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This course covers the theory and practice of Linear Algebra and its applications.
Learning Outcomes 1. Perform matrix computations, solve linear systems of equations and determine bases of the related spaces. 2. Find the nullspace, row space and column space of a matrix; apply the rank-nullity theorem. 3. Find bases for the canonical subspaces associated with a linear transformation. 4. Use eigenvector bases to diagonalize a square matrix and use the diagonalization to analyze the properties of the matrix. 5. Compute orthogonal projections and least squares solutions of overdetermined linear systems. 6. Write proofs of facts about vector spaces and linear transformations. 7. Identify practical situations where the techniques of Linear Algebra can be applied and carry out the application.
Get a Flight Credit worth up to $1,250 when you apply with code* by June 30, 2026