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. It covers study design and issues of measurement. Finally, it covers good research practices such as pre-registration, validity, reliability and reproducibility.

Prerequisites: None
ECTS: 4