COMP 578 - Data Mining
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.
Meeting Information
| Days | Times | Room | Meeting Dates | Instructor |
|---|---|---|---|---|
| W | 6:00 PM - 9:00 PM | Sierra Hall 1232 | 1/24/2017 - 5/20/2017 | Andrzej Bieszczad |
Status: Open
Class Number: 2588
Session: Extended Session 1
Units: 3.00
Class Components: Lecture
Career: Postbaccalaureate
Dates: 1/24/2017 - 5/20/2017
Grading: Letter Grade
Class Availability
Information below is 24 hours old.
Enrollment Total: 21
Available Seats: 3
Wait List Capacity: 0
Wait List Total: 0
Enrollment Information
- Graduate Division