Undergraduate Courses

Review of the essential mathematics for statistics. Collection & tabulation of data; the properties of frequency distributions; histograms; boxplots; measures of central tendency, dispersion & correlation; tests of hypothesis using the normal curve, the T distribution, the F distribution. Liberal Arts Core/CORE Equivalent - satisfies the requirement for Quantitative Reasoning.

How many types of people are there? When and how will you die? Will you make money? Is the system fair? This fully online course introduces students to topics in data science, probability, and statistics through big life questions. Students learn to code in the R language and use simulation-based methods rather than equations for inference. Liberal Arts Core/CORE Equiv - Satisfies Quantitative Reasoning for some programs; check with your Academic Advisor

This course is designed to be accessible and approachable for people who will be future teachers of elementary school mathematics. It is also intended for people who want to broaden their knowledge in mathematics and experience it as a relevant, challenging, and enjoyable field. It is not intended for math majors. It will be taught as a problem-based course, that allows for students to explore and develop new ideas, and apply them to real life situations. The course builds on intuitive understandings of fundamental ideas of counting and chance and moves gradually to more formal knowledge of combinatorics and probability concepts and techniques. The learning experiences offered throughout the course are designed to facilitate student interactions and active role in the learning process.
Liberal Arts Core/MAP Equivalent - satisfies the requirement for Quantitative Reasoning

Aimed at students who expect to read & interpret, rather than conduct, statistical analyses, this course is designed to help students become better & more critical consumers of quantitative evidence. Using research studies discussed in the popular media & focused on currently debated questions in education & social policy, the course covers key concepts in quantitative reasoning, basic statistics, & research design. Research readings will focus on topical issues regarding early childhood & K-12 education & other social policy issues that affect children.
Liberal Arts Core/CORE Equivalent - satisfies the requirement for Quantitative Reasoning

Aimed at students who expect to read and interpret, rather than conduct, statistical analyses, this course is designed to help students become better and more critical consumers of quantitative evidence. Using research studies discussed in the popular media and focused on currently debated questions in health and human development, the course covers key concepts in quantitative reasoning, basic statistics, and research design. Research readings will focus on topical issues regarding food and nutrition, exercise, sleep, education, and child development.

Liberal Arts Core/CORE-MAP Equivalent - satisfies the requirement for Quantitative Reasoning only for students whose Program of Study does not include a Statistics Course-see your Advisor for more information.

An introductory quantitative and statistical reasoning course designed to help students acquire statistical literacy and competency to survive in a data-rich world. The course introduces students to basic concepts in probability, research design, descriptive statistics, and simple predictive models to help them to become more savvy consumers of the information they will routinely be exposed to in their personal, academic and professional lives. Course material will be conveyed through video clips, case studies, puzzle solving, predictive competitions, and group discussions.

Liberal Arts Core/CORE Equivalent - satisfies the requirement for Quantitative Reasoning for certain programs; students should check with their Academic Advisor for confirmation.