Time: 10am to 12am, Wednesdays
Place: Room 839, Library, Information and Research Building
Instructor: Chun-Chung Chen
Office hour: Friday 10am to 11am by appointment
Basic calculus, linear algebra, and programming experience will be helpful.
This course is intended to provide an overview on the statistical, analytic, and computational tools that are commonly used in the research field of neuroscience. It will focus on characterizing the strength and applicability of various data analytical approaches in some more intuitive than formal ways. Through practical, simplified exercises, it aims to initiate students with tools that are likely to be useful for their future research in the field.
Following the textbook the tentative outline is as following
Demonstration and implementation will be done in the Python programming language. Prior experience in Python will be helpful but not required.
Homework will generally be assigned at the conclusion of each textbook chapter. You will have a week's time to complete your homework. Each homework should be submitted in a single PDF file through the E3 digital learning platform (E3 數位教學平台).