1. COMP24111 Course Unit Overview
Ke Chen and Tingting Mu
COMP Introduction to Machine Learning

2. COMP24111 Introduction to Machine Learning
The Big Picture:
Introductory machine learning course unit for 2nd Year UG students
Reasonable Math background required
Matlab programming language used in lab exercises
Contact time: 20-hour lectures and 10-hour lab sessions
10 two-hour lectures (10:00-12:00, Weeks 1-5 & Weeks 7-11)
5 two-hour lab sessions (Weeks 1, 3, 5, 8 and 10)
Self-revision and back-log clearing lab marking in Week 12
No lecture but providing the self-revision materials
A two-hour lab session added for completing lab ex. marking (last chance!)
COMP Introduction to Machine Learning

3. COMP24111 Introduction to Machine Learning
Lecture and Lab
Part I (Weeks 1-5): Dr. Tingting Mu
Five lectures
Week 1: Machine learning basics, Nearest neighbour classifier
Week 2: Linear classification and regression
Week 3: Logistic regression
Week 4: Support vector machine
Week 5: Deep learning models
Three lab sessions
Week 1: Lab Ex. 1 (Matlab programming) and marking
Week 3: Lab Ex. 2 help desk
Week 5: Lab Ex. 2 marking
COMP Introduction to Machine Learning

4. COMP24111 Introduction to Machine Learning
Lecture and Lab
Part II (Weeks 7-12): Dr. Ke Chen
Five lectures
Week 7: Generative models and naïve Bayes
Week 8: Clustering analysis basics
Week 9: K-mean clustering
Week 10: Hierarchical and ensemble clustering
Week 11: Cluster validation
Three lab sessions
Week 8: Lab Ex. 3 help desk
Week 10: Lab Ex. 3 marking
Week 12: Clearing back-log (last chance for lab ex. marking)
COMP Introduction to Machine Learning

5. COMP24111 Introduction to Machine Learning
Assessment Method
Examination (60%)
Three sections: all questions are compulsory
Section A: MCQs (30 marks); Q1-15 (Part I), Q16-30 (Part II)
Section B: Questions pertaining to Part I (15 marks)
Section C: Questions pertaining to Part II (15 marks)
Lab Exercises (40%)
Three lab exercises (Lab ex 2 & 3, the same deadline for all the groups)
Exercise 1 (10 marks): Matlab programming (marked in your 1st lab)
Exercise 2 (15 marks): Handwriting recognition (deadline: 13:00, 23 Oct )
Exercise 3 (15 marks): Spam filtering (deadline: 13:00, 27 Nov )
All the lab ex marking takes place in Lab (see your personal timetable) by TAs under the supervision of lab supervisors (Lab ex. 1 & 2 (Part I) : T. T. Mu; Lab ex. 3 (Part II): K. Chen).
COMP Introduction to Machine Learning
INFO10007 Web Tech & Practice I

6. COMP24111 Introduction to Machine Learning
Other Information
Teaching page
URL:
All the information and materials regarding this CU, including lecture notes, lab ex. specification/deadline/policy, non-assessed ex, self-revision slides, past papers ……
Recommended textbooks
[EA] E. Alpaydin, Introduction to Machine Learning (3rd Ed.), MIT Press, (core)
[KPM] K. P. Murphy, Machine learning: A Probabilistic Perspective, MIT Press, 2012.
[CMB] C. M. Bishop, Pattern Recognition and Machine Learning, Springer, 2006.
COMP Introduction to Machine Learning