The course outcomes are

  • CO1: Describe the key concept of statistical learning;

  • CO2: Compare statistical models for prediction and estimation through supervised learning;

  • CO3: Identify relationship and structures from unlabelled data through unsupervised learning;

  • CO4: Demonstrate supervised and unsupervised learning with statistical software;

  • CO5: Interpret results from supervised and unsupervised learning.

Announcements

  • Week 1: Practical and Tutorial start from Week 1. Monday is replacement holiday for Thaipusam holiday. A pre-recorded video will be prepared for Lecture.

  • Week 2: Assignment question is ready. Start forming assignment groups and pick the dataset of interest. You can form a group of 4 to 7 members from any tutorial groups and different programmes.

  • Week 3: Chinese New Year holidays. Lecture, tutorial and practical classes will be pre-recorded. Remember to scan the QR code on Monday (16 Feb 2026) before 5 pm for all replacement classes before enjoying your Chinese New Year.

  • Week 3: All assignment groups should be formed. Those not in an assignment group will not get marks for early formation of assignment groups and will be randomly assigned a group by lecturer.

  • Week 4: Assignment groups will be finalised and assignment starts.

  • Week 6: Quiz covering practical 1 to 3, topics 1 to 3 during lecture (Monday).

  • Sample Practical Quiz from an earlier semester

  • Week 8: Monday (23 Mar 2026) is a replacement for Hari Raya Puasa holiday. Remember to scan the QR code for the replacement lecture before 2 pm on Friday. A pre-recorded video is prepared for the lecture class. If Tuesday is not a public holiday, practical classes will resume as usual.

  • Week 11: Wednesday (15 April) 6 pm: Deadline for the submission of assignment report and computer program. This may be the last week for tutorial classes.

  • Week 12: This is the last week for practical classes. Oral Presentation will be conducted.

  • Week 13: Physical Oral presentation will be continued if there are more than 6 groups.

  • Week 14: No more classes (self-study for final exam). The coursework marks will be announced in MS Teams’s 2026.02 channel by Friday or latest Week 15 Wednesday (if the assignment reports are too thick!). Check the coursework marks and inform the lecturer if there are any mistakes in the coursework marks.

  • A Complete Sample of Past Year Exam (all past exam questions can be found in the lecture notes and tutorials).

Methods of Assessment

  • Practical Quiz (12%, CO4) @ Week 6

  • Assignment. (Total: 38%, Report 18%, Program 10%, Oral Presentation 10%)

  • Final Exam (50%, CO1—​CO3,CO5. Each question corresponds to one CO)

Lecture Notes

Tutorials

Practicals

Recommendations

AI