With funding provided by the
XSEDE program, and with additional funds from NCSI,
there is no fee to attend any NCSI workshop this year.
Bridging mathematics, computing, and quantitative science with biology for undergraduate education: A workshop for 21st Century biology education.
This workshop will provide an opportunity to learn about and share new ideas, materials, and tools for integrating mathematics and physical sciences with biology through computational tools and resources. There will be ample opportunity for hands on work in launching and enhancing teaching materials. There will be three components to the workshop:
Conceptual foundations and use of bioinformatics and simulation tools Existing examples of incorporation of bioinformatics and simulation tools in teaching Development of new materials.
For persons interested in an in-depth introduction to dynamic modeling and bioinformatics, with a focus on their use in the undergraduate biology classroom. Participants new to computational science or those who have attended an interdisciplinary workshop are encouraged to attend. Also, prior participants are encouraged to apply.
Dates
Location
Leaders
Deadlines
Details
Registration
Jun 10 - Jun 16
Sweet Briar College
Sweet Briar, VA
Local Coordinators:
not specified
Lead Instructors:
not specified
Notify By:
This workshop is run jointly with the MAA PREP Workshop on Mathematical Biology for Mathematicians. To register for this workshop, see www.maa.org/prep/2007.
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.
Dates
Location
Leaders
Deadlines
Details
Registration
Jul 29 - Aug 4
Bethune-Cookman University
Daytona Beach, FL
Local Coordinators:
Seenith Sivasundaram
Lead Instructors:
not specified
Notify By:
Jun 4
This workshop will be an introduction to related computational techniques for chemistry.
For persons interested in an in-depth introduction to computational physics tools and techniques, with a focus on their use in the undergraduate physics classroom. Participants new to computational science or those who have attended an interdisciplinary workshop are encouraged to attend.
Dates
Location
Leaders
Deadlines
Details
Registration
Jul 29 - Aug 4
Bethune-Cookman University
Daytona Beach, FL
Local Coordinators:
Seenith Sivasundaram
Lead Instructors:
not specified
Notify By:
Jun 4
This workshop will be an introduction to related computational techniques for physics.
Computing in the Humanities, Arts and Social Sciences
For persons interested in an introduction to computational and high performance computing tools and techniques applicable to undergraduate humanities, arts and social science courses. This workshop is recommended for faculty and graduate students new to computational research tools and approaches, as well as those who have previously attended one of the HASTAC or CHASS workshops, but still feel they need an expanded introduction. This workshop is being held simultaneously at the following two locations via a video-conference link between the two sites.
Dates
Location
Leaders
Deadlines
Details
Registration
Jul 29 - Aug 4
San Diego Supercomputer Center
La Jolla, CA
Local Coordinators:
David Newman, Diane Baxter, Jessica Puls, Kevin Hunter, Sharon Block and Tom Murphy
Green's Function Monte Carlo 40th Anniversary Symposium
GFMC40 is a two-day symposium to honor Malvin H. Kalos, taking place on May 11 and 12th, 2007. The symposium is celebrating Malvin's more than 40 years of contributions to condensed matter physics, Monte Carlo methodology and computational science. The event will be held at the Courant Institute of Mathematical Sciences, New York University, where much of the development and application of Green's function Monte Carlo took place.
Integrating Computational Science into the Undergraduate Curriculum
The goal of the workshop is to give faculty, from a variety of fields, the foundation for incorporating computational science into their undergraduate courses. The workshop is intended for faculty who have used some computational science tools in their research or teaching, or have completed an introductory workshop on computational science. Those completing the workshop will prepare or adapt at least one instructional module to use in their classroom along with an implementation plan for that instruction. The topics that we are prepared to cover if four or more people are interested:
Introduction to Modeling and Simulation Computational physics Computational chemistry Structural modeling Computational fluid dynamics Computational biology
Introduction to Interdisciplinary Computational Science Education for Educators
For persons interested in an in-depth introduction to computational science tools and techniques as may be applied in undergraduate math and science courses. This level is recommended for persons new to the notion of computational science as well as those who have attended one of the short (1-3 day) workshops such as a Supercomputing meeting or a NCSI campus visit, but still feel they need a detailed introduction.
Parallel and Cluster Computing, with an emphasis on Biology and Chemistry
This workshop will begin with an emphasis on parallel and cluster computing in an educational setting as well as teaching issues in parallel computing. Examples suitable for classroom use will be presented, including both simple codes that can be made available for student modification and more complex examples that use state of the art open source community codes. Participants will learn about the use of the Bootable Cluster CD computing environment, and will receive copies of the BCCD software for their use. Current protocols for parallel programming will be covered.
In addition, participants will have the opportunity to be introduced to computational biology and computational chemistry tools and resources. Participants will be introduced to dynamic modeling, bioinformatics, simulation, molecular modeling, mathematical software and visualization. Participants new to computational science are encouraged to attend. Also, prior participants are encouraged to apply.
Dates
Location
Leaders
Deadlines
Details
Registration
May 20 - May 26
The University of Texas at El Paso
El Paso, TX
Local Coordinators:
Frank Montes de Oca III, Ming-Ying Leung and Patricia Teller
Partnership for Integration of Computation into Undergraduate Physics Visioning WORKshop
There are two goals for this workshop; 1. A collection of instructional proto-modules that use computation as an integral part of their learning objectives; 2. A record of critical discourse to support creation of a white paper laying out strategic guidelines for systematic development of a full body of instructional resources that integrate computation into undergraduate physics.
For persons interested in advancing their computational science, grid computing and high performance computing skills, as well as being exposed to the opportunities offered by the SC Conference (see http://sc07.supercomp.org). The program is open to undergraduate faculty, undergraduate and graduate students, and high school teachers. Instructors working with students with learning and physical challenges are encouraged to apply.
Dates
Location
Leaders
Deadlines
Details
Registration
Nov 10 - Nov 16
Reno-Sparks Convention Center
Reno, NV
Local Coordinators:
Barbara Simon-Waters, Bob Panoff, Bonnie Bracey Sutton, Charles Peck, Charles Swanson, David Joiner, Debbie Milburn, Edee Wiziecki, Edmund Moses Ndip, Emily Lathrop, Eric Jakobsson, Fred Harris, Gail Fusaro, Henry Neeman, Janet Molokach, Jesse Bemley, John Ziebarth, Mano Talaiver, Marla Ehrhart, Mechelle De Craene, Midge Liggan, Mohsen Beheshti, Paul Gray, Rubin Landau, Sangeeta Gad, Shawn Sendlinger, Steven Gordon, Sudhakar Pamidighantam, Susan Ragan, Terry Lashley, Tom Murphy and Zaida McCunney
Lead Instructors:
not specified
Notify By:
Jun 30
This workshop is designed to be introductory in nature; no prior exposure to computational science will be assumed.