Assistant Professors—Federico, Slauson, Wilkinson
Mathematics is a cultural and technical field of study. In order to contribute to both the liberal arts and the professional aspects of the student’s education, the offerings are planned with the following objectives: 1) to teach mathematics in such a way that students will see it as a universal language of creative and critical thought; 2) to prepare students for graduate study; 3) to prepare students for immediate employment upon graduation; 4) to provide service courses satisfying the needs of students majoring in other areas that rely substantially on mathematics; 5) to prepare students to teach at the elementary, middle or high school level.
The department cooperates in the Advanced Placement Program by placing students in advanced courses based on scores earned on the Advanced Placement Test or by evaluating the evidence of college-level courses taken in high school and the entrance test scores of the student. A sincere effort is made to place the student at a level consistent with previous background and probability of success.
Computational Science Across the Curriculum (CSAC)
Directors—Lahm, Environmental Science
Lahm, Environmental Science
Reed, Computer Science
Computational Science is a field at the intersection of mathematics, computer science, and science (hereafter, broadly defined to include biology, chemistry, engineering, environmental science, finance, geology, medical science, neuroscience, physics, and psychology). Computational Science offers an interdisciplinary approach to scientific research and provides an important tool, along-side theory and experimentation, in the development of scientific knowledge. This emerging and rapidly growing interdisciplinary field integrates computing, mathematical modeling, and visualization to solve problems in the physical, natural and behavioral sciences, finance and engineering. Students who participate in the Computational Science curriculum will:
- Experience an interdisciplinary, team-based approach to science problem solving;
- Explore the creative nature of Computational Science;
- Improve written and oral communication related to scientific and technical projects;
- Use current and emerging computing technologies; and
- Prepare to pursue graduate degrees in science and mathematics.
Computational Science complements major courses of study in biology, chemistry, computer science, education, environmental science, mathematics, pre-engineering, pre-professional health and pre-medicine, and psychology.
Courses (All courses have the CSAC prefix and are cross listed in the respective departments):
Capital University is a participating member of the Ralph Regula School of Computational Science. This virtual school is a consortium of institutions and groups including the Ohio Board of Regents, Ohio Supercomputer Center, Ohio Learning Network and several colleges and universities across the state. Capital University is a founding member of this consortium that offers Computational Science courses both locally and at a distance to the consortium members. For more information on these course offerings, please contact the Center for Computational Studies at Capital University by emailing (ComputationalStudies@capital.edu) or visiting the Ralph Regula School of Computational Science website at www.rrscs.org.