Students and Educational Programs Fall 2011 Review Krzysztof Fidkowski.

Slides:



Advertisements
Similar presentations
Science Department Open House Integrating Technology into Science Courses.
Advertisements

The Common Core State Standards: Opportunities and Challenges for the Mathematical Education of Teachers.
Opportunities: About to Graduate? Consider graduate studies in the Department of Computer Science Many, many research areas: AI, graphics, machine learning,
What do we currently mean by Computational Science? Traditionally focuses on the “hard sciences” and engineering –Physics, Chemistry, Mechanics, Aerospace,
Uncertainty Quantification & the PSUADE Software
Education for Life Linking State and Community Agencies to Maximize Access to Care and Improve Quality of Life for HIV Positive Individuals Presented by.
Project Dual Credit Funding through the Ohio Department of Education Managed by the Western Buckeye Educational Service Center on behalf of the Region.
A Computational Framework for Simulating Flow around Hypersonic Re-Entry Vehicles David Stroh, Anthony Marshik and Gautham Krishnamoorthy, UND Chemical.
AGEP IOWA “Never Lower our Standards Just Increase Our Efforts” Discussion Goals: Operation Model – colleagues Alliance Institution Impacts on Each Other.
Pre-engineering Education Collaborative: Providing for the Education of American Indian Engineers A Collaboration between: College of Menominee Nation.
Tidewater Community College First Year Student Experience: A Library Perspective.
CCMT Validation of Shock Tube Simulation Chanyoung Park, Raphael (Rafi) T. Haftka and Nam-Ho Kim Department of Mechanical & Aerospace Engineering, University.
Educational Programs Meridith Bruozas, Manager Educational Programs & Outreach Argonne National Laboratory Mississippi State University.
Educational Progress and Plans Ken Powell. Page 2 About Our Students Each UM and TAMU student has a home department Current students from –Atmospheric,
NASA’s New SOLAR System Helping students launch their future with NASA Student On-Line Application for Recruiting Interns, Fellows and Scholars A Component.
CRASH UQ Program: Overview & Results James Paul Holloway CRASH Annual Review Fall 2010.
All divisions have contributed to this growth but at different times ~75% increase.
Assessment of Predictive Capability James Paul Holloway CRASH Review Meeting October
Transport Physics and UQ Marvin L. Adams Texas A&M University CRASH Annual Review Ann Arbor, MI October 28-29, 2010.
Office of Science Office of Biological and Environmental Research J Michael Kuperberg, Ph.D. Dan Stover, Ph.D. Terrestrial Ecosystem Science AmeriFlux.
Grant Writing1 Grant Writing Lecture What are the major types of grants available in mental health research? What is the process of grant preparation and.
Program Review  Health Profession Advising  Key Communities  Orientation and Transition Programs  Outreach and Support  Undeclared Advising.
Ken Powell and Ryan McClarren CRASH Review, October 2010 CRASH Students and Courses.
Why Teach Science Using an Inquiry Approach? Dr. Carl J. Wenning Physics Department Illinois State University Normal, Illinois USA.
Introduction The Mechanical Engineering Department at WPI was established in 1868 and the first undergraduate degrees were awarded in The Department.
DEPARTMENT OF MATHEMATICS
Report of the 3D RT working group of IRC Alexander Marshak & Jean-Luc Widlowski IRC business meeting, 26 th July 2009, Montreal, Canada.
Academic Budget Presentation April 10, University Priorities Enrollment Growth  MSA (Metropolitan Statistical Area)  Dual Enrollment  New Graduate.
A Sample Poster — Landscape Layout Name of Team Members Mechanical Engineering Department Introduction The Mechanical Engineering Department at WPI was.
Outreach to Districts and Schools ?Is there a drop down menu with three items, or does it go to a page on outreach, or both?
Directors   Mark H. Holmes, Mathematics Chair   Robert L. Spilker, Biomedical Engineering Chair   Kenneth S. Manning, Links Technical Manager Rensselaer.
Australian Journal of Basic and Applied Sciences, 5(11): , 2011 ISSN Monte Carlo Optimization to Solve a Two-Dimensional Inverse Heat.
How the CRASH project has addressed the fall 2008 review recommendations Some detail here, with reference to more material in fall 2009 presentations.
PERMANAND MOHAN, PH.D. SENIOR LECTURER DEPARTMENT OF COMPUTING AND INFORMATION TECHNOLOGY THE UNIVERSITY OF THE WEST INDIES ST. AUGUSTINE TRINIDAD AND.
Equation-Free (EF) Uncertainty Quantification (UQ): Techniques and Applications Ioannis Kevrekidis and Yu Zou Princeton University September 2005.
Embracing Math Standards: Our Journey and Beyond 2008.
Princeton University Department of Chemical Engineering and PACM Equation-Free Uncertainty Quantification: An Application to Yeast Glycolytic Oscillations.
Interactive Excel Spreadsheets: A Visualization Tool for Mathematics and Science Scott A. Sinex Department of Physical Sciences and Engineering Prince.
Computational Seismology at LLNL: A National Lab Perspective Arthur Rodgers Atmospheric, Earth and Environmental Sciences Department Lawrence Livermore.
Laser Energy Transport and Deposition Package for CRASH Fall 2011 Review Ben Torralva.
National Science Foundation Bonnie H. Thompson Office of International Science and Engineering
Center for Radiative Shock Hydrodynamics Fall 2011 Review Assessment of predictive capability Derek Bingham 1.
An Adaptive-Stochastic Boussinesq Solver With Safety Critical Applications In Nuclear Reactor Engineering Andrew Hagues PhD Student – KNOO Work Package.
Math/Oceanography Research Problems Juan M. Restrepo Mathematics Department Physics Department University of Arizona.
Center for Radiative Shock Hydrodynamics Fall 2011 Review PDT and radiation transport Marvin L. Adams.
Report of the 3D RT working group of IRC Alexander Marshak (GSFC/NASA, USA) & Jean-Luc Widlowski (JRC, Italy) IRC business meeting, 22 th July 2010, Bremen,
Interactive Excel Spreadsheets: A Computational and Conceptual Learning Tool for Mathematics and Science Scott A. Sinex Department of Physical Sciences.
M.Sc. and Ph.D. in Computational Science Department of Mathematics Faculty of Science Chulalongkorn University.
Institute for Space Systems Analysis and Design College of Engineering Virginia Tech College of Engineering Virginia Tech Chris Hall Aerospace and Ocean.
Science Department Draft of Goals, Objectives and Concerns 2010.
Reservoir Uncertainty Assessment Using Machine Learning Techniques Authors: Jincong He Department of Energy Resources Engineering AbstractIntroduction.
Inflow uncertainty Airfoil model Pressure uncertainty Prof Doostan: Uncertainty Quantification (UQ) From data to model predictions Uncertainty bars on.
Advanced Optical Glasses for Novel Optical Fibers Kathleen Richardson, Clemenson University Research Goundation, DMR The international, multidisciplinary.
1 Defense Programs Predictive Science and Program Credibility: “Beyond M over U” July 2008 Njema Frazier, PhD Acting Deputy Director, Office of Advanced.
SCIENTIFIC DISCOVERY EXPERIMENT THEORY SCIENTIFIC COMPUTING 1.
A Hybrid Optimization Approach for Automated Parameter Estimation Problems Carlos A. Quintero 1 Miguel Argáez 1, Hector Klie 2, Leticia Velázquez 1 and.
Uncertainty quantification in generic Monte Carlo Simulation: a mathematical framework How to do it? Abstract: Uncertainty Quantification (UQ) is the capability.
Forging New, Non-Traditional Partnerships among Physicists, Teachers and Students Marjorie Bardeen, Fermilab quarknet.i2u2.org.
Orientation Thursday, October 20 Washington Elementary
Panel Discussion: Discussion on Trends in Multi-Physics Simulation
The new Peak job program
The Active Learning Catalysts Project
SRNL-L Rev. 1 DOE Packaging Certification Program Certification, Technical Support and Training Jeff England SRNL Packaging Technology.
NH EPSCoR: Workforce Development through Research Training for Undergraduates and Teachers Hale, Stephen, EOD NH EPSCoR and Research Associate, UNH Joan.
Melissa Jablonski, John Geaney
CAST Workshop 2006 Interactive Excel Spreadsheets: A Computational and Conceptual Learning Tool for Mathematics and Science Scott A. Sinex Department.
15. Topics not Covered.
Global Warming Problem
Computational Fluid Dynamics - Fall 2001
Lecture Objectives: Discuss HW3
Presentation transcript:

Students and Educational Programs Fall 2011 Review Krzysztof Fidkowski

About our students Each UM, TAMU, SFU student on the CRASH project has a home department Current students from o Atmospheric, Oceanic and Space Sciences (UM) o Aerospace Engineering (UM) o Applied Physics (UM) o Computer Science (UM, TAMU) o Mathematics (UM) o Statistics (UM, TAMU, SFU) o Nuclear Engineering (UM, TAMU) Many CRASH students are co-advised

Funding and lab connections 39 students total have been supported directly or indirectly by CRASH o CRASH center funds  11 students at > 40% CRASH support o CRASH fellowship cost-sharing funds  21 students at < 40% CRASH funds o Non-CRASH fellowship or RA funds Strong connections to NNSA labs o Three students visited labs in 2011  Stripling (SNL), Till (LLNL), Fein (SNL) o Seven visited in 2010 o Several possibilities for visits to the labs in 2012 o Ongoing effort to encourage this and make connections

Students participate in a variety of research projects UQ o Unsteady adjoints for sensitivity analysis and error estimation o Bayesian and traditional regression methods for analysis of data from high-dimensional computational experiments o Advanced Bayesian predictive modeling o Bayesian analysis of experimental uncertainties Modeling and Theory o Discontinous Galerkin methods for hydrodynamics o Coupling methods for rad-hydro o Radtran and turbulence effects in blast waves o Time discretization methods for radtran Experiments o Structure in radiative shock experiments o Reverse radiative shocks o Hydrodynamic shock experiments

We recruit and retain high-quality graduate students Recruitment o Primarily left to individual departments o CRASH offers fellowships, project stability, and a unifying application o Nature of work attracts US citizens Retention o 87% student retention rate over the last three years o Regular interaction at student meetings o Lab visits offer unique learning experience opportunities o Nearly all investigators have lab contacts to help with placement

Center-university relationships Impact of center on university o Funding for students o Staff hires o New collaborations amongst investigators o Visibility for university University’s commitment to the center o Facilities o Endorsement of new courses and the scientific computing PhD certificate o Student support via other projects or instruction opportunities

UM scientific computing PhD certificate Requirements: o At least 24 credits in home department o At least 9 credits of numerical methods o At least 9 credits in computer science/applications o At least one doctoral prelim question related to scientific computing Several CRASH students pursuing the predictive science track of this certificate

CRASH investigators have taught two new courses Predictive Science course at TAMU o First offered Fall 2009, 9 students o Taught by Ryan McClarren o Covered verification, validation, sensitivity analysis and UQ o Next offering is Winter 2012 Uncertainty Quantification course at UM o First offered Winter 2010, 24 students o Team-taught by James Holloway, Vijay Nair, Ken Powell o Focused on input/output modeling, screening and sensitivity analysis, UQ o Next offering in Fall 2012

Course projects illustrate breadth of interest in predictive science and UQ UM MARS/MART analysis of drag in a Mars Re-entry system Gaussian process modeling and Markov-Chain Monte Carlo for turbulence model calibration UQ analysis of a Fischer- Tropsch synthesis process Constructing and sampling a response surface for radiative heat transfer in a scramjet UQ in military ground vehicle blastworthiness simulations TAMU Polynomial chaos techniques to o Compute the uncertainty in dose for a radiation shielding calculation. o Predict max temperature / flux in coupled neutronics heat conduction simulation. Sensitivity to coupling schemes in multiphysics problems. Predict the spectral radius of a transport solve using a Kennedy-O’Hagan model

Concluding remarks The center has recruited an retained a large number of students, many of whom have spent time at labs Center-university relationships are strong Predictive Science (TAMU) and UQ (UM) courses will be offered for the second time soon