This page lists courses we are running or have run in the past, and (where possible) links to course content
Of Minds and Machines
Current: This honours elective (PSYC4103) provides a gentle introduction to computational modelling of human cognition. It is structured around a series of case studies covering, inductive reasoning, concept learning, decision making and language acquisition. As such, discussions focus on whether - and how - the comparison between human and the machine learning tells us something useful about the mind.
Perception and Cognition
Current: This lecture series is part of PSYC2071, and provides an introduction to cognitive psychology. The lecture materials present a brief history to the field, and then discuss key ideas in human attention, categorisation and reasoning. The content varies a little from year to year, but the slides below are representative:
Slides: L1 | L2 | L3 | L4 |L5 | L6
Notes: L1 | L2 | L3 | L4 | L5
Learning Statistics with R
From 2011 to 2015 I used to teach introductory statistics, using the R statistical computing language, and wrote my own lecture notes, pitched at undergraduate psychology students. The notes became quite extensive, and are now effectively a book.