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COMP40260

Academic Year 2024/2025
The theory and practice of modeling with artificial neural networks will be presented as it is relevant to the study of human behaviour and cognition. Models are closely related to human cognitive processes in general and to developmental processes and learning in particular. This module does not aspire to teaching contemporary machine learning or deep learning, but rather to examine how connectionist and dynamical models have been and are used in theorising about humans. We will also cover basic concepts from dynamical systems theory and see how these are applied in modelling human behavior.

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Requirements, Exclusions and Recommendations

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Assessment Strategy  
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered

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Terminal Exam

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Please see Student Jargon Buster for more information about remediation types and timing. 

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