I teach several courses in the Artificial Intelligence Bachelor and Master’s programs at the University of Groningen.
Computational Cognitive Neuroscience (KIM.CCN)
In this course we survey the most important cognitive models that have been related to neural data in domains ranging from decision making to memory and spatial navigation. The course also has an applied component where students learn to analyze EEG data. The syllabus can be found here.
Data Analytics & Communication (KIB.OZM)
In this course students learn the basics of research design and methods. A strong emphasis is placed on learning to interpret the results of data analysis. The syllabus can be found here. This course is taught in period 3.
Formal Models of Cognition (KIM.FMC)
I co-teach this course with Niels Taatgen, Jennifer Spenader and Fokie Cnossen. The course surveys many different cognitive models. I discuss mathematical models, with particular emphasis on the Drift Diffusion Model and Summed Similarity models.
In this course, students acquire a basic understanding of mechanics and electrical circuits (especially applied to Hodgkin-Huxley neurons). I teach the section focusing on Nengo
Honours college tutorial Portable Laboratory
This tutorial consists of 4 evening sessions in which we discuss research on contemplative practices, make a design for a computational model of those practices, and practise mindfulness ourselves. For more information, check out the course website.
BCN PhD course Project Management
In this two-day course, PhD students learn lots of useful skills about planning, communicating, and more, which are crucial for a successful PhD.
Bachelor and Master projects
I am always interested in having students do Bachelor and Master projects. You can find a list of available projects here.