Programme/Approved Electives for 2024/25
None
Available as a Free Standing Elective
No
Aims
This module will introduce students to various advanced computational and statistical approaches to understanding behaviour. The module will provide students with a solid understanding of these approaches, and students will critically engage with how these approaches have been utilised to address a research question of interest to the student.
Intended Learning Outcomes
Handle and prepare research data for use with advanced computational and statistical approaches to understanding behaviour: 1,2Deploy a variety of advanced computational and statistical approaches to understanding behaviour: 1,2Interpret the results of advanced computational and statistical approaches to understanding behaviour: 1,2Critically evaluate competing cognitive theoretical perspectives using advanced computational techniques: 2Communicate a research project for a scientific audience: 2
- 24 hours of scheduled synchronous teaching (interactive, discussion-based etc.)- 24 hours of preparation for upcoming teaching sessions- 12 hours of guided asynchronous learning- 90 hours preparing for and completing the multiple choice assessment
Description of Module Assessment