About this course
Linear algebra is a branch of mathematics that focuses on linear equations, linear transformations, vector spaces, and matrices. Its far-reaching impact extends across disciplines like physics, engineering, computer science, and economics, with practical applications spanning computer graphics, machine learning, signal processing, economic models, and beyond.
This course will cover fundamental concepts of linear algebra from a mathematical perspective, including systems of linear equations, matrix algebra, determinants, vector spaces, eigenvalues and eigenvectors, orthogonality, least squares, and symmetric matrices. It has a hands-on format where a major focus is placed on mathematical application of concepts and problem solving.
Syllabus
Link to Draft Syllabus
Go to syllabusThis is a draft syllabus. The final syllabus will be available here a few days prior to the new course’s first start date.
Pre-requisites
Calculus I and Calculus II, or approval from the Department.
Faculty
Coming Soon
FacultyThe faculty teaching this course will be listed here soon.