English

This course provides an introduction to scientific research based on statistical methods. It covers basic techniques of probability and statistics for scientific research. The course requires knowledge of calculus (intermediate-level mathematics).

Cognitive neuroscience is the study of the functional architecture of the brain. While cognitive science has traditionally restricted itself to describing human and animal behavior at the functional level, neuroscience has focused on the understanding of biological processes and neuroanatomical substrates. As the brain is such a complex organ, cognitive neuroscience is inherently multi-disciplinary. Therefore, the course works towards an integrated understanding of information theory, cognition, neurobiology, and anatomy. This course provides in-depth coverage of two main research areas in cognitive neuroscience: perception and higher cognition. The course examines the neurobiological aspects of human behavior by focusing on neurological patients, non-invasive brain imaging techniques, and animal models where the underlying neurobiology is better understood than in humans.

In this course, students develop concepts such as convergence, continuity, completeness, compactness, and convexity in the settings of real numbers, Euclidean spaces, and more general metric spaces.