This course introduces sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to real-world problems. A statistical package such as Minitab or R is used for data analysis and statistical applications.

This capstone seminar fulfills the final requirement for students in the honors program. Students will enroll in this course in their final year of study. The course uses a discussion format to help students wrestle with social and ethical issues associated with natural science, mathematics or data science in the modern world. Students will be challenged to reflect on their own role and responsibility as citizens. It culminates in a written report or project presentation.

This course is a faculty-guided investigation into appropriate topics that are not part of the curriculum.

This course is a faculty-directed project that could be considered original in nature. The level of work is appropriate for students in their final two years of undergraduate study.