COMP 478 - Introduction to Data Mining
Show Details for Open Courses Only
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.
Units: 3.00
Grading: Letter Grade
| Session | Section | Class # | Type | Days | Time | Location | Instructor | Course Details [Key] |
|---|---|---|---|---|---|---|---|---|
| 1 | 01 | 1798 | LEC | T | 9:00 AM - 10:50 AM | Sierra Hall 1141 | Bahareh Abbasi |
|
| 1 | 1L | 1799 | LAB | TH | 9:00 AM - 11:50 AM | Sierra Hall 1141 | Bahareh Abbasi |
|
Key for Course Detail Icons
- = Course Open
= Course Closed 
= Course Details 
= Textbook Info
= General Education
= Extended University
= Service-Learning- = In Person Course
= Asynchronous Online Course
= Synchronous Online Course
= Synchronous/Asynchronous Course
= No Cost Course Materials
= Low Cost Course Materials