Difference between revisions of "Teacher PD"

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* Shodor's [http://www.shodor.org/interactivate/activities interactive tools]
 
* Shodor's [http://www.shodor.org/interactivate/activities interactive tools]
 
* [http://www.gigaphysics.com/index.html Gigaphysics]
 
* [http://www.gigaphysics.com/index.html Gigaphysics]
 +
* Math and physics [http://www.falstad.com/mathphysics.html applets]
  
  
== Other Relevant links ==
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== Educator resources ==
 
<!-- * The Pittsburg Supercomputing Center's [https://www.psc.edu/index.php/resources-for-educators/cast CAST program] -->
 
<!-- * The Pittsburg Supercomputing Center's [https://www.psc.edu/index.php/resources-for-educators/cast CAST program] -->
 
* Shodor's [http://shodor.org/master MASTER Tools]
 
* Shodor's [http://shodor.org/master MASTER Tools]
 
* San Diego Supercomputer Center's [http://education.sdsc.edu/teachertech TeacherTECH]
 
* San Diego Supercomputer Center's [http://education.sdsc.edu/teachertech TeacherTECH]
 
* HPC University [http://www.hpcuniversity.org/educators/programs Resources for Computational Modeling]
 
* HPC University [http://www.hpcuniversity.org/educators/programs Resources for Computational Modeling]
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* NASA's educator [http://www.grc.nasa.gov/WWW/k-12/aerores.htm resources]
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* Economic modelling [http://www2.econ.iastate.edu/tesfatsi/ace.htm resources]
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* Earthquake engineering [http://nees.org/education/for-teachers/collegiate-teachers resources]

Revision as of 12:20, 29 September 2014

This page will contain information for the Teacher PD course currently under development.


Purpose

This purpose of this PD course is to assist teachers in developing class materials which demonstrate the power and utility of scientific computing. The course content will be largely teacher-driven, with material presented on requested subjects in computing.


Possible topics

The goal of the course is to assist teachers in developing their own content. As such, the teachers themselves will determine the direction of the course. To get started, we list some possible topics below.

  • Computational thinking, necessary for understanding a wide range of disciplines, as well as an useful skill set in its own right.
  • Computational thinking skills for educators; best practices in teaching computational skills to students
  • Existing simulation/data analysis tools that can be used in discipline-specific classes
  • Basic Python programming
  • Methods for simulation
  • Methods for data analysis
  • Technologies for larger-scale computation
    • Clusters, including in-class
    • Cluster parallel computing
    • GPU parallel computing
  • Large-scale simulation techniques
  • Large-scale data analysis techniques


Interactive tools


Educator resources