MATH 102Applied Linear Algebra
Second course in linear algebra from a computational yet geometric point of view. Elementary Hermitian matrices, Schur’s theorem, normal matrices, and quadratic forms. Moore-Penrose generalized inverse and least square problems. Vector and matrix norms. Characteristic and singular values. Canonical forms. Determinants and multilinear algebra.
Prerequisites
From the catalog: “MATH 18 or MATH 20F or MATH 31AH and MATH 20C. Students who have not completed listed prerequisites may enroll with consent of instructor.”
Where it sits in degree plans
Required in (4)
- Mathematics (Applied) (B.S.)
- Mathematics—Applied Science (B.S.)
- Mathematics—Secondary Education (B.A.)
- Probability and Statistics (B.S.)
One of the options in (1)
- Artificial Intelligence