RRSCS Associate Degree Program
Ralph Regula School of Computational Science
What will be covered in the core courses?
Computational Science Methods
Gain an understanding of measurement error and computational accuracy,
while learning about statistical methods for model validation. Develop
introductory modeling skills with a software system (e.g. MATLAB). Utilize
integrated problem-solving methods found in modern research facilities and
Modeling and Simulation
Learn more about the role of modeling and simulation in science; approaches
to modeling, issues of computational accuracy, model verification and valida-
tion; and example models of linear and non-linear systems. Obtain a working
knowledge of a modeling package such as MATLAB and complete a project
that produces a model, related visualizations of the results and a technical
report describing the projects.
Computational Biology, Computational Chemistry
or Computational Physics
Develop mathematical models of biological, chemical, or physical systems
using the computational methods most appropriate for that discipline.
Construct simulations from the models using those computational tools,
explore the complex systems using the simulations and present the results
effectively in oral and written form.
Research or Internship Experience
Complete a research or internship experience of at least 1-2 months by
applying developing computational skills to a research problem under the
direction of a faculty member or as an intern with a private firm. Work on
the practical project and assemble a project report.
Electives that are part of an undergraduate minor:
Differential Equations & Discrete Dynamical Systems
Programming & Algorithms
What is the benefit of an Associate of Science degree
with a concentration in Computational Science?
An Associate of Science degree with a concentration in Computational Science