COM4509 Machine Learning and Adaptive Intelligence (15 credits)

Year Running: 2015/2016

Credit level: F7

Pre-requisites for		COM4513 (when the module is running)
Additional Information		The maximum number of students allowed on the module is 30.

Description

The module is about core technologies underpinning modern artificial intelligence. The module will introduce statistical machine learning and probabilistic modelling and their application to describing real-world phenomena. The module will give students a grounding in modern state of the art algorithms that allow modern computer systems to learn from data.

Reading List

Please click here for reading list.

Teaching Methods

Delivery Type	Hours
Independent	120.0
Lecture	10.0
Problem Solving	20.0

Methods of assessment

Assessment Type	Duration	% of formal assessment	Semester
Course Work	0.0	50 %	S1
Exam	2.0	50 %	S1

Teaching methods and assessment displayed on this page are indicative for 2023-24.