# Intro To Data Mathematics

## MATP-4400

This course will center on applications of basic data analysis techniques such as data visualization, classification, clustering, and ridge regression. A case study approach will be used to provide immediate immersion into the problem of understanding high-dimensional data. The course will develop the necessary mathematics to understand and execute the techniques. Each student will execute a mini-data analysis project on a real-world data problem such as from engineering, medicine, and business.

4 credits
Prereqs:
MATH-2010 Multivar Calc & Matrix Algebra
and
CSCI-1100 Computer Science I

# Past Term Data
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Not Offered
Offered as Cross-Listing Only
No Term Data
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| Spring | Summer | Fall
--- | --- | --- | ---
| (Session 1) | (Session 2) |
2025 | Intro To Data Mathematics (4c) Kristin P Bennett Seats Taken: 0/60 |  |
2024 | Intro To Data Mathematics (4c) Kristin P Bennett Seats Taken: 57/60 |  |
2023 | Intro To Data Mathematics (4c) Elisabeth Maria Brown Seats Taken: 40/60 |  |
2022 | Intro To Data Mathematics (4c) Kristin P Bennett Seats Taken: 61/60 |  |
2021 | Intro To Data Mathematics (4c) Kristin P Bennett Seats Taken: 52/60 |  |
2020 | Intro To Data Mathematics (4c) Kristin P Bennett Elisabeth Maria Brown Seats Taken: 84/90 |  |
2019 | Intro To Data Mathematics (4c) Kristin P Bennett Bruce Piper Seats Taken: 96/0 |  |
2018 | Intro To Data Mathematics (4c) Kristin P Bennett Bruce Piper Seats Taken: 48/60 |  |
2017 | Intro To Data Mathematics (4c) Bruce Piper Seats Taken: 38/60 |  |
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