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

Info current as 11/21/2024
Days Times Room Meeting Dates Instructor
W  6:00 PM  -  9:00 PM  Online 1/22/2022 - 5/20/2022 Vida Vakilian

Status: Open
Class Number: 2615
Session: Extended Session 1
Units: 3.00
Class Components: Lecture
Career: Postbaccalaureate
Dates: 1/22/2022 - 5/20/2022
Grading: Letter Grade

Class Availability

Information below is 24 hours old.
Enrollment Total: 23
Available Seats: 7
Wait List Capacity: 5
Wait List Total: 0

Enrollment Information

  • Graduate Division
  • Synchronous online