Computational Science at Wittenberg University by egc94316

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									                         Steven Bogaerts
Assistant Professor of Computer Science
                  Wittenberg University




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Wittenberg
 Liberal arts college
 About 2000 students
 Located in Springfield, OH
    30 min from Dayton
    50 min from Columbus




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Computational Science

 The observation and explanation of real world
 phenomena using mathematical models and
 approaches together with computer solutions.




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Goals
 Complement established majors, unifying
  communication across disciplines
 Appreciate and understand computational models
 Develop technical skills applied to real problems




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Development
 1998-2003: Formative period
    Idea developed and championed within the institution by Dr.
     Jim Noyes

 2003-2007: Early implementation
    Funding from US DOE
        Scholarships, internships, travel, hardware, software, admin.
         and faculty support, presence in admissions




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Development
 2007-2010: Achieving sustainability
   Scholarships – Choose Ohio First Program
   Computational Internship Opportunities
     WPAFB, Nationwide Childrens’, SAIC, OSC, Leadscope, on-
      campus faculty research
     Future Jobs Regional Initiative


 2010-forward: Broader growth
    Find common needs across majors
        Data integration and analysis
        Experiential learning
   Secure more funding (we’re willing to lead and looking for
    collaborators)

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Majors with Computational Science Minors
  Primary Major            Secondary Major
    Biology                  Education
    Biochemistry/            Psychology
       Molecular Biology      French
      Chemistry              Chinese
      Physics                Management
      Math
      Computer Science
      Economics


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Program Requirements
 Prerequisites: Calculus and Computer Programming
 Core courses: Computational Models, and Natural World labs
 Multiple electives from Math, Computer Science, Physics,
  Chemistry, Economics, Biology, Geology/Environment
 Research/Internship experience




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Sample Electives
   Molecular Genetics           Environmental Geology
   Limology                     Sedimentology
   Stream Ecology               Applied Matrix Algebra
   Evolution                    Data Analysis
   Physical Chemistry           Differential Equations
   Inorganic Chemistry          Classical Mechanics
   Biochemistry                 Computational Physics
   Numerical Analysis           Signal Processing
   Artificial Intelligence      Electromagnetism
   Computer Graphics            Mathematical Physics
   Optimization                 Quantum Mechanics
   Econometrics


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Graduation Results
   2005 – Minor newly available
   2006 – First 6 minors graduated
   2007 – 2 minors graduated
   2008 – 5 minors graduated
          (first class with funded research internships)
 2009 – 1(?) minor
          (new director, Dr. Eric Stahlberg, time of transition)
 2010 – 10-15 minors projected
          (first class with 4 year scholarships)
 2011 and beyond – Expected 10-15 rate to continue


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Lessons Learned
 Faculty are key gatekeepers
 Adapt and align with the institutional plan
 Actively fill the high school pipeline
 Internships = Opportunities
 Scholarships = Incentives
 Stay current and relevant as interests evolve
 Link computational science to future individual
 success


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