• MMAT5392

  • Mathematical Principles of Artificial Intelligence

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.
Teaching Assistant
Tsz Fung YU
E-mail
tfyu@math.cuhk.edu.hk
Office
Phone extension
TA's office hours
Please email me to arrange an appointment.

Teaching Assistant
Ivan AU YEUNG
E-mail
iauyeung@math.cuhk.edu.hk
Office
Phone extension
TA's office hours
Please email me to arrange an appointment.

Course Information

Course Outline

This course offers a mathematically introductory view of the theoretical foundation and practical approach/technique to artificial intelligence (AI) and serves as a basis for more in depth treatment of specific theories for building AI by means of computing software, e.g., MATLAB, Python and/or R. The aim of this course is to illustrate both the potential and current limitations of different AI techniques with examples from a variety of applications. Students will become familiar with computational models of intelligence behavior as well as essential topics/case-studies selected from, but not limited to, including, Searching Algorithm, Data Mining, Information Retrieval, Computational Neuroscience, Social Intelligence in Computing, and Semantic Analysis.

This course assumes no prior experience with programming.

Text and References

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

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

The text/reference should not be treated as a substitute for the lectures. The lectures may present the material covered in the text in a different manner, or deviate from it entirely. You should take your own notes in class.

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 your point Ranking viz. your final score (out of 100 points). The total score for your course grades is distributed as follows:

Class Participation and Lab Assignment Activities
30%
Please visit our lab calendar website for the specified dates of our lab assignments.
(There are 6 lab assignments; we will take the best 5 lab assignment scores out of the six).
Homework
21%
Final Take-Home Test
49%
from 6:00 pm, April 26, 2021 to 11:59 pm, April 27, 2021

Important Remarks

  • If you are found cheating (in the homework assignments or in the lab), you will automatically get an F grade in this course and your act will be reported to the Department for necessary disciplinary actions.
  • To avoid copying of programs, your programs may be spot-checked, i.e., you will be asked questions regarding the statements in your program.
  • Please do not let others copy your programs or results as we have no way to tell who is copying whom and you may be liable for the penalties.

Course Format

  • The course consists of 13 lectures; the last class is a review lecture from 6:30 pm – 9:15 pm.
  • We will have 2 hours and 45 minutes for our lectures on the dates below:
    • January 11
    • January 18
    • January 25
    • February 22
    • March 15
    • April 12
    • April 19

  • There are six labs conducted in the lectures, where these six regular classes are split into two parts.
    • The lecture class starts from 6:15 pm – 8:15 pm.
    • The lab class starts from 8:15 pm – 9:15 pm.

  • There are six lab assignments and each lab assignment, together with class participation activities, is worth 6% out of 100%. We will have 2 hours for our lecture. Here are the dates:
    • February 1
    • February 8
    • March 1
    • March 8
    • March 22
    • March 29

  • The questions to be answered will be selected and presented from the previous week’s lecture teaching materials. There are two sets of problems that will be covered in the lab assignment; the first set contains review exercises as a group activity where we will work through the problems together, while the second set contains a few open-ended questions that will test how much you understand our teaching materials. There are three graded homeworks; each homework assignment is worth 7% out of 100%. A final test will be tentatively given on April 26, 2021. The test venue and time will be posted. The final test is worth 49% out of 100%.
  • Please attend our lectures and labs regularly. If you miss two or three lectures and lab assignments in a row, you are warned that you will have a very hard time following the lecture teaching materials and working out any lab assignment problems later on. Before taking this course, a student must check his/her Monday timetable and personal activities since he/she must be available during our scheduled teaching periods.

Calendar

Important Dates

January 2021

Sunday Monday Tuesday Wednesday Thursday Friday Saturday
1 2
3 4 5 6 7 8 9
10 11 - Lecture 1 12 13 14 15 16
17 18 - Lecture 2 19 20 21 22 23
24 25 - Lecture 3 26 27 28 29 30
31

February 2021

Sunday Monday Tuesday Wednesday Thursday Friday Saturday
1 - Lecture 4 + Lab 1 2 3 4 5 6
7 8 - Lecture 5 + Lab 2 9 10 11 12 13
14 15 16 17 18 19 20
21 22 - Lecture 6 23 24 25 26 27
28

March 2021

Sunday Monday Tuesday Wednesday Thursday Friday Saturday
1 - Lecture 7 + Lab 3 2 3 4 5 6
7 8 - Lecture 8 + Lab 4 9 10 11 12 13
14 15 - Lecture 9 16 17 18 19 20
21 22 - Lecture 10 + Lab 5 23 24 25 26 27
28 29 - Lecture 11 + Lab 6 30 31

April 2021

Sunday Monday Tuesday Wednesday Thursday Friday Saturday
1 2 3
4 5 6 7 8 9 10
11 12 - Lecture 12 13 14 15 16 17
18 19 - Lecture 13 20 21 22 23 24
25 26 - Final Take-Home Test 27 28 29 30

Homeworks

There will be three graded homework assignments.

Please note that you MUST do the whole homework entirely by yourself. In case of difficulty, you may consult the instructor and the tutors during their office hours. Any answers that show evidence of having been done with others will receive a score of zero; stronger action may also be taken (visit ). Don’t copy the work of others! Be neat, concise and well-organized.

Late homework answers will NOT be graded, and will receive a score of zero.

Please click the links below to download the homework.

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.