Computational Analysis I (Master's Degree in Applied Mathematics) (MATE6680)

Latest Course Syllabus-ABET Style () (PDF)

Credits: 3
Students should take this course at: 1st Year - 1st Semester


Numerical analysis aims to provide computational methods to study and solve mathematical problems involving real variables. Because the methods provide approximations to the true solution of the problem, the study of errors is very important to numerical analysis. In this course we will: provide the mathematical foundations of numerical methods; analyze the method basic theoretical properties—stability, accuracy, and computational complexity; and illustrate the method performances by means of computational examples and counterexamples by using the MATLAB® programming language. The numerical methods learned in this course are important to approximate the solutions of mathematical models of scientific problems. Course audience: graduate students of computational sciences and applied mathematics.