Applied Mathematics

The Major in Applied Mathematics has much in common with the Major in Mathematics, but it places particular emphasis on those areas of mathematics that are important for applications in science, engineering, and computing. This is an excellent choice for students who plan to pursue graduate work in applied mathematics, as well as for those interested in pursuing career paths requiring a strong foundation in mathematical analysis and scientific computing.

sample courses:

Mathematics and Statistics 310
Foundations For Higher Mathematics

An introduction to the rigorous techniques used in more advanced mathematics. Topics include set theoretic methods of proof, counter-examples, basic logic, foundations of mathematics. Use of these methods in areas such as construction of number systems, counting methods, combinatorial arguments and elementary analysis.

Mathematics and Statistics 4121
Introduction to Lebesgue Integration

Riemann integration; measurable functions; measures; the Lebesgue integral; integrable functions; L^p spaces; modes of convergence; decomposition of measures; product measures; Lebesgue measure. Prerequisite: Math 4111 or permission of the instructor.

Mathematics and Statistics 429
Linear Algebra

Introduction to the linear algebra of finite-dimensional vector spaces. Includes systems of equations, matrices, determinants, inner product spaces, spectral theory. Prerequisite: Math 310 or permission of instructor. Math 309 is not an explicit prerequisite but students should already be familiar with such basic topics from matrix theory as matrix operations, linear systems, row reduction and Gaussian elimination. Material on these topics in early chapters of the text will be covered very quickly.

our students have gone on to become:

Accountants

Actuaries

Computer Scientists

Economists

Engineers

Industrial Mathematicians

Mathematical Analysts/Consultants

Physics Researchers

Statisticians

Stockbrokers