This course aims to provide an integrated training in how to be a good quantitative cognitive scientist. A huge part of being a cognitive scientist, indeed being any kind of scientist, is data science: the skills involved in capturing the right data, organizing the data in the right way, visualizing data, making inferences from data, writing about data, and curating your data openly. The course combines several elements. It introduces students to the statistical programming language R. It provides a basic course in statistics and data visualization.

A series of conferences and meetings with doctoral school directors, researchers and personalities from outside the academic world to help students plan their future studies and careers after the Master's degree.

This course aims to (i) provide the conceptual foundation for and (ii) introduce students to core debates in philosophy of cognitive science.

Prerequisites : None
ECTS : 4 (for cognitive science students) or 6 (for students from the department of Philosophy who take the accompanying TD)

This course aims to provide students with the fundamental concepts and tools necessary to study human behavior and societies through an integrative approach. Key concepts from evolutionary biology, behavioral ecology and cognitive psychology will be introduced to explain a variety of social phenomena, ranging from political attitudes to narrative fictions. Through a variety of interdisciplinary case studies students will learn to apply these theories to real-world issues, including vaccine hesitancy, climate change and school drop-out.

The purpose of this course is twofold: (1) to introduce the range of widely used computational models across neuroscience, cognitive science, and artificial intelligence, and (2) to introduce key concepts in these fields. Regarding the first aim, students will learn about different types of models and their implicit assumptions. For the second aim, students will learn different computational frameworks, ranging from single neurons to social interaction. Key equations will be explained to illustrate these concepts, but students will not be required to solve or manipulate equations.

This course will cover the bases of three fundamental psychological processes: human perception, core knowledge and memory. The course will focus mainly on experimental psychology, neuropsychology and neurophysiology providing an overview of the behavioral and neural correlates of these three pillars of human psychology. 

Prerequisites : None
ECTS : 4

This course offers an extensive overview of neuroscience, structured to be accessible for students with varied academic backgrounds. It covers fundamental neuroscientific concepts, the structure and function of the nervous system, the different main functions of the brain and the latest methodologies used in neuroscience research.