CS 307

Fall 2023 All Classes

All Classes

Modeling and Learning in Data Science

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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 227, MATH 257, MATH 415, MATH 416, ASRM 406.

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CS 307 class schedule data for fall 2023
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	77587	Discussion/ Recitation	D1	9:30AM -10:45AM	F	1302 Everitt Laboratory	Dalpiaz, D	Part of Term: 1 Date Range: 08/21/23-12/06/23
	77586	Lecture	MLD	9:30AM -10:45AM	MW	1302 Everitt Laboratory	Dalpiaz, D	Part of Term: 1 Date Range: 08/21/23-12/06/23 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. Not intended for CS and blended CS majors students.