The Department of Computational and Data Sciences Bob Weigel.

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Presentation transcript:

The Department of Computational and Data Sciences Bob Weigel

About Formed during re-organization of the School of Computational Sciences Approximately 100 graduate students New undergraduate program

Graduate Courses General core course requirements. 12 credits from the following: A. CSI 700 Numerical Methods B. CSI 701 Foundations of Computational Science C. CSI 702 High Performance Computing D. CSI 703 Scientific and Statistical Visualization E. CSI 710 Scientific Databases

Graduate Focus Areas Computational Fluid Dynamics Computational Learning Computational Materials and Chemical Sciences Computational Mathematics Computational Physics Computational Statistics Quantum Information Science Space Sciences and Computational Astrophysics Computational Remote Sensing

Undergraduate Courses CDS 101 Introduction to Computational and Data Sciences CDS 301 Scientific Information and Data Visualization CDS 302 Scientific Data and Databases CDS 401 Scientific Data Mining CDS 410 Modeling and Simulation I CDS 411 Modeling and Simulation II

Undergraduate Focus Areas Physics Chemistry Biology

Research Focus Areas

Modeling Chemical Weapon Releases

Launching the Space Shuttle

Flow past a submarine

Waves from an Armada of Ships

Blood Flow in the Brain

Galaxy Collisions

NCAR-related Magnetosphere –Ionospheric conductance influence on geomagnetic responsiveness –Radiation belt storm prediction Solar and beyond –Coronal Mass Ejection (CME) detection –Simulation of large-scale structure of heliosphere