PS901-10 Computational Modelling
Introductory description
This module will cover computational modelling tools used in Psychology.
Module aims
To introduce students to the practice of computational modelling in Psychology.
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
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.
Learning outcomes
By the end of the module, students should be able to:
- Understand the purpose of computational modelling in Psychology.
- Be able to simulate, assess, and report (some) computational models in Psychology.
Indicative reading list
TBC
Subject specific skills
Understanding of a range of computational modelling tools and the way these are used in Psychology.
Transferable skills
Effective communication of results
Computational skills
Study time
| Type | Required |
|---|---|
| Lectures | 10 sessions of 1 hour (10%) |
| Practical classes | 20 sessions of 1 hour (20%) |
| Private study | 70 hours (70%) |
| Total | 100 hours |
Private study description
private study and preparation for assessment
Costs
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Assessment group A4
| Weighting | Study time | |
|---|---|---|
| Worksheet 1 | 50% | |
| Worksheet 2 | 50% |
Feedback on assessment
Annotated scripts.
Pre-requisites
It is expected that students will have undertaken PS923 or have an understanding of the R programming language.
Courses
This module is Optional for:
- Year 1 of TIMA-L981 Postgraduate Social Science Research