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Nov 23, 2024
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MATP 4400 - Introduction to Data Mathematics
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 problems such as from engineering, medicine, and business.
Prerequisites/Corequisites: Prerequisite: MATH 1010 and CSCI 1100.
When Offered: Spring term annually.
Graded: Grades will be based on the weekly homework, in-class labs, two projects, and two in-class exams.
Credit Hours: 4
Contact, Lecture or Lab Hours: none
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