Computational Behavioural Science

Description

Understanding human behaviour is a major challenge and a crucial step in solving many of the world’s most wicked problems. As access to computational power has grown and data sources have expanded computational modelling methods have become essential to progress in understanding cognitive and social processes. This course covers topics in perception, memory, language, reasoning, social structure and influence from a computational modelling perspective. For computer scientists, it illustrates how computational approaches can be used to capture and explain human behaviour. For behavioural scientists, it provides the skill set required to develop computational theories of cognition and social behaviour and to exploit new and emerging sources of digital data. Teaching Period: 27 July 2026 to 25 October 2026 Assessment Information: Description Timing Percentage Six computational notebooks 2500 words (equivalent) Weeks 2, 4, 6, 8, 10, 12 60% Final Exam 1500 words (equivalent) During the examination period 40% Attendance Hurdle requirement: Attendance of at least 80% of tutorial classes. In case of failure to meet the attendance requirement, additional work related to the missed class activities (e.g., short 500 word essay on missed topic) will be required before a passing grade can be awarded. N/A