Courses

Title Instructor Credit
Behavioural Game Theory

What decisions do we take when they involve others' choices and welfare?
Studies show that people do take into consideration the consequences that
their decisions will have on others. They also predict what others will do and
decide accordingly.
We will read and discuss papers about the psychological factors that underpin
decision-making when interacting with others. We will see that these
decisions depend on social or “other-regarding” preferences and we look at
different attempts to specify what these preferences are. The decisions taken

Christophe Heintz 2.0
Experimental Research Methods

This course will cover the basic topics of Experimental Statistics and Research Methods for Behavioral Sciences. It will comprise the subjects of scales, descriptive statistics, frequentist inferential statistics including independent and repeated measure t-tests, one- and two-way ANOVAs, effect sizes, correlational and regression analysis, and selected nonparametric methods. In addition, the basics of Bayesian statistics will be introduced and contrasted with frequentist statistics.

József Fiser 2.0
Infant Cognition

This course introduces students to the ongoing research at the Cognitive Development Center. It provides an overview of contemporary theories and research techniques of cognitive development of human infants below 2 years of age, focusing on the domain of social cognition. The course also involves laboratory practice to familiarize students with research techniques including behavioral, eye-tracking and neuroimaging methods.

Gergely Csibra
György Gergely
Ágnes Melinda Kovács
2.0
Introduction to Cognitive Science

This course will give a broad overview of the fundamental assumptions and findings in Cognitive Science, the interdisciplinary study of the mind. The lectures in the first half of the course will cover the main ideas that have been driving the study of the human mind for the last fifty years. These will include the view that the mind functions like a digital computer, the view that the mind functions like a neural network, and the view that the mind should be conceived of as a dynamical system closely tied to the environment.

Guenther Knoblich 2.0
Joint Action

This course will cover recent theories and empirical research addressing the human ability to perform actions together. We will review theories highlighting the role of thinking and planning ahead as well as theories focusing on basic perceptual and motor processes that allow people to perform highly coordinated actions such as dancing a tango together. We will discuss research articles reporting behavioral and neuroscience experiments in this rapidly growing field. The course will also provide an overview of the different research methods that have been used in joint action research.

Natalie Sebanz
Guenther Knoblich
2.0
Matlab for Experiments and Data Analysis

This course will provide a hands-on introduction to programming in Matlab with a special focus on applying it to create psychological experiments and to analyze human behavioral data. After a general introduction to the basic ingredients of programming (variables, loops, good programming styles etc.), we will use Matlab to write little experiments and to collect, analyze and plot real data. This will involve simple reaction time experiments but the course will also offer an introduction to collecting and analyzing 3D human movement data with the Polhemus motion tracking system.

Guenther Knoblich
Cordula Vesper
2.0
Statistical Models of Perception, Action, Cognition

Biological organisms make choices and often the possible outcomes of their choices are uncertain.  Several different fields focus on how organisms cope with uncertainty: decision making in psychology, micro-economics, foraging theory in biology, motor planning in psychology, and perceptual judgment in psychology. The foci of research in all of these areas overlap considerably but the terminologies an differ considerably. What these areas share is a common statistical framework, Bayesian decision theory.

Laurence T Maloney 2.0
The Origin of Concepts

The course provides an introduction into current-day philosophically inspired cognitive developmental theory and evolutionary perspectives of the nature of human concepts and their origins. The core reading for the course will be the book by Susan Carey entitled `The Origin of Concepts` (OUP, 2009).

Gergely Csibra,
György Gergely
2.0
Visual perception and learning in the brain

This course will be built around the contemporary research of vision. First, it will cover the classical approaches of low and high-level vision, visual learning, the neural implementation of perception and learning in the brain, and computational models. Next, it will critically evaluate the state-of-the-art and explore alternative approaches to the same issues. Specifically, it will discuss the probabilistic view on vision, and how it changes the research questions in focus.

József Fiser 2.0