This is a tutorial-based introduction to quantitative methods for neuroscience research. The goal is to provide Matlab/Python-based hands-on skills in signal processing, basic and advanced statistics, data neuroscience (machine learning) and model fitting methods. This includes an introduction to scientific programming as well as causality-supporting methods and open science framework approaches.*This is a REQUIRED course for all MSc studentsNSCI 800 and NSCI 801 will now both be mandatory and fulfill 6.0 credits of the required 12.0 degree requirements for the program. This requirement can be waived for students who can demonstrate that they have previously taken courses that cover similar content OR that they will take a different course covering similar content in the future. Exemptions will need to be approved by the Graduate Coordinator.PREREQUISITE: none. No previous experience requiredEXCLUSION: none
