Course Schedule - Fall Semester 2021

     

ELEC 301 902 (CRN: 11952)

SIGNALS, SYSTEMS, AND LEARNING

Long Title: SIGNALS, SYSTEMS, AND LEARNING
Department: Electrical & Computer Eng.
Instructor: Baraniuk, Richard G
Meeting: 1:00PM - 2:15PM TR FULLY ONLINE (23-AUG-2021 - 3-DEC-2021) 
Session: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Online
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: ELEC 241 AND (MATH 354 OR MATH 355 OR CAAM 334 OR CAAM 335)
Corequisites: ELEC 303
Section Max Enrollment: 0 (permission required) Instructor Permission Required
Section Enrolled: 42
Enrollment data as of: 26-JUN-2022 2:59AM
 
Additional Fees: None
 
Final Exam: Take-Home Exam
Final Exam Time:
8-DEC-2021  
2:00PM - 5:00PM W TBA TBA
 
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.