Course Schedule and Catalog
Course Schedule - Fall Semester 2024
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
ELEC 532 001 (CRN: 17127)
NEURAL INTERFACE ENG LAB
Long Title: NEURAL INTERFACE ENGINEERING LABORATORY
Department: Electrical & Computer Eng.
Instructor: Yamagami, Momona
Meetings:
1:00PM - 2:15PM T (26-AUG-2024 - 6-DEC-2024)
1:00PM - 3:29PM R (26-AUG-2024 - 6-DEC-2024)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture/Laboratory
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Section Max Enrollment: 15
Section Enrolled: 9
Total Cross-list Max Enrollment: 15
Total Cross-list Enrolled: 14
Enrollment data as of: 28-SEP-2024 1:57PM
Final Exam: No Final Exam
Description: 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. Cross-list: 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.