Course Schedule and Catalog
Course Schedule - Fall Semester 2018
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 301 002 (CRN: 14039)
SIGNALS, SYSTEMS, AND LEARNING
Long Title: SIGNALS, SYSTEMS, AND LEARNING
Department: Electrical & Computer Eng.
Instructor: Baraniuk, Richard G
Meeting: 1:00PM - 2:15PM TR (20-AUG-2018 - 30-NOV-2018)
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:
May not be enrolled in one of the following Level(s):
Graduate
Prerequisites: ELEC 241 AND (MATH 354 OR MATH 355 OR CAAM 335)
Corequisites: ELEC 303
Section Max Enrollment: 0 (permission required) Instructor Permission Required
Section Enrolled: 44
Enrollment data as of: 17-MAR-2025 2:35AM
Final Exam: Take-Home Exam
Final Exam Time:
7-DEC-2018
9:00AM - 12:00PM F
Description: Analytical framework for analyzing signals and systems. Time and frequency domain analysis of continuous and discrete time signals and systems, convolution, and the Laplace and Z transforms. Introduction to algorithms for machine learning on signals, including clustering, regression, and classification. Recommended Prerequisite(s): KINE 310