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

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.

Designed for new students intending a course of study in math or science. The emphasis will be on development of effective learning skills. Topics include reading for learning; working with study teams; managing time; managing stress; coping with pressure and even failure; setting goals; exploring university resources including research and internship opportunities; and talking with upper class students about adjusting and career choices. Restricted to freshman mathematics and mathematics education majors. Graded CR/NC. (Equivalent to BIOL 112, CHEM 112.)

Review of basic algebra, linear equations and inequalities, functions and graphs, systems of linear equations, polynomials, factoring, quadratic equations, exponential and logarithmic functions. Prerequisite: acceptable placement score or successful completion of 091. Students who successfully completed 091 are required to take 081 as a co-requisite. QL

Linear equations and functions, systems of equations, quadratic equations and functions, functions and graphs, polynomial and rational functions, exponentials and logarithmic functions, and conic sections. Prerequisite: acceptable placement score or successful completion of 091. Students who successfully completed 091 are required to take 081 as a co-requisite. QL