Applied and Computational Mathematics

Overview

Effective use of advanced mathematical techniques has become more important in industrial settings in recent years owing to the fact that the applications of industry are addressed by implementing algorithms on the computer rather than by hand. The demand has increased for people who understand what algorithms do and how to implement mathematical algorithms knowledgeably and efficiently. 

The efficiency of an algorithm and of its implementation are issues which are often of major interest within a company. In-depth knowledge concerning this issue on the part of an employee or job applicant can increase greatly that individual’s value and ability to contribute. More generally, the skill of making advanced mathematical methods accessible is of increasing value both for research and for industrial applications. Development of skills in these areas is the primary purpose of the  Applied and Computational Mathematics program of University of Michigan - Dearborn

Goals and Themes

Provide graduate-level education in applied mathematics in order to develop comprehension of principles of applied mathematics and skills in employing those principles in industrial or scientific settings.

Themes 

• General principles and theories of applied mathematics.

• Construction and analysis of mathematical models.

• Development and efficient execution of computational mathematical algorithms.

• Opportunities for independent or collaborative work.