Professor | PROFESSOR

Address: Building No. 67, Second Floor, Office No. S280 | Phone: 74087

QUA 204: Linear Algebra in Business

Brief  review of matrices and their  operations - Vector Space: definition of vector space - linear independence and dependence – basis – dimension – orthogonality - dot and vector product - Matrices: rank - elementary row and column operations and their use in finding rank, inverse and solving linear equations systems - Matrix Partitions - Eigenvalues and Eigenvectors.  Prerequisite Math 140

Attachment: 
AttachmentSize
PDF icon Text Book4.68 MB
Office presentation icon systems_of_linear_equations.ppt619 KB
Office presentation icon matrix_algrbra.ppt1.31 MB
Office presentation icon inverse_of_a_matrix_and_determinants.ppt982 KB
Office presentation icon vectors_and_vector_spaces.ppt1.05 MB
Office presentation icon eigenvalues_and_eigenvectors.ppt493.5 KB
Course Materials