Mar 29, 2024  
2022-2023 Graduate Catalog 
    
2022-2023 Graduate Catalog [Not Current Academic Year. Consult with Your Academic Advisor for Your Catalog Year]

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MATH 5387 - Introduction to Data Science

Credit Hours: 3
Lecture Contact Hours: 3   Lab Contact Hours: 0
Prerequisite: Linear Algebra.

This is an introductory course in the area of data science. Course will cover a combination of concepts from statistics and machine learning. Examples of topics covered in this course include - regression, support vector machines, clustering, neural networks.
Repeatability: No

Additional Fee: N



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