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Associate Degree Program


The Ralph Regula School of Computational Science is working with three Ohio community and technical colleges to prepare an Associate of Science degree program that includes computational science content and prepares graduates to matriculate to a four-year institution to complete their Bachelor of Science or related degree program. The project is funded by the National Science Foundation Advanced Technology Education Program.

During the first year of the project, the project team has devised a proposed curriculum that will allow candidates for the Associate of Science Degree to pursue a concentration in computational science. That revised major will require four additional courses:

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The purpose of the computational methods course is to reinforce concepts needed for the mathematics and computational domain courses later in the curriculum. The topics were selected based upon the common needs of each of the disciplines and are intended to strengthen mathematics skills by applying computational modeling examples to a subset of mathematical and statistical problems.

The competencies that constitute the requirements for the Introduction to Modeling and Simulation already have been finalized as a part of the undergraduate minor program. For the other areas, the team has met with both an academic and a business advisory group to define the competencies that will be required in each area.

What campuses are involved in the associate degree program?

OSC’s Ralph Regula School of Computational Science leads a partnership that initially includes:

Contacts for further information on this program:

Steve Gordon, Director, Ralph Regula School of Computational Science
Emily Dennett Mathematics Instructor, Central Ohio Technical College
Art Ross, Learning Liaison, Liberal Arts & Sciences, Sinclair Community College
Jean Zorko, Assistant Professor, Sciences, Stark State Community College

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This material is based upon work supported by the National Science Foundation under Grant No. 0703087.
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.