Skip to main content
Princeton Mobile homeCourses home

Mathematical Tools for Neuroscience

NEU 314

Info tab content
This lecture course will introduce students to the mathematical and computational tools necessary to work with data sets in neuroscience. A primary goal of the course will be to introduce students to key concepts from linear algebra, probability and statistics, and machine learning, with an emphasis on practical implementations via programming. Lectures on each topic will develop relevant mathematical background, derivation of basic results, and examples of applications. The course will include problem sets requiring programming in Python. No prior programming experience is required, though it will certainly be helpful.
Instructors tab content
Sections tab content

Section B01

Section B02

Section B03

Section B04

Section L01