Module 02640 (2012)

Module Description - Machine Learning

The Module Description is a strict subset of the Syllabus Page, which gives more information

Module TitleMachine Learning
SchoolComputer Science
Module Code06-02640
DescriptorCOMP/06-02640/LI
Member of StaffAta Kaban
LevelI
Credits10
Semester1
Pre-requisites06-23069 (Introduction to AI) (or equivalent)
Co-requisitesNone
RestrictionsMay not be taken by anyone who has taken or is taking 06-20236 (Machine Learning (Extended)).
Contact hours24
Delivery2 hrs lectures, exercise and laboratory classes per week.
DescriptionThe module will provide a good foundation to machine learning. It will compare and contrast human learning with machine learning. It will examine the limitations of machine learning, the role of hypothesis bias and hypothesis representation.
Outcomes
On successful completion of this module, the student should be able to:Assessed by:
demonstrate a knowledge and understanding of the main approaches to machine learning Examination
demonstrate the ability to apply the main approaches to unseen examples Examination, Continuous Assessment
demonstrate an understanding of the differences, advantages and problems of the main approaches in machine learning Examination, Continuous Assessment
demonstrate an understanding of the relationship between machine learning and human learning Examination
demonstrate an understanding of the main limitations of current approaches to machine learning, and be able to discuss possible extensions to overcome these limitations Examination, Continuous Assessment
demonstrate a practical understanding of the use of machine learning algorithms Continuous Assessment
AssessmentSessional: 1.5 hr examination (80%), continuous assessment (20%).
Supplementary (where allowed): By examination only.
TextsT Mitchell, Machine Learning, 1997
R Sutton & A. Barto, Reinforcement Learning: an Introduction, 1998
Nello Cristianini & John Shawe-Taylor, Support Vector Machines and Other Kernel-Based Learning Methods, 2000
R.O. Duda, P.E. Hart & D.G.Stork, Pattern Classification, 2000
Pierre Baldi, Paolo Frasconi, and Padhraic Smyth , Modelling the Internet and the Web, 2003
Russell S & Norvig P, Artificial Intelligence, a Modern Approach, 1995