An introduction to the theory and applications of statistics intended for students in business, nursing and the social sciences, but also recommended for students in the liberal arts. Topics include measures of central tendency and variability, probability distributions, confidence intervals, hypothesis testing, linear regression, correlation, analysis of variance and nonparametric statistics. This course is not open to those in a mathematics major. Prerequisite: MATH 10 or recommendation of the department chairperson based upon mathematics assessment Read more »

Functions, mathematical models, limits, continuity, slope and instantaneous velocity, derivatives, techniques of differentiation, related rates, linearization, exponential and logarithmic models, indeterminate forms, graphical analysis, optimization problems, antiderivatives, definite integrals, Fundamental Theorem of Calculus Prerequisite: Recommendation of the department chairperson based on mathematics assessment Read more »

Techniques of integration, applications of definite integrals, numerical integration, improper integrals, differential equations, infinite series, convergence tests, power series, Taylor polynomials, parametric curves, polar curves, vectors, dot and cross products, lines and planes in space. Prerequisite: MATH 217 Read more »