For information on categories of offenses and types of penalties, students should consult the following link: .

Assessment

Your final letter-grade will be determined by two activities as follows:

The seminar, which lasts for about 13 weeks, will be chopped into two sections. We will have an elementary discussion of artificial intelligence with regard to the ground work of mathematics in Section 1. The core of the seminar will be in Section 2. We shall study different artificial intelligence algorithms.

Each student must to present twice: once in Section 1 and once in Section 2.

  • 1. In Section 1, each presentation will last about 2 hours 30 minutes; each topic will be taken from several books given in the reading list. From the first10 weeks of lectures and the interactive question and answer discussions, students should have a big picture view of different learning algorithms. We also have a few lab demonstration activities that for those who may be interested in the applications of AI. The sequence of activities and invited speakers will be announced in the course calendar. Your presence in those lab activities will count toward the class activities and participation mark.

  • In Section 2, students will have at least 20 minutes to summarize her/his report on November 13th, 20th and 27th, 2019 and 10 minutes for a Q & A session. Each student must submit a full report, no more than 5 pages, on December 4th, 2019 via email as well as a hard-copy pdf/doc file; this report only summarizes your important findings based on your proofs, computations, programming codes and visualization tools, etc. Please attach all the details to the end of your report as the number of pages for that is unlimited.

The new assessment for MATH4900F is

  • First Presentation 50%

  • Two Guest Lectures 10%

  • Term Paper 40%

Lecture Notes

Once you have enrolled your course, we will send you a username and password to access your online learning resources.

Please click the link below to download the lecture notes.

Jeff Chak-Fu WONG, Department of Mathematics, The Chinese University of Hong Kong, Shatin, Hong Kong.