Geometry and algebra of vectors, matrices and linear transformations, eigenvalues of symmetric matrices, vector-valued functions and functions of several variables, partial derivatives and gradients, derivative as a matrix, chain rule in several variables, critical points and Hessian, least-squares, constrained and unconstrained optimization in several variables, Lagrange multipliers.
- Grading Basis: Letter Grade or Credit/No Credit
- Limited Enrollment Details: This course has a prerequisite requirement that the Math Placement Diagnostic must be taken prior to enrollment. The placement diagnostic will recommend the initial math course in which to enroll, and this recommendation is purely advisory. Please visit the Mathematics Department website for more information.
MATH 21, MATH 42, and the Math Placement Diagnostic (offered through the Mathematics Department website)