Visit AUM
Apply at AUM Contact
Job vacancy HR Portal Students E-Learning Library
AUM Logo

Linear Algebra

402213 - Linear Algebra
Faculty

Faculty of Information Technology

Department

Data Science and AI

Credit Hours

3

Pre-requisite

-

Co-requisite

402101

Distribution

3 + 0
This course discusses the concept of Linear Algebra for data science. Linear algebra is used in data preprocessing, data transformation, and model evaluation. The topics covered in this course are vectors and matrices, solving matrix-vector equations, solving systems of linear equations, Euclidean vector spaces, performing eigenvalue/eigenvector analyses, and using principal component analysis to do dimension reduction on real-world datasets. To complete the analysis tasks, the student will use a programming language.