With funding provided by the
XSEDE program, and with additional funds from NCSI,
there is no fee to attend any NCSI workshop this year.
Computational Biology for Biology Educators
This workshop will introduce college faculty to various resources that can be used to prepare students to acquire computational thinking, modeling and quantitative analysis skills that have become essential to the practice of modern biology. Hands-on sessions with software for building and running dynamic models, and analyzing sequence and genomic data will be coupled with pedagogy and examples of integration into the biology classroom. Hands-on tutorials on first two days will focus on: agent-based and system dynamics modeling; stochastic simulation and phylogenetic analysis. A variety of tools will be introduced, from introductory to advanced. The focus will then shift to group work to develop materials for the classroom, with additional sessions based on participant interest.
Dates
Location
Leaders
Deadlines
Details
Registration
Jul 18 - Jul 24
North Carolina A & T State University
Greensboro, NC
Local Coordinators:
Gregory Goins
Lead Instructors:
Jeff Krause
Notify By:
Jun 18
Methods and tools for the modeling of dynamic biological systems, analysis of biological sequences will be covered.
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
Aug 1 - Aug 7
San Jose State University
San Jose, CA
Local Coordinators:
Bradley Stone
Lead Instructors:
Clyde Metz, Elisabeth Bell-Loncella and Shawn Sendlinger
Computational Science Statewide Workshop: Creating an Associate of Science Program
This workshop has been designed to introduce you to the emerging technology of computational science for the Ohio job market. The hands-on activities will show you how easy it is to integrate computational science into your STEM classes and help you meet the Ohio Academic Content Standards in this area. This will be a great opportunity to network with fellow Ohio STEM educators. You will be introduced to the virtual school of computational science at RRSCS. For those who are interested, information about how to develop a baccalaureate minor or associate degree in computational science at your institution will be presented.
The purpose of these workshops is 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 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 natural sciences.
This course examines the different resources available through the National Science Digital Library (NSDL). Throughout this course, you will explore different ways to find resources through NSDL as well as actually examining and using the resources themselves. All of the tools learned in this class will be put to use in a culminating project where you will create a lesson plan to be used in your classroom.
Dates
Location
Leaders
Deadlines
Details
Registration
Jun 10 - Jul 20
Shodor
Durham, NC
Local Coordinators:
not specified
Lead Instructors:
not specified
Notify By:
Registration for this class offered through LearnNC.
NCSI's Parallel and Cluster Computing workshops focus on teaching faculty how to move from traditional desktop computing to modern high-performance hardware. Offerings range from end-user focused applications ready-designed for HPC to the details of creating applications designed to run on clusters, many-core machines, shared-memory machines, and graphics processing units. The material is designed for undergraduate faculty from a variety of disciplines who would like to add parallel computing to their undergraduate teaching and research. In addition, undergraduate and graduate students are encouraged to attend alongside a sponsoring faculty member. The workshop is hands-on, with exercises in both computing and curriculum development.
Dates
Location
Leaders
Deadlines
Details
Registration
May 23 - Jun 4
University of Illinois Urbana-Champaign
Urbana-Champaign, IL
Local Coordinators:
Jeff Krause
Lead Instructors:
Charles Peck
Notify By:
May 1
Intensive two-week workshop for undergraduate Blue Waters petascale research interns covering various parallelization approaches and the skills necessary to implement error-free, scalable codes.
This workshop will focus on helping faculty with the process of moving their research from the Desktop to High Performance Computing systems. With a focus on applications, participants will gain experience using a variety of HPC tools on a 130 node, 1040 core cluster at Kean and advanced visualization hardware. Much of the content will be cross-disciplinary, focusing on the details of running problems on HPC hardware (technical issues related to logging on and executing programs, schedulers, and realistic expectations of speedup,) as well as visualization tools.
Participants are encouraged to bring their own problems to the workshop. A pre-workshop poll will be conducted with participants ahead of time to identify specific programs which should be demonstrated.
Topics at the workshop will include an overview of current HPC technology and protocols, realistic expectations of speedup for common algorithms on multi-core and many-core hardware, standard protocols used for scheduling and running jobs on professional HPC systems, cross-disciplinary mathematical tools, and visualization tools. Additionally, specialized content will be selected based on applicant interest in a variety of parallel sessions, using domain specific applications in computational chemistry, physics, biology, and engineering. . . .
Intermediate parallel computing workshop covering the following topics in greater depth than in the introductory parallel workshops: Acceleration and hybrid methods; profiling, tuning and debugging; scientific libraries; scripting; data management. . . .