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Computational Science Education Programs CASC Meeting October 4,2012 Steven I. Gordon

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Presentation on theme: "Computational Science Education Programs CASC Meeting October 4,2012 Steven I. Gordon"— Presentation transcript:

1 Computational Science Education Programs CASC Meeting October 4,2012 Steven I. Gordon

2 Education Plan for the Morning Provide an overview of computational science related programs –Undergraduate programs in computational science –Graduate programs in computational science –Computer science programs focused on parallel and high performance computing –Professional development programs aimed at the current workforce Panel discussion focused on problems and prospects for developing and continuing these programs EMPOWER. PARTNER. LEAD.

3 Education Agenda Model Undergraduate Programs: Dr. Steven Gordon OSC Perspectives on Growing a Graduate Program in Computational Science: Dr. Terry Moore, UTK Education & Training needs to fill the Missing Middle in Digital Manufacturing: Dr. Ashok Krishnamurthy, OSC NSF/IEEE-TCPP Guidelines for an Undergraduate Core Curriculum: Dr. Sushil Prasad, Georgia State TACC’s Comprehensive Scientific Computing Curriculum: Dr. Jay Boisseau XSEDE Education Program & Formal Computational Science Programs: Dr. Steven Gordon, OSC Panel discussion EMPOWER. PARTNER. LEAD.

4 Education Overview Challenges to creating undergraduate programs in computational science Minor program in computational science Associate degree program EMPOWER. PARTNER. LEAD.

5 Education Challenges to Creating Programs in Ohio Computational science is interdisciplinary –Faculty workloads fixed on disciplinary responsibilities –Expertise at universities is spotty –Major time commitments are required to negotiate a new program No standards existed that defined the field Curriculum requirements for related fields leave little room for new electives Change is hard EMPOWER. PARTNER. LEAD.

6 Education Initial Focus in Ohio Call for faculty interest and participation Several meetings to discuss interests and possible requirements Consensus that an undergraduate minor program was a good place to start Joint application and award of NSF CI-Team demonstration project EMPOWER. PARTNER. LEAD.

7 Education Program Requirements Created a competency-based curriculum –Provides detailed outlines of the background and skills desired for students completing the program –Bridged the differences across disciplines –Allows for flexibility in implementation to fit the program into multiple institutional situations and majors with different backgrounds and focus areas Competencies can be a model for other programs 7

8 Education EMPOWER. PARTNER. LEAD. Minor program overview Undergraduate minor program –6-8 courses –Varies based on major Faculty defined competencies for all students Reviewed by business advisory committee Program started in Autumn 2007 Agreements to share students at distance, instructional modules, revenues, and teaching responsibilities Competencies for Undergraduate Minor Simulation and Modeling Programming and Algorithms Differential Equations and Discrete Dynamical Systems Numerical Methods Optimization Parallel Programming Scientific Visualization One discipline specific course Capstone Research/Internship Experience Discipline Oriented Courses

9 Education EMPOWER. PARTNER. LEAD. Example Competencies Simulation and Modeling Explain the role of modeling in science and engineering Analyze modeling and simulation in computational science Create a conceptual model Examine various mathematical representations of functions Analyze issues in accuracy and precision Understand discrete and difference-based computer models Demonstrate computational programming utilizing a higher level language or modeling tool (e.g. Maple, MATLABTM, Mathematica, other) Assess computational models Build event-based models Complete a team-based, real-world model project Demonstrate technical communication skills

10 Education EMPOWER. PARTNER. LEAD. Detailed Descriptors Example exercise

11 Education EMPOWER. PARTNER. LEAD. Implementation Statewide collaboration agreement –All students register through their home institution and pay local tuition –Transfer payment to universities hosting other students –Registrars exchange information in background to get student registered for remote courses and to transfer final grades Cross registration very modest –Everyone voraciously guards their credit hours –No tradition of cross-registration with other institutions –Still a model with promise to allow shared use of scarce faculty resources

12 Education Associate Degree Program Results of an NSF Advanced Technology Education Grant Program is an Associates in Science with a concentration in Computational Science Goal to encourage students to complete a four- year degree EMPOWER. PARTNER. LEAD.

13 Education New Courses for the Curriculum Five new courses were designed for this new program: –Computational Science Methods –Modeling and Simulation –Introduction to Computational Biology –Introduction to Computational Chemistry –Introduction to Computational Physics These courses and all developed materials have been shared among all schools participating in the program

14 Education Program Organization Also competency based – Participating institutions –Central Ohio Technical College –Sinclair Community College –Stark State Technical College EMPOWER. PARTNER. LEAD.

15 Education Summary The programs in Ohio can be used as the basis for structuring other undergraduate programs Working through the XSEDE project, we are assisting institutions with creating related undergraduate and graduate programs EMPOWER. PARTNER. LEAD.

16 Education EMPOWER. PARTNER. LEAD. Questions and Discussion

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