IS 507

Fall 2023 All Classes

All Classes

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.

4 graduate hours. No professional credit. 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 2023
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
68976	Lecture-Discussion	AC	1:00PM -3:50PM	M	English Building	Besser, S	Part of Term: 1 Date Range: 08/21/23-12/06/23 Degree Notes: ONL Info Science rate course. Section Info: Graduate student questions may be sent to msim-advising@illinois.edu. Restriction(s): Restricted to PHD:Information Sciences -UIUC or MS:Information Management-UIUC. Restricted to Graduate - Urbana-Champaign.
70324	Lecture-Discussion	BC	9:30AM -12:20PM	T	Loomis Laboratory	Wang, H	Part of Term: 1 Date Range: 08/21/23-12/06/23 Degree Notes: ONL Info Science rate course. Section Info: Graduate student questions may be sent to msim-advising@illinois.edu. Restriction(s): Restricted to PHD:Information Sciences -UIUC or MS:Information Management-UIUC.
73151	Lecture-Discussion	CC	12:30PM -3:20PM	T	Grad Sch of Lib & Info Science	Torvik, V	Part of Term: 1 Date Range: 08/21/23-12/06/23 Degree Notes: ONL Info Science rate course. Section Info: Graduate student questions may be sent to msim-advising@illinois.edu. Restriction(s): Restricted to PHD:Information Sciences -UIUC or MS:Information Management-UIUC.