CS 498

Summer 2008 All Classes

All Classes

Special Topics

Credit: 0 TO 4 hours.

Lectures in topics of current interest. See Schedule for current topics.

May be repeated. Prerequisite: As specified for each topic offering, see Schedule or departmental course description.

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CS 498 class schedule data for summer 2008
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	33860	Lecture	FDS	9:00AM -11:50AM	MTWR	Location Pending	Roth, D Heeren, C	Part of Term: S1 Date Range: 05/19/08-06/06/08 Credit: 3 hours Section Info: Topic: Foundations of Data Sciences. Prerequisites: CS 173, CS 225, Math 461/463, Math 415 or consent of instructor. This course offering will give upper level undergraduate and lower level graduate students a rigorous introduction to the mathematics, theory, and tools used in information sciences research. Topics will be drawn from Probability Theory, Statistics, Mathematical Programming, Linear Algebra, and Data Structures and Algorithms. Specifics will include (at least) stochastic processes, hypothesis testing, inference techniques, linear and non-linear programming, an introduction to clustering algorithms, and data reduction.