NEURAL INTERFACE ENGINEERING LABORATORY

Credit Hours: 3 · Graduate

This course is designed to provide students with hands-on experience with the techniques and tools of neural engineering towards health, rehabilitation, and assistive technology applications. During the course, students will develop a deeper understanding of the underlying principles and phenomena of engineered systems interacting with the nervous system. The course will also expose students to hardware, software, and techniques that may be useful in their future coursework and careers. Students will work individually and in teams through a series of experiments. Students will also learn and use key concepts in designing experiments and testing neural interface systems, which they will use to propose and conduct a final project of their own design. Additional coursework required beyond the undergraduate course requirements. Graduate/Undergraduate Equivalency: ELEC 435 . Recommended Prerequisite(s): ELEC 587 . Knowledge of Python or other coding equivalent. Mutually Exclusive: Cannot register for ELEC 532 if student has credit for ELEC 435 .