COM6106 Adaptive Intelligence (10 credits)

Year Running: 2018/2019

Credit level: F7

Pre Uni Qualification		A level maths or equivalent
Additional Information		Requires mathematical and programming background. Knowledge of programming (Matlab or Python) and A level maths is compulsory.

Description

This course will examine the theme of bio-inspired Machine Learning. The students will be taught supervised, unsupervised and reinforcement learning methods in Neural Networks, including state-of-the-art algorithms (Deep Reinforcement Learning), as well as their underpinning mathematical principles and biological inspiration. This course is accredited by the Institution of Engineering and Technology (IET).

Reading List

Please click here for reading list.

Teaching Methods

Delivery Type	Hours
Independent	70.0
Lab	10.0
Lecture	20.0

Methods of assessment

Assessment Type	Duration	% of formal assessment	Semester
Course Work	0.0	40 %	S2
Exam	2.0	60 %	S2

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