Linear Algebra

This course provides a comprehensive introduction to linear algebra, emphasizing both the theoretical foundations and practical applications of the subject.

Topics include systems of linear equations, matrices and determinants, vector spaces, linear transformations, eigenvalues and eigenvectors, and orthogonality.

Students will learn how to model real-world problems using linear algebraic structures and apply computational methods to solve them.

Applications may include data science, computer graphics, engineering, and the natural sciences.

By the completion of the course, students will develop strong analytical reasoning skills and the ability to connect abstract concepts with practical problem-solving.