The National Institute for Computational Sciences

National Computational Science Institute

2013 Workshops

With funding provided by the National Science Foundation through the XSEDE program, with additional funds from NCSI, there in no fee to attend any NCSI/XSEDE workshop this year.

Visit the workshop information and registration page.

  • While most participants are expected to be within commuting distance of the workshop location, a limited number of spaces in each workshop will be available for those traveling to a workshop from a greater distance and who would need housing. For those accepted to a workshop, this housing (double occupancy) will be provided at no cost to the participant. Those requesting single occupancy will be responsible for the difference.
  • Subject to funding, a limited number of travel scholarships may also be available to more distant faculty interested in attending the workshops. The scholarships will provide partial or full reimbursement of travel costs to and from the workshops. Preference will be given to faculty from institutions that are formally engaged with the XSEDE education program and to those who can provide some matching travel funds. Recipients are expected to be present for the full workshop. Those interested in a travel scholarship should complete the scholarship application, which can be submitted after you apply for the workshop and is available from the page where you review your application.
  • All other incidental expenses will be paid by participants.

Computational Biology for Biology Educators

Computation has become essential to the practice of contemporary biology. Story telling and concept maps, with the right tools, can quickly turn ideas in biology into dynamic, visual models. The storage, access, analysis and visualization of growing amounts of data, and the functional interpretation of complex biological phenomena require the use of a range of computational approaches and tools. This series of workshops aims to provide an introductory overview of computational resources and methods that can be used with students interested in biology or the biological applications of math at the secondary or introductory college level.

Computational Chemistry for Chemistry Educators

This workshop will cover various ways that computers can be used to enhance and expand the educational experience of students enrolled in the undergraduate chemistry curriculum. Discussions and hands-on laboratory exercises on visualization, simulation, molecular modeling, and mathematical software will be presented.

Computational Physics for Physics Educators

Computational physics has become a third way of doing physics, complementing the traditional modes of theoretical and experimental physics. The computation approach provides new tools that enhance both theory and experiment. There are pedagogical reasons for including computation in the undergraduate physics curriculum. This workshop will give the participants the opportunity to explore, modify and/or create computational modern physics materials that fit into the standard undergraduate course format and content.

Intermediate Parallel Computing

This workshop will explore concepts in intermediate parallel programming and cluster computing education. Participants will learn how to teach concepts such as distributed memory, shared memory, GPGPU programming, and scaling. The workshop will include lectures and hands-on exercises using the C and Fortran programming languages with parallel implementations utilizing the Message Passing Interface (MPI), OpenMP, and CUDA.

Introduction to Computational Thinking

This workshop aims to expose participants to and inspire them with new techniques, teaching materials, and applications to use computational models in the undergraduate curriculum. By bringing faculty and teachers from different disciplines together so that they can learn how to incorporate computational models into their classrooms and research projects, it will advance the use of computing in undergraduate science education. We desire to have participants from a broad range of disciplines, including computer science, mathematics, and the physical and life sciences.