Module Database

Information for module PSYCGD04

This module is available for 2017/18

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Module code:PSYCGD04 (Add to my personalised list)
Title:Knowledge, Learning and Inference
Credit value:15
Division:Division of Psychology and Language Sciences
Module organiser (provisional):Paula Parpart
Organiser's location:26 Bedford Way
Available for students in Year(s):
Module prerequisites: 
Module outline: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 aims: 
Module objectives: 
Key skills provided by module: 
Module timetable: 
Module assessment:Essay (3,000 words) 100.00% 
Notes:This option module is available only for students from: MSc CoDeS, MSc Social Cognition and a limited number of Dual Masters students.  
Taking this module as an option?: 
Link to virtual learning environment (registered students only) 
Last updated:2016-10-12 14:54:47 by ucjtpho