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.
||Gen Ed Area Dept:
|Course Format: Lecture / Discussion||Grading Mode: Graded|
||Fulfills a Major Requirement for: (CIS)(MATH)
||Past Enrollment Probability: Not Available
|Special Attributes: CQC|
|Major Readings: (If discrepancies exist between major readings in Wesmaps and the results generated by the Text Book Information link, defer to the readings posted in Broad Street Books.)|
Text Book Information
|Examination 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.
|Instructor(s): Danner,Norman Times: ..T.R.. 01:10PM-02:30PM; Location: SCIE74; |
|Permission of Instructor Required|
Enrollment capacity: 10
|Permission of instructor will be granted during the drop/add period. Students must submit either a ranked or unranked drop/add request for this course.|