Director-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.