Module 32167 (2019)
Module description - Neural Computation
The Module Description is a strict subset of the Syllabus Page.
|Module Title||Neural Computation|
|School||School of Computer Science|
|Member of Staff||Per Kristian Lehre Jinming Duan|
|Semester||Semester 1 - 20 credits|
3 hrs/week of lectures
Contact Hours: 200 hours Lecture: 33 hours Practical classes/workshops: 22 hours Guided independent study: 145 hours
This module introduces the basic concepts and techniques of neural computation, and its relation to automated learning in computing machines more generally. It covers the main types of formal neuron and their relation to neurobiology, showing how to construct large neural networks and study their learning and generalization abilities in the context of practical applications.
On successful completion of this module, the student should be able to:
Sessional: 2 hr examination (80%), continuous assessment (20%)
Supplementary (where allowed): 2 hr examination (100%)