Course Offerings by term

In this two-credit capstone course, seniors draw upon previous coursework in History, Law, and Society. They cultivate new skills to present key questions and dilemmas. Students can choose from several forms of public exhibit, including a sequence of podcasts, visual exhibit, website, collection of nonfiction pieces, or video. Students are encouraged to do interviews or oral histories to strengthen their final project. This course is structured as a workshop that allows students to receive feedback and polish their work. Students will present their project at the end of the semester to the broader AUP community. Prerequisites: Senior standing, HI/LW 2030, HI/LW 2020.

Intermediate Algebra is for students who need a review before proceeding further in mathematics. The class meets once per week. Topics include linear and quadratic equations, inequalities, graphs, polynomials, factoring, radical expressions, 2x2 systems of linear equations, integer exponents and scientific notation.
This course is worth 2 credits.

A General Education course designed for students majoring in subjects not requiring math skills, and those who dislike math. Projects are developed from a range of everyday situations: banking, the stock market, gambling, and even art. Meeting alternately in the classroom and the computer lab to develop mathematical models, students will develop quantitative reasoning, critical thinking, and problem-solving skills. MA1005 CCM is not open to students who have taken MA1020 (Statistics) or above, and students cannot receive credit for MA 1005 if they have received credit for previously taking (either at AUP or transferred in) any math higher than or equivalent to MA 1005 CCM Math for Life.

Introduces the tools of statistical analysis. Combines theory with extensive data collection and computer-assisted laboratory work. Develops an attitude of mind accepting uncertainty and variability as part of problem analysis and decision-making. Topics include: exploratory data analysis and data transformation, hypothesis-testing and the analysis of variance, simple and multiple regression with residual and influence analyses.