MA 591 Fundamentals of Linear Algebra and Differential Equations 
This course covers topics from linear algebra and multivariable calculus. The computational and theoretical linear algebra topics include linear transformations, matrix algebra, bases, eigenvalues and eigenvectors, and first and second order differential equations. Topics from multivariable calculus include multivariable functions, differentiation, Taylor’s theorem, optimization and the Inverse Function Theorem. This course is a graduate level survey of the aforementioned topics for engineers and scientists. Not for credit for current math majors. 3 credit hours. 

• Prerequisite  

Undergraduate courses in the calculus sequence, preferably through multivariable calculus; course in linear algebra and ordinary differential equations; or by consent of the instructor. 

• Course Objectives  
After completing this course, students should understand the fundamental uses of linear algebra in modeling mathematical and physical problems. In particular, students should be able to
The schedule of topics follows


• Course Requirements  
This course requires homework, three midterms, and a cumulative final. Grades will be based on


• Textbook  
Instructor notes will be provided. Optional but recommended supplementary text is


• Computer and Internet Requirements  
NCSU and Engineering Online have recommended minimum specifications for computers. For details, click here 

• Instructor  
Dr. Bevin Maultsby, Teaching Assistant Professor 

