Natural Science 0274 - Linear Algebra

This course develops the basic geometric, algebraic, and computational foundations of vector spaces and matrices and applies them to a wide range of problems and models. In addition to containing real finite dimensional vector spaces, linear independence, linear transformations and inner product spaces, the course will cover eigenvalues and eigenvectors, diagonalization, and linear programming theory with applications to graph theory, game theory, differential equations, Markov chains, and least squares approximation. Basic programming will be taught and used throughout the course. Readings and written work will be assigned for each class. Keywords: math, linear algebra

This course includes both in-person and remote elements, but can accommodate fully remote students. Students should expect to spend 6-8 hours of work a week outside of class.