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

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

Several topics applicable to the study of business are covered. In particular, the course considers systems of linear equations and linear programming, the mathematics of finance, and an introduction to probability. Emphasis in the course is on applications. Prerequisite: acceptable placement score or grade of C or higher in 111 or 112. 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 freshman or sophomore standing. May be repeated for credit. For specific section description, click to the Section Details in VitNet.

Non-classroom experiences in the field of mathe- matics. Placements are off-campus, and may be full- or part-time, and with or without pay. Credit for experiences must be sought prior to occurance, and learning contracts must be submitted before the end of the first week of the semester. See the experiential learning: internship section of this catalog for more details. Restricted to students with freshman or sophomore 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.)