Engineering Mathematics I Grad 
Course Description:
Introduction to linear algebra, including vector spaces, linear dependence and independence, linear transformations, matrices and determinants. Topics include solution of systems of linear equations and eigenvalue problems; complex variables, power series, complex integration, and residue theorem; and Fourier series and transforms. Elements of numerical analysis, numerical methods of systems of linear equations, and interpolation are also covered. 3 semester hours.
Text book:

Advanced Engineering Mathematics, Erwin Kreyszig, 10th Edition, Wiley
 Foundations of Applied Mathematics, Michael D. Greenberg, PrenticeHall.
 Advanced Calculus for Applications, Francis B. Hildebrand, 2nd Edition.
 Applied Numerical Methods Using MATLAB, Yang, Cao, Chung and Morris, Wiley Interscience
Lecture: Tuesday 6:00  9:25 PM
Syllabus   Handouts   Assignments   Sample Exams   Links 
Course References:
 Chapter 10 of your book
 Matlab Programming ebook
 Chapters: Probability/Discrete/Continuous
 Applied matlab & Num. Methods
 Engineering Num. Meths.
 Moler's Book
Course Related Links: