Undergraduate-Catalog

Mathematics

Mathematics is one of the basic pillars of liberal arts education and one of the oldest academic disciplines. It is valued for its intrinsic beauty, for the way it trains the mind in logical and analytical reasoning, and for its widespread applications throughout other fields. It provides the structural framework for disciplines such as engineering, physics, economics, data science, biology, actuarial science, and computer science, shaping the very language through which these fields advance. In a society rapidly adopting more technology and collecting a mountain of data every day, training in mathematics becomes increasingly valuable. For these reasons, the mathematics program prepares graduates as critical thinkers, ready to join the rapidly developing and constantly changing technical workforce, as well as to pursue graduate studies in pure or applied mathematics.

In addition, the SMWC Mathematics program has a partnership with Marian University designed to fast-track students into Engineering.  Upon completing the SMWC mathematics major in three years, students are fast-tracked to complete one of four possible engineering majors in only 2 additional years. This 3+2 agreement allows students to complete one of four engineering degrees: Mechanical, Civil, Chemical, or Biomedical Engineering.

Mathematics Mission and Values

The mission of the SMWC Mathematics program is to provide quality instruction examining a wide range of pure and applied mathematics disciplines to prepare students to think critically and scientifically as they refine their understanding of the mathematical sciences. The curriculum promotes inquisitiveness and logical thinking to prepare students both as future mathematicians and as intelligent, productive members of society, and to prepare them as life-long learners ready to advance in any professional or graduate career.

Program Learning Outcomes

  1. Development and work with real world applications to mathematical structures.
  2. Development of computational, algorithmic, and technological problem-solving fluency
  3. Ability to clearly communicate quantitative ideas both orally and in writing to a range of audiences
  4. Ability to read, interpret, and show the validity of mathematical proofs