IS 507

Fall 2025 Part of Term 1

Part of Term 1
Aug 25-Dec 10

Data, Statistical Models and Information

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Credit: 4 hours.

An introduction to statistical and probabilistic models as they pertain to quantifying information, assessing information quality, and principled application of information to decision making, with focus on model selection and gauging model quality. The course reviews relevant results from probability theory, parametric and non-parametric predictive models, as well as extensions of these models for unsupervised learning. Applications of statistical and probabilistic models to tasks in information management (e.g. prediction, ranking, and data reduction) are emphasized.

Prerequisite: Graduate standing.

This course satisfies the General Education Criteria in Fall 2022 for:

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IS 507 class schedule data for fall 2025
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
68976	Lecture-Discussion	AC	10:00AM -12:50PM	M	101 Transportation Building	Duvvuru, J Wang, Y Yu, Y Zhu, L	Part of Term: 1 Date Range: 08/25/25-12/10/25 Degree Notes: ONL Info Science rate course. Section Title: Data, Stat, and Info Section Info: Graduate student questions may be sent to msim-advising@illinois.edu. Restriction(s): Restricted to Graduate - Urbana-Champaign.
70324	Lecture-Discussion	BC	9:30AM -12:20PM	T	3025 Campus Instructional Facility	Li, Y Wang, H	Part of Term: 1 Date Range: 08/25/25-12/10/25 Degree Notes: ONL Info Science rate course. Section Title: Data, Stat, and Info Section Info: Graduate student questions may be sent to msim-advising@illinois.edu. Restriction(s): Restricted to Graduate - Urbana-Champaign.
73151	Lecture-Discussion	CC	12:30PM -3:20PM	T	126 Grad Sch of Lib & Info Science	Nam, A Salami, M Torvik, V	Part of Term: 1 Date Range: 08/25/25-12/10/25 Degree Notes: ONL Info Science rate course. Section Info: Graduate student questions may be sent to msim-advising@illinois.edu. Restriction(s): Restricted to Graduate - Urbana-Champaign.