Computational Modelling of Cognition (PSYC0087)

Key information

Faculty: Faculty of Brain Sciences
Teaching department: Division of Psychology and Language Sciences
Credit value: 15

Restrictions: N/A
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module introduces the range of computational formalism and methods that are currently used in the cognitive sciences. These will include Bayesian methods, symbolic approaches from artificial intelligence, machine learning techniques, and neural networks. The course will also show how these techniques can be applied to explain specific cognitive phenomena, by describing a range of current computational models. Students will also have the opportunity to develop their own simple computational models of cognitive processes.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 2 听听听 Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study: In person
Methods of assessment: 100% Coursework
Mark scheme: Numeric Marks

Other information

Number of students on module in previous year: 47
Module leader: Dr Constantin Rezlescu
Who to contact for more information: alexa.richardson@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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Important information

The catalogue has been updated with key information about the modules that will run during the 2024/25 academic session. Current and prospective students can browse through the catalogue to consider possible module choices for the coming year.

Please note,听information in the catalogue is听subject to change as teaching and assessment arrangements for 2024/25 may need to be adjusted in line with the University's Feedback and Assessment principles and operating model.

Centrally managed exam durations will be provided on students' individual exam timetables. Arrangements for locally managed exams and in-class activity will be confirmed by the teaching department for the module.

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