An intermediate algebra course consisting of a blended lecture/lab component in which non-linear functions and graphs, systems of linear equations, exponents, polynomials, roots, radicals and properties of the complex numbers are considered. There is significant emphasis on scientific and geometric models, as well as the use of graphing utilities. Students cannot earn credit for both NMTH-210 and NMTH-212.

An introductory statistics course utilizing a lecture/lab format in which statistics concepts, probability, probability distributions, and bivariate data are studied. Statistical concepts that are essential for an understanding of social and political issues of contemporary life will be emphasized. Statistical software and applications will be introduced.

This course introduces statistical methods of extracting meaning from data, and basic inferential statistics. Topics covered include data and data integrity, exploratory data analysis, data visualization, numeric summary measures, the normal distribution, sampling distributions, confidence intervals, and hypothesis testing. The emphasis of the course is on statistical thinking rather than computation. Statistical software is used.