COMP24111 Course Unit Overview Ke Chen and Tingting Mu http:/ / - - PowerPoint PPT Presentation

COMP24111 Course Unit Overview

Ke Chen and Tingting Mu http:/ / syllabus.cs.manchester.ac.uk/ ugt/ COMP24111/

COMP24111 Introduction to Machine Learning

I ntroduction

COMP24111 Introduction to Machine Learning

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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 (11:00-13:00, Tuesday, 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!)

Lecture and Lab

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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

Lecture and Lab

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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 marking any of your Lab Ex.)

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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: 11:00, 25th Oct. 2018)
• Exercise 3 (15 marks): Spam filtering (deadline: 11:00, 29th Nov. 2018)

COMP24111 Introduction to Machine Learning

Other I nformation

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• The teaching page (URL: syllabus.cs.manchester.ac.uk/ ugt/ COMP24111/ ) contains all

the information regarding this CU, e.g. lecture notes, lab ex. specification/deadline/policy, non-assessed ex, self-revision slides, FAQ, ……

• All the lab ex marking takes place in Lab and will be marked by TAs under the supervision of

lab supervisors (Part I: T. T. Mu, Part II: K. Chen).

• You are strongly suggested reading the FAQ available on the teaching page.

Recommended textbooks

[EA] E. Alpaydin, Introduction to Machine Learning (3rd Ed.), MIT Press, 2014. (core) [KPM] K. P. Murphy, Machine learning: A Probabilistic Perspective, MIT Press, 2012. [CMB] C. M. Bishop, Pattern Recognition and Machine Learning, Springer, 2006.