Course Schedule and Catalog
Course Catalog - 2019-2020
NEUR 382 - INTRO COMPUTATIONAL NEURSCI
Long Title: INTRODUCTION TO COMPUTATIONAL NEUROSCIENCE
Department: Neuroscience
Grade Mode: Standard Letter
Language of Instruction: Taught in English
Course Type: Lecture
Credit Hours: 3
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Description: Introduction to methods and theories used to describe and understand neural information processing in the brain. Models covered will range from single neuron to networks for sensory, motor and learning tasks. Programming exercises will be done using Matlab. Cross-list: ELEC 382, Graduate/Undergraduate Equivalency: NEUR 582. Recommended Prerequisite(s): CAAM 210. Mutually Exclusive: Cannot register for NEUR 382 if student has credit for NEUR 582.