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

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2025
Intro To Data Mathematics (4c)
  • Kristin P Bennett
Seats Taken: 60/60
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
2016
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