Microsoft Word remote sensing-booklet doc

 
 
 
 
2: Linear Algebra and Applications 
Course Structure: Lectures: 3 / 
Labs: 0 
Credit Hours: 3 
Prerequisites: None 
Course Outline: Vectors, Vector Spaces, Matrices & Determinants, Linear 
Transformations, Operations on matrices, Inner products, Eigenvalues & 
Eigenvectors. Applications to Systems of Equations and to Geometry. 
Reference Material:  
Linear Algebra by David C Lay, 3ed, Amazon, 2002 
Linear Algebra: A Modern Introduction -- by David Poole, Amazon, 2003 
Introduction to Linear Algebra, Third Edition, by Gilbert Strang, 2003, 
Amazon 
Schaum's Easy Outline of Linear Algebra by Seymour Lipschutz, Marc 
Lipson, 2002 
Linear Algebra, Fifth Edition, by Gareth Williams, 2004, Amazon