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.
Units: 3.00
Grading: Letter Grade
| Session | Section | Class # | Type | Days | Time | Location | Instructor | Course Details [Key] |
|---|---|---|---|---|---|---|---|---|
| E1 | 1 | 2588 | LEC | W | 06:00 PM - 09:00 PM | Sierra Hall 1232 | Andrzej Bieszczad |
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