Mar 29, 2024  
2019-2020 Undergraduate Catalogue 
    
2019-2020 Undergraduate Catalogue Archived Catalogue

DSC 301 - Applied Linear Algebra and Algorithms


Aspects of linear algebra and algorithms focused on applications to the data science field.  Topics include eigenvalues, eigenvectors, symmetric matrices, singular value decomposition, principle component analysis, gradient descent, and optimizations.

Credit Hours: 3

Prerequisite Courses: MAT 151  or MAT 161 .
Course Repeatablility: Course may not be repeated. Maximum Repeatable Hours: 3



Click here for the Spring 2024 Class Schedule.