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2012/13 Taught Postgraduate Module Catalogue
COMP5425M Machine Learning
15 creditsClass Size: 50
Module manager: Professor Tony Cohn
Email: A.G.Cohn@leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2012/13
This module is not approved as an Elective
Objectives
On completion of this module, students should be able to:- understand the principal representations and algorithms used in machine learning;
- appreciate the capabilities and limitations of current approaches;
- evaluate the performance of machine learning algorithms;
- use existing implementation(s) of machine learning algorithms to explore data sets and build models.
Syllabus
Decision trees, Bayesian networks, instance-based learning, kernel machines, clustering, inductive logic programming, evaluation. Examples will be drawn from simple problems that arise in studies of machine language understanding and vision.
Teaching methods
| Delivery type | Number | Length hours | Student hours |
| Class tests, exams and assessment | 1 | 2.00 | 2.00 |
| Lecture | 22 | 1.00 | 22.00 |
| Private study hours | 126.00 | ||
| Total Contact hours | 24.00 | ||
| Total hours (100hr per 10 credits) | 150.00 | ||
Private study
Taught session prep: 22 hoursTaught session follow-up: 44 hours
Self-directed study: 25 hours
Assessment activities: 35 hours
Opportunities for Formative Feedback
Attendance and formative assessment.Methods of assessment
Coursework
| Assessment type | Notes | % of formal assessment |
| Assignment | Departmental | 40.00 |
| Total percentage (Assessment Coursework) | 40.00 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Exams
| Exam type | Exam duration | % of formal assessment |
| Standard exam (closed essays, MCQs etc) | 2 hr 15 mins | 60.00 |
| Total percentage (Assessment Exams) | 60.00 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Reading list
The reading list is available from the Library websiteLast updated: 20/03/2013
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- Undergraduate module catalogue
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