IS 542

Fall 2017 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 542 class schedule data for fall 2017
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	68856	Lecture-Discussion	A	9:00AM -11:50AM	T	Grad Sch of Lib & Info Science	Torvik, V	Part of Term: 1 Date Range: 08/28/17-12/13/17 Degree Notes: CC-Library Info Science course. Section Info: This is a required course for the MSIM degree. Restriction(s): Restricted to students in the Information Sciences department.
	68916	Lecture-Discussion	B	9:00AM -11:50AM	M	Grad Sch of Lib & Info Science	Stodden, V	Part of Term: 1 Date Range: 08/28/17-12/13/17 Degree Notes: CC-Library Info Science course. Section Info: This is a required course of the MSIM Degree. Restriction(s): Restricted to students in the Information Sciences department.