Education

eam of Computer Engineers Work on Machine Learning Neural Network Technology Development.

Case Western Reserve University students—especially at the graduate level—can take advantage of a variety of educational opportunities and coursework through the Neural Engineering Center. 

Philosophy

Students involved in the neural engineering program learn to describe and understand the mechanisms underlying neuronal function and to explore and develop technology for interfacing, imaging and growing neural tissue.

Goal

The goal is to educate neural engineers and scientists to bridge the gap between advances in neuroscience and in mathematics, physics and engineering by integrating neuroscience and engineering education and research and education.

Vision

This educational program will develop a new breed of researchers with powerful tools to face the formidable task of understanding and simulating brain function as well as designing brain-machine interfaces.

Curriculum

Topic Course
Engineering
  • 6 graduate engineering courses in area related to research
Biological Sciences
  • 5 courses with dominant biological content

  • Physiology for Engineers (2 courses)

  • Neuroscience related courses (3 courses)

Mathematical Science
  • 2 graduate courses with primarily mathematical content
BME Core
  • Physiology

  • Instrumentation

  • Signal and Systems

  • Ethics

  • BME Seminar

  • Graduate Teaching

Research
  • 18 credit hours
Total courses 13 courses (39 credit hours)

Graduate Courses in Neural Engineering

  • Fundamentals of Bioelectricity (Biomedical Engineering)
  • Computational Neuroscience (Electrical and Computer Engineering)
  • Seminar in Computational Neuroscience (Electrical and Computer Engineering)
  • Structure and function of excitable cells (Biomedical Engineering)
  • Systems neuroscience (Neurosciences)
  • Applied Neural Control (Biomedical Engineering)
  • Cellular and Molecular Neurobiology (Neurosciences)
  • Artificial Neural Nets (Electrical and Computer Engineering)
  • Dynamics of Excitable systems  (Electrical and Computer Engineering)
  • Tissue Engineering in Biomedical Engineering (Biomedical Engineering)
  • Introduction to Neurobiology (Biology)
  • Autonomous robotics (Electrical and Computer engineering)
  • Rehabilitation for Scientists and Engineers (Biomedical Engineering)
  • Motor Systems Neuroprostheses (Biomedical Engineering)
  • Muscle, Movement and Control (Biomedical and Mechanical Engineering)