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

An introductory course with an emphasis on interpreting results and drawing conclusions from real life data. Topics include summarizing and plotting data, surveys, bias, probability, random variables, sampling distributions, hypothesis testing and confidence intervals for proportions and means, chi-square tests, and linear regression. Prerequisite: acceptable placement score or successful completion of 091. Students who successfully completed 091 are required to take 083 as a co-requisite. QL

One hour of lab per week. Develop a basic understanding of programming to manipulate data sets and generate presentation-quality plots.

An investigation of topics such as the history of mathematics, number systems, the mathematics of voting, graph theory, geometry, logic, probability, and statistics. There is an emphasis on problem-solving. Prerequisite: acceptable placement score or successful completion of 091. QL

Overview of foundational math skills for PK-9 (elementary-middle) school teachers. This course is restricted to students in the professional degree completion program.

Limits, continuity, derivatives, applications, and an introduction to the integral. Differentiation of polynomial, rational, trigonometric, logarithmic and exponential functions. Prerequisite: acceptable placement score, or at least three years of high school algebra and trigonometry with at least a B average, or a grade of C or higher in 113. QL

Integration techniques including substitution, by parts, and approximate integration. Applications of integration including area, volume, arc length, surface area, center of mass, and probability. The course also covers differential equations, direction fields, growth models, sequences, and infinite series. Prerequisite: C or higher in 220. QL

Descriptive statistics, probability, random variables, estimation of parameters, and tests of hypotheses. Inference using bootstrap and randomization distributions as well as the normal, T, chi-square and F distributions. Includes regression, analysis of variance, and multiple regression. Computers are heavily used for data analysis. Prerequisite: acceptable placement score or grade of C or higher in MATH 112. QL

Math study skills. Introduction to statistics. Pre-algebra topics. Solving linear and multivariable equations. Graphing linear equations and inequalities. Ratio, rate, and proportion. Real number system, properties, and order of operations. Area and perimeter of rectangles, areas, and circles. Algebraic problem solving. Exponents and radicals. Factoring polynomials, algebra of rational expressions, solving equations by factoring. Credits not applicable toward graduation. 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.)