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Computational Modelling

University of Warwick

Department of Psychology 2018/19

Module Code:


Module Name:

Computational Modelling

Module Credits (CATS):

15 CATS / 10 CATS (DTP version)

Module Convener

James Adelman

Module Teachers

James Adelman

Module Aims

To introduce students to the practice of computational modelling in Psychology.

Learning Outcomes

By the end of the module, students should be able to:

  • Critically evaluate claims regarding the purpose and conduct of computational modelling in Psychology.
  • Simulate (some) models in Psychology.
  • Conduct statistical analyses of the performance of models in Psychology (with reference to data).
  • Report computational modelling in a Psychological research paper context.

Assessed by:


final report

Module Work Load

Module Length

10 weeks



20 hours workshops


Module Assessment

Regular worksheets


final report


Module Programme

Purpose of computational modelling; tools for computational modelling; describing computational models; assessing and comparing computational models; reporting results of computational modelling; detailed specific examples of computational models, drawn (on a non-fixed basis) from language, memory, perception, attention, categorization etc., to illustrate critical points in the above.

Module Reading List

General background from (i.e., the MATLAB examples will not be used):

Lewandowsky, S., & Farrell, S. (2011). Computational modeling in cognition: Principles and practice. Thousand Oaks, CA: Sage.

At a more specific level, we will rely on:

Papers, on a rotating basis, to reflect the current year’s specific example topics and models.