BIOENG 1586 - QUANTITATIVE SYSTEMS NEUROSCIENCE

Minimum Credits: 3
Maximum Credits: 3
Systems neuroscience is the field that attempts to relate the activity of networks of neurons to perception, cognition, and behavior. This HONORS course examines major scientific results in systems neuroscience, and the 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 problems in neuroscience. Course format consists of interactive lectures, student-led discussions of important publications in neuroscience, guided analysis of neuroscience data, and designing an original set of experiments. Course Objectives: Upon completing the course, students will 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 of scientific and technical literature.
Academic Career: Undergraduate
Course Component: Lecture
Grade Component: Letter Grade
Course Requirements: PREQ: (BIOENG 1071 or 1072) and 1255 and 1320; PLAN: Bioengineering (BSE or BEH)

Click here for class schedule information.

Add to Portfolio.

Close Window