Independent reading and/or research under the guidance of a physics faculty member. Refer to the academic policy section for independent study policy. Independent study contract is required. May be repeated for credit.

Three hours lecture/two hours lab per week. An introduction to astronomy, earth science, chemistry, and physics. Students will learn about current events that relate to these topics and how to think critically about scientific information as an informed citizen. NS

Courses on topics of interest to mathematics students offered on the basis of need, interest, or timeliness. Prerequisites: as determined by the instructor. Restricted to students with juniorstanding or higher. May be repeated for credit. For specific section description, click to the Section Details in VitNet.

Students will participate in an off campus applied mathematics internship. Internship placements may be with or without pay, and must be established prior to enrollment in this course in consultation with career services office and/or a mathematics faculty member. May be repeated for credit. Restricted to students with junior or senior standing. Graded CR/NC.

Independent reading and/or research under the guidance of a mathematics faculty member. Refer to the academic policy section for independent study policy. Independent study contract is required. May be repeated for credit.

Work with an interdisciplinary team to solve a realistic and complex problem. Teams will provide status reports and proper documentation throughout the project. Restricted to students with senior standing. A major specific (MATH) GPA of 2.5 or higher. Prerequisite: ENGR 370. (Equal to ENGR-498)

A continuation of Analytics Capstone 1. Work with an interdisciplinary team to solve a realistic and complex problem. Teams will provide status reports and proper documentation throughout the project. Prerequisite: grade of C or higher in 498. (Equal to ENGR-499)

Multivariate calculus: three-dimensional coordinate system, vectors functions, partial differentiation, multiple integration, integration in vector fields, and applications. Prerequisite: C or higher in 221. QL

Four hours lecture per week. First order equations, second order linear equations, linear systems of equations, numerical methods, nonlinear systems and phase place analysis, matrices and linear systems, matrix operations, determinants, linear transformations, vector spaces, eigenvalues and eigenvectors. Prerequisite: grade of C or higher in 221. QL

Random variables, probability theory, application, and simulation. The binomial, Poisson, geometric, normal, gamma, and chi-square distributions are studied. Additional topics covered as determined by the instructor. Prerequisite: grade of C or higher in 220; grade of C or higher in 130 or 230. QL