2017-2018 Undergraduate Course Catalog 
    
    Jul 18, 2018  
2017-2018 Undergraduate Course Catalog [ARCHIVED CATALOG]

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MAT 495 - Fundamentals of Data Science

College of Arts and Sciences
3 credit(s) At least 1x fall or spring
Double Numbered with: MAT 695
Fundamental methods for data science, such as regression, linear discriminant analysis, k-nearest neighbors, support vector machine, k-means, principal component analysis, and nonlinear dimension reduction. Performance evaluation and model selection. Additional work required of graduate students.
PREREQ: (MAT 331 AND MAT 521) OR (MAT 503 AND MAT 523)



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