Program Details

By combining high-performance computing, mathematical modeling, scientific and engineering theory, and analysis of large scale data bases of observations, Computational Science and Engineering (CSE) promises to bring a new paradigm to interdisciplinary research and education. Computation is now regarded as an essential third component of the scientific method, complementing the traditional methods of theory and experiment, to advance scientific and engineering practice. Numerical simulation is sometimes the only feasible way to make progress if theory is intractable and experiments are too difficult, too expensive, too dangerous, or too slow. The importance of CSE has been documented in a recent series of comprehensive reports from the US DOE (Department of Energy) Office of Science and National Academy of Engineering in areas such as energy, climate modeling, astrophysics, national defense, information technology for health care, materials science, nanoscience and nanotechnology, engineering design, neurosciences and cognitive computing, plasma physics, transportation, bioinformatics and computational biology, earthquake engineering, geophysical modeling, and socio-economical-policy modeling.

This DE will educate doctoral students to effectively conduct computationally intensive research across many fields of science and engineering. It will make students aware of the breadth of research in CSE on campus and at LBNL, systematize graduate training, catalyze research collaboration, enhance the sense of intellectual community and give students a competitive edge for the most desirable jobs in academia and industry which increasingly require interdisciplinary training and computational skills.

For more information please refer to the approved DE-CSE proposal, linked below: