The future? Courses I would like to teach one day.
A collection of courses I would like to teach one day.
Understanding and Applying Basic Statistical Methods Using R
A one-semester combined lecture and lab course (or discussion section), primarily based on the book of the same name by Rand R. Wilcox.
Introduction to Robust Estimation and Hypothesis Testing
A two-semester combined lecture and lab course on methods for parameter estimation and hypothesis testing (using Tukey’s sensible approach) when assumptions of classical methods are not met or outliers are an issue; primarily based on the book of the same name by Rand R. Wilcox.
Advanced Methods in Statistical Learning
A one-semester discussion section on specific advanced methods in statistical learning like generalized linear models, classification methods, cross-validation, shrinkage methods, tree-based methods, support vector machines, deep learning etc. For instance, based on the seminal textbook by James, Witten, Hastie, and Tibshirani.
Science in the Age of Computer Simulation
A one-semester discussion section on Science in the Age of Computer Simulation based on the book of the same name by Eric Winsberg.
Using Computer Simulation to Teach Statistics
How can computer simulations be used to teach statistics? In this combination of discussion section and lab we try to find that out together (with the secret goal to understand statistics better ourselves).
Historical and epistemological foundations of psychology
A discussion section on the historical and epistemological roots of psychology.
Introduction to Bayesian Inference and Data Analysis for Social Scientists
A one-semester introduction (ideally a combination of lecture and lab) to Bayesian inference and data analysis based on the prize-winning book by Richard McElreath.
A Tutorial on Bayesian Data Analysis for Psychologists
A two-semester lecture and lab course (or discussion section) on the basis of John K. Kruschke’s book. introduction (ideally a combination of lecture and lab) to Bayesian data analysis based primarily on the following books:
Nonlinear Time Series Analysis for Psychologists
A one-semester discussion section on topics and concepts of nonlinear time series analysis like recurrence quantification analysis, fractal analysis, autocorrelation, noise, entropy, information.
Discovering Psychology Using Video Games
Well-designed video games make efficient use of various psychological mechanisms and processes. This means that various aspects of human behavior can be accessed and explored through the lens of video games. In the first half of this one-semester course (being a combination of a discussion section and a lab) we will explore this fascinating intersection of video game design and psychology, primarily on the basis of the book The Gamer’s Brain by Celia Hodent. In the second half of the course, we will zoom into a selection of specific games and investigate their psychological aspects in detail.
Introduction to Game-based Learning
What is game-based learning? What are its psychological foundations? How can games be used to foster learning? In this one-semester course we explore those questions on the basis of the Handbook of Game-based Learning by Jan Plass, Richard E. Mayer, and Bruce D. Homer, and further, related literature.