Professor of Computer Science
Instructor of Mathematics
Assistant Professor of Mathematics
Associate Professor of Psychology
Associate Professor of Mathematics
Computational Science is the third branch of science. It is a marriage of the experimental and theoretical, combining modeling and programming to test scientific hypotheses. Techniques and skills in data analysis, algorithmic design and implementation, and mathematical modeling are fundamental in the discipline. Increasingly in modern scientific research, doing exploratory computational work prior to actual laboratory experimentation is common, both as a time and money-saver. In health-related areas, dealing successfully with massive amounts of data in different formats is a critical hurdle toward effective and efficient care.
Learning Outcomes for Computational Science
Upon completion of the major and degree requirements the successful graduate will have:
1. a robust understanding of the three broad areas that comprise computational science:
a. Data processing and analysis
b. Algorithmic design, analysis, and implementation c. Mathematical modeling and analysis;
2. the ability to work independently to effectively describe a problem within a computational science framework, and create and implement a plan to solve that problem;
3. understanding of the interdisciplinary nature of computational science, and being able to solve, computationally, problems in an chosen related major/minor discipline;
4. an understanding and appreciation of the historical development of computation and the role of computational science in modern applications within data-dependent disciplines.