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The Department of Computational and Data Sciences Bob Weigel

The Department of Computational and Data Sciences offers a range of graduate and undergraduate courses in computational sciences, with a focus on various areas including fluid dynamics, learning, materials and chemical sciences, mathematics, physics, statistics, quantum information science, and remote sensing. The department also conducts research in areas such as modeling chemical weapon releases, space shuttle launches, blood flow in the brain, galaxy collisions, and NCAR-related studies.

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The Department of Computational and Data Sciences Bob Weigel

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  1. The Department ofComputationaland Data SciencesBob 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

  14. 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

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