CS 307

Spring 2024 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 spring 2024
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	71618	Discussion/ Recitation Lecture	AL1 AL1	12:30PM -1:45PM 12:30PM -1:45PM	M WF	2036 Campus Instructional Facility 2036 Campus Instructional Facility	Dalpiaz, D Dalpiaz, D	Part of Term: 1 Date Range: 01/16/24-05/01/24 Section Info: At the start of registration this course is open only to those within on of the DS majors. Nov 15th all majors, except those in a CS program will be able to register. 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.