Mathematics & Statistics

Faculty

Chairs: Professor Michael Larsen, Professor Lloyd Simons
Professors: George Ashline, Joanna Ellis-Monaghan, Jim Hefferon
Assistant Professor: Amir Barghi
Assitant Visiting Professor: Chris Desjardins
Instructor: Barbara O’Donovan

The Department of Mathematics & Statistics offers Bachelor of Science major degrees in Mathematics and in Statistics and minor degrees in Mathematics and in Statistics. In addition, the department administers the program in Data Science, which offers major and minor degrees in Data Science.

The following combination of majors/minors are prohibited/allowed:

A double major in Mathematics and Statistics is not allowed.

A Mathematics major with a Statistics minor is allowed; at most two courses may overlap for credit.

A Statistics major with a Mathematics minor is allowed; at most two courses may overlap for credit.

For combinations of Data Science with Mathematics and/or Statistics, please talk to an advisor in the department.

Math Learning Outcomes:

Mathematics majors are expected to acquire competence in calculus, linear algebra, and probability and statistics. Through these fields, students are to develop understanding and skills in mathematical reasoning, logical deduction, data analysis and interpretation, and problem solving at various levels and in various contexts.

Students will communicate effectively broader mathematical reasoning approaches and more specific problem solving steps.

Students will progress from a procedural/computational understanding of mathematics to a broad understanding encompassing logical reasoning, generalization, abstraction, and formal proof. They are to formulate definitions and apply methods of direct and indirect proof.

Students will work with ideas and approaches representing the breadth of mathematical sciences, ranging from continuous to discrete and theoretical to applied.

Students will undertake an exploration of at least one advanced topic of their own choosing. This will require them to carefully read, analyze, and create mathematical arguments and draw on ideas and make connections with previous coursework.

Students will have experience with a variety of technological tools, such as computer algebra systems, visualization software, statistical packages, and computer programming languages.