Class Number: 2236
Description: Hours: Three hours lecture in the lab per week
Prerequisites: Admission to the Computer Science or Mathematics Graduate Program
This graduate course covers the fundamentals of Data Mining. Topics include: the analysis of patterns of data in large databases and data warehouses, the application of statistical pattern recognition, and data modeling and knowledge representation. Applications in large databases and gene hunting.
| Days | Time | Date Range | Location | Instructor |
|---|---|---|---|---|
| ARR | 08/25/2008 - 12/13/2008 | Online | William Wolfe |
Status: Open
Session: Extended Session 1
Units: 3.00
Class Components: Lecture
Career: Postbaccalaureate
Start Date: 08/25/2008
End Date: 12/13/2008
Grading: Letter Grade
Class Availability
Information below is 24 hours old.Enrollment Total: 22
Available Seats: 8
Wait List Capacity: 0
Wait List Total: 0
Enrollment Information
- Graduate Division
Notes
- MSCS