Machine Learning

0.1250 EFTS

Not offered 2017, offered in 2016

For further information see Computer Science and Software Engineering


A study of computational processes that underlie learning in machines. Topics will include inductive, analytical and case-based learning, support vector machines and graphical models.


(i) COSC367; (ii) At least 45 points of 100-, 200- or 300-level MATH / STAT (but not including MATH101, STAT101); (iii) Subject to approval of the Head of Department