Class Number: 1014
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.
| Days | Time | Date Range | Location | Instructor |
|---|---|---|---|---|
| ARR | 12/15/2025 - 01/11/2026 | Online | Jason Isaacs |
Status: Open
Session: Extended Session 5
Units: 3.00
Class Components: Laboratory
Career: Undergraduate
Start Date: 12/15/2025
End Date: 01/11/2026
Grading: Letter Grade
Class Availability
Information below is 24 hours old.Enrollment Total: 19
Available Seats: 11
Wait List Capacity: 0
Wait List Total: 0
Enrollment Information
- Upper Division
- Online Asynchronous
Notes
- Prerequisite course required. Consult CSUCI Catalog