Topics in Euclidean and other geometries; foundations of geometry; place of Euclidean geometry among other geometries. Offered every other year. Prerequisite: grade of C or higher in 260. QL

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. (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)

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

Data analysis using simulation, machine learning algorithms: logistic regression, Naive Bayes, decision trees, k-means, k-nearest neighbors, and dimension reduction (principal component analysis). Students will learn how to test and validate models as well as format and display data. A data analysis project will be completed. Prerequisite: grade of C or higher in 230.

Study of elementary number theory, groups, rings, and fields. Specific examples and additional topics selected by instructor. Prerequisite: grade of C or higher in 112. QL

An introduction to mathematical modeling, computer simulation, and procedural programming. Various deterministic, stochastic, and simulation models are covered, with applications to engineering, physics, biology, chemistry, business, and other areas. Requirements include modeling projects with written reports and class presentations. Prerequisite: acceptable placement score or grade of C or higher in 220, 325. (Equivalent to ENGR 365). QL, WCII