Course Schedule and Catalog
Course Schedule - Spring Semester 2026
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 483 001 (CRN: 24669)
NEURAL SIGNAL PROCESSING
Long Title: MACHINE LEARNING AND SIGNAL PROCESSING FOR NEURO ENGINEERING
Department: Electrical & Computer Eng.
Instructor: Shah, Nishal
Meeting: 10:50AM - 12:05PM TR (12-JAN-2026 - 24-APR-2026)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
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):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisites: CMOR 220 OR COMP 140
Section Max Enrollment: 50
Section Enrolled: 5
Total Cross-list Max Enrollment: 70
Total Cross-list Enrolled: 38
Enrollment data as of: 24-NOV-2025 10:32PM
Final Exam: No Final Exam
Description: This course covers signal processing and machine learning approaches for modern neuroscience data. Topics include latent variable models, point processes, dimensionality reduction, dynamical systems, and spectral analysis. Neuroscience applications include modeling neural firing rates, spike sorting, encoding, decoding, and electrical stimulation. Students will be introduced to public toolboxes that implement these methods. Cross-list: ELEC 548, BIOE 548. Cross-list: ELEC 548, BIOE 548. Recommended Prerequisite(s): (MATH 354 OR MATH 355 OR CMOR 302 OR CMOR 303) AND (ELEC 303 OR STAT 305 OR STAT 310 OR ECON 307) Mutually Exclusive: Cannot register for ELEC 483 if student has credit for ELEC 548.