Oct 05, 2022  
2020-2021 Undergraduate Catalogue 
2020-2021 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 Repeatability: Course may not be repeated. Maximum Repeatable Hours: 3

Click here for the Fall 2022 Class Schedule.