CS 307

Spring 2022 Part of Term 1

Part of Term 1
Jan 18-May 4

Modeling and Learning in Data Science

SHOW FINAL EXAM SCHEDULE

Credit: 4 hours.

Introduction to the use of classical approaches in data modeling and machine learning in the context of solving data-centric problems. A broad coverage of fundamental models is presented, including linear models, unsupervised learning, supervised learning, and deep learning. A significant emphasis is placed on the application of the models in Python and the interpretability of the results.

Prerequisite: STAT 207; one of MATH 225, MATH 257, MATH 415, MATH 416, ASRM 406.

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CS 307 class schedule data for spring 2022
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	73189	Laboratory	AB1	2:00PM -2:50PM	T	1105 Siebel Center for Comp Sci	Li, B	Part of Term: 1 Date Range: 01/18/22-05/04/22
	71618	Lecture-Discussion	AL1	11:00AM -12:15PM	WF	112 Transportation Building	Li, B	Part of Term: 1 Date Range: 01/18/22-05/04/22 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 Undergrad - Urbana-Champaign.