• MMAT5391

• Mathematical Theories of Machine Learning

Text and References

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:

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 who and you may be liable for the penalties.

Course Format

• The course consists of 12 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:
• September 10
• September 17
• October 5
• November 5
• November 26
• December 3
• 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:
• September 24
• October 8
• October 22
• October 29
• November 12
• November 21
• 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 December 10, 2020. The examination venue and time will be posted. The final examination 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 Thursday timetable and personal activities since he/she must be available during our scheduled teaching periods.

Calendar

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.

Lecture Notes

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