Course Schedule - Fall Semester 2017

     

ELEC 301 001 (CRN: 10058)

SIGNALS, SYSTEMS, AND LEARNING

Long Title: SIGNALS, SYSTEMS, AND LEARNING
Department: Electrical & Computer Eng.
Instructor: Baraniuk, Richard G
Meeting: 1:00PM - 2:15PM TR DCH 1042 (21-AUG-2017 - 1-DEC-2017) 
Session: 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
Corequisites: ELEC 303
Section Max Enrollment: 0 (permission required) Instructor Permission Required
Section Enrolled: 37
Enrollment data as of: 30-NOV-2022 7:47AM
 
Additional Fees: None
 
Final Exam: Take-Home Exam
Final Exam Time:
8-DEC-2017  
9:00AM - 12:00PM F 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. Recommended Prerequisite(s): CAAM 335 or MATH 355