Introductory Linear Algebra
0.5 Credit

Hours per week:
  • Lecture/Discussion: 3
  • Lab: 1

Vector geometry in R and R ; the vector space Rn and its subspaces; spanning sets, linear independence, bases and dimension; dot product in Rn ; systems of linear equations and Gaussian elimination; matrices and matrix operations, matrix inverse; matrix rank; linear transformations in Rn ; introduction to determinants, Cramer's rule; introduction to eigenvalues, eigenvectors and diagonalization of real matrices; applications of linear algebra.