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)
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
Three hours lecture per week. An introduction to the fundamental principles of physics using algebra and trigonometry designed primarily for biology and pre-health students. Topics covered include kinematics, dynamics, oscillatory motion and fluid mechanics. Offered fall semesters. Must be taken concurrently with 270. Prerequisite: placement into MATH-220 or concurrent enrollment into MATH-113. NS
Three hours lecture per week. This course is a continuation of 250. Topics covered include gravitation, electricity, basic circuits, magnetism and optics. Must be taken concurrently with 271. Prerequisite: grade of C or higher in 250.
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
An introduction to the analysis of the real number system. Topics include continuity, differential calculus, integral calculus, sequences and series. Prerequisite: grade of C or higher in 221. QL