Data Mining
Division: Natural Science and Math
Department: Mathematics
Course: MATH 3280
Title: Data Mining
Description: Students will learn to efficiently find structures and patterns in large data sets. Topics will include acquiring data sets and cleaning messy and noisy raw data sets into structured and abstract forms; applying scalable and probabilistic algorithms to these well-structured abstract data sets; and, formally modeling and analyzing the error inherent in these methods. Students will consider data representations and trade-offs between accuracy and scalability.
Courses Taught Fall 2024
| Section | CRN | Schedule | Instructor |
|---|---|---|---|
| 3280-001 | 5601 | TTH8:00 am-9:15 am | Olson, Michael E. |
Courses Taught Spring 2025
No courses to display for this term.