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

Status: Open
Class Number: 1002
Session: Extended Session 5
Units: 3.00
Class Components: Lecture
Career: Undergraduate
Dates: 12/17/2022 - 1/13/2023
Grading: Letter Grade

Class Availability

Information below is 24 hours old.
Enrollment Total: 16
Available Seats: 14
Wait List Capacity: 10
Wait List Total: 0

Enrollment Information

• Upper Division
• Asynchronous online

Notes