COMP 260
Fall 2014 not offered
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| 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. |
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| Credit: 1 |
Gen Ed Area Dept:
NSM MATH |
| Course Format: Lecture / Discussion | Grading Mode: Graded |
| Level: UGRD |
Prerequisites: None |
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Fulfills a Requirement for: (MATH)(NS&B) |
Major Readings:
TBA
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Examinations and Assignments:
Weekly or near-weekly assignments; one major project/paper. |
Additional Requirements and/or Comments:
This section of COMP 260 meets with COMP 360-02. COMP 260 is intended for non-Computer Science majors and cannot be used to satisfy any COMP major requirements. POI requests will be approved during Drop/Add.
However, students wishing to enroll must submit a project proposal by 31 May 2013; contact the professor by e-mail for details. |
| Drop/Add Enrollment Requests | | | | | |
| Total Submitted Requests: 0 | 1st Ranked: 0 | 2nd Ranked: 0 | 3rd Ranked: 0 | 4th Ranked: 0 | Unranked: 0 |
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