Class Number: 2722
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 |
|---|---|---|---|---|
| W | 05:00 PM - 07:50 PM | 01/25/2020 - 05/22/2020 | Sierra Hall 1222 | Vida Vakilian |
Status: Open
Session: Extended Session 1
Units: 3.00
Class Components: Lecture
Career: Postbaccalaureate
Start Date: 01/25/2020
End Date: 05/22/2020
Grading: Letter Grade
Class Availability
Information below is 24 hours old.Enrollment Total: 24
Available Seats: 6
Wait List Capacity: 10
Wait List Total: 0
Enrollment Information
- Graduate Division