# 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 Data Intensive II
Cross-listed with:
MATP-4400 Intro To Data Mathematics
Prereqs:
MATH-2010 Multivar Calc & Matrix Algebra
and
CSCI-1100 Computer Science I

# Past Term Data
Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
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| Spring | Summer | Fall
--- | --- | --- | ---
| (Session 1) | (Session 2) |

2026

Intro To Data Mathematics (4c)

- Elisabeth Maria Brown

Seats Taken: 45/60

2025

Intro To Data Mathematics (4c)

- Kristin P Bennett

Seats Taken: 61/60

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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