COMP24111 Course Unit Overview Ke Chen and Tingting Mu http://syllabus.cs.manchester.ac.uk/ugt/COMP24111/ COMP24111 Introduction to Machine Learning

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 (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!) COMP24111 Introduction to Machine Learning

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 COMP24111 Introduction to Machine Learning

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 marking any of your Lab Ex.) COMP24111 Introduction to Machine Learning

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: 11:00, 25th Oct. 2018) Exercise 3 (15 marks): Spam filtering (deadline: 11:00, 29th Nov. 2018) COMP24111 Introduction to Machine Learning INFO10007 Web Tech & Practice I

COMP24111 Introduction to Machine Learning Other Information 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. COMP24111 Introduction to Machine Learning