BIOENG 2586 - QUANTITATIVE SYSTEMS NEUROSCIENCE

Minimum Credits: 3
Maximum Credits: 3
The course examines some of the major scientific results in behavioral neuroscience, and the mathematical and computational principles of brain function they illustrate. Neuroscience topics include sensory transduction, visual processing, motor control, and neural prosthetics. Students learn to apply techniques from signals and systems, statistics, machine learning, information theory, and control theory to neuroscience data sets. Course format consists of lectures and student-led discussions of important publications in neuroscience. Upon completing the course, the student should be able to describe organizing principles of brain function, from biological and theoretical perspectives apply statistics, signal processing, and machine learning techniques to the analysis of biological data sets design novel experiments, analyses, and data interpretation demonstrate critical evaluation scientific and technical literature.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade
Course Requirements: PROG: Swanson School of Engineering

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