Teaching

I’ve taught courses in research methods, Bayesian statistics, and programming with R and MATLAB. Below are some of the teaching materials I’ve used in those courses.

Psychology and a Science: slides and handouts · Bayesian statistics: course book

Psychology as a Science

I taught this first-year research methods course at the University of Sussex. It introduced students to how psychological research is designed, evaluated, and analysed.

Topics included:

• Philosophy of science
• Qualitative and quantitative methods
• Open science, replication, and reproducibility
• Statistical models and probability

The archived course site contains lecture slides and handouts.

Bayesian Statistics

I taught a Masters module in Bayesian Statistics. It went through several iterations. The course book for the final version is available below. The course focused on computing and interpreting Bayes factors, a popular method in Bayesian statistics in Psychology. Rather than just teaching the mechanics of the method, I tried to introduce the students to the foundations of statistical evidence and build up their intuitions for Bayesian model comparison from first principles.

The course book includes explanations and worked examples using R and Bayesplay. Read it alongside the code to work through the calculations yourself.

You can also find a short Bayesplay example and links to its browser app on the Software page.

MATLAB

I also taught a postgraduate introductory course on MATLAB and Psychtoolbox, covering the basics of programming and tools for behavioural experiments. The former course website is currently unavailable.