Course ID:
Course Code & Number
ADA 449
Course Title
Numerical Methods for Data Science
Level
BS
Credit Hours/ ECTS Credits
(3+0+0) 3 TEDU Credits, 5 ECTS Credits
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Pre-requisite / Co-requisite::
Pre-requisites: NONE
Co-requisites: NONE
Catalog Description
Mathematics of machine learning, curve fitting, polynomial regression, harmonic regression, numerical differentiation, automatic differentiation. Important use cases of constrained and unconstrained optimization methods in machine learning, and applications of these methods to neural networks.
Course Objectives
Software Usage
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Design Content
Recommended Reading
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