This is a hands-on course teaching the principles of functional MRI (fMRI) data analysis. We will teach you how to work with data and code to get a deeper understanding of how fMRI methods work, how they can fail, how to fix them, and how to develop new methods. We will cover the basic concepts in neuroimaging analysis, and how they relate to the wider world of statistics, engineering and computer science. At the same time we will teach you techniques of data analysis that will make your work easier to organize, understand, explain and share. Using this techniques will give you great benefits for collaborating with others, and for making your work reproducible.
At the end of the course we expect you to be able to analyze fMRI data using Python and to track and share your work with version control using git.
Please see the syllabus for a more detailed list of subjects we will cover.