Skip to main navigation Skip to search Skip to main content

2026-27 Fall - ELEC3810 - Data Science for Neural Engineering

Course

Description

Instructor(s)/Supervisor(s)/Coordinator(s): Yiwen WANG
This is an introductory course on data science and its applications in neural engineering. The course introduces the fundamentals of data science, principles of neuroscience, and the technologies and implementations of neural engineering. The topics include probability, random variables, statistical detection and estimation, random process, structure and function of the nervous system, encoding and decoding, population coding, neural network, plasticity and learning, neural interfaces and rehabilitation.
Course period1/09/2631/12/26
Course levelUG
Course formatLecture