1. The Department of Computational and Data Sciences Bob Weigel

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

3. 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

4. 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

5. 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

6. Undergraduate Focus Areas Physics Chemistry Biology

7. Research Focus Areas

8. Modeling Chemical Weapon Releases

9. Launching the Space Shuttle

10. Flow past a submarine

11. Waves from an Armada of Ships

12. Blood Flow in the Brain

13. Galaxy Collisions

18. 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