CS 545

Fall 2023 Part of Term 1

Part of Term 1
Aug 21-Dec 6

Machine Learning for Signal Processing

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Credit: 4 hours.

Fundamentals of machine learning and signal processing as they pertain to the development of machines that can understand complex real-world signals, such as speech, images, movies, music, biological and mechanical readings, etc. Hands-on examples of how to decompose, analyze, classify, detect and consolidate signals, and examine various commonplace operations such as finding faces from camera feeds, organizing personal music collections, designing speech dialog systems and understanding movie content.

4 graduate hours. No professional credit. Prerequisite: MATH 415; one of CS 361, STAT 361, MATH 461, MATH 463 or STAT 400.

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CS 545 class schedule data for fall 2023
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	75562	Lecture	MLS	12:30PM -1:45PM	TR	Siebel Center for Comp Sci	Smaragdis, P	Part of Term: 1 Date Range: 08/21/23-12/06/23 Credit: 4 hours Section Info: For up-to-date information about CS course restrictions, please see the following link: http://go.cs.illinois.edu/csregister Restriction(s): Restricted to Graduate - Urbana-Champaign. Not intended for First Time Freshman students.