COMP 478 - Introduction to Data Mining
Description
Hours: Two hours lecture and three hours lab per week Prerequisite: COMP 350, COMP 362, MATH 151, MATH 240, MATH 352 and Consent of Instructor Practical programming introduction to tools, methods, techniques, and workflows for understanding large quantities of data. Familiarizes students with instruments for data representation, preprocessing including data cleaning and reduction, input feature selection, data analysis including classification, clustering, and prediction, and data visualization.
Meeting Information
| Days | Times | Room | Meeting Dates | Instructor |
|---|---|---|---|---|
| ARR | Online | 12/14/2024 - 1/10/2025 | Jason Isaacs |
Status: Open
Class Number: 1005
Session: Extended Session 5
Units: 3.00
Class Components: Laboratory
Career: Undergraduate
Dates: 12/14/2024 - 1/10/2025
Grading: Letter Grade
Class Availability
Information below is 24 hours old.
Enrollment Total: 19
Available Seats: 5
Wait List Capacity: 10
Wait List Total: 0
Enrollment Information
- Upper Division
- Asynchronous online