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Special Topics in Computer Science
COMP 260
Fall 2013
Section: 01  
Crosslisting: QAC 260

In this class, Computer Science students will team up with students in other disciplines to work on a research problem that requires significant computation-intensive data analysis. All students will learn the fundamental techniques of such analysis. The specific techniques to be learned will be determined by the research problems; some that we might cover are clustering, component analysis, Bayesian analysis, and time-series analysis. The Computer Science students will be responsible for developing a well-written software platform that can be used for the project-specific analysis. The students from other disciplines will fully develop their research proposal and produce an appropriate research paper describing the project and its results.
Credit: 1 Gen Ed Area Dept: NSM MATH
Course Format: Lecture / DiscussionGrading Mode: Graded
Level: UGRD Prerequisites: None
Fulfills a Major Requirement for: (MATH)
Past Enrollment Probability: Not Available

Last Updated on APR-21-2014
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