Computational Science, Engineering, and Mathematics
Master of Science in Computational Science, Engineering, and Mathematics
Doctor of Philosophy
For More Information
Campus address: Peter O'Donnell Building (POB) 4.102A, phone (512) 232-3356, fax (512) 471-8694; campus mail code: C0200
Mailing address: The University of Texas at Austin, Graduate Program in Computational Science, Engineering, and Mathematics, 201 East 24th Street C0200, Austin TX 78712-1229
E-mail: camgrad@ices.utexas.edu
URL: http://www.ices.utexas.edu/graduate-studies/
Facilities for Graduate Work
Support facilities for work in computational science, engineering, and mathematics include the Kuehne Physics Mathematics Astronomy Library, the McKinney Engineering Library, the Mallet Chemistry Library, the Walter Geology Library, the Perry-Castañeda Library, and the Life Science Library. Extensive computing facilities are available, including a scientific visualization laboratory and an Ethernet network supporting more than 250 general-purpose Linux, SGI, IBM, and Apple workstations. Other computational resources include seven parallel supercomputers, each a Linux-based Beowulf cluster of 16 to 256 cores. Shared and distributed parallel computers maintained by the Department of Computer Sciences are also available, as are workstations in several academic departments in the Cockrell School of Engineering and the College of Natural Sciences. Faculty members and graduate students also have access to the resources of the Texas Advanced Computing Center (TACC).
Areas of Study
Graduate study in computational science, engineering, and mathematics comprises three areas: applicable mathematics, numerical analysis and scientific computation, and mathematical modeling and applications. Within these broad areas, the student may take courses and conduct research in numerical analysis and scientific computing, applicable mathematics, computational mechanics and physics, parallel computing and computer architecture, and mathematical modeling, and in supporting areas in engineering and science that involve mathematical modeling of physical phenomena and engineering systems.
Graduate Studies Committee
The following faculty members served on the Graduate Studies Committee in the spring semester 2013.
|
Aristotle Arapostathis Todd J Arbogast Ivo M Babuska Chandrajit L Bajaj Michael Baldea William Beckner George Biros James C Browne Luis A Caffarelli James R Chelikowsky Clinton N Dawson Mojdeh Delshad Alexander A Demkov Leszek F Demkowicz Inderjit S Dhillon Ron Elber Bjorn Engquist Sergey B Fomel Irene M Gamba Omar Ghattas Oscar Gonzalez John J Hasenbein Graeme A Henkelman Marc A Hesse Thomas J Hughes |
Loukas F Kallivokas Chad M Landis Dmitrii E Makarov Edward M Marcotte Mark E Mear Robert D Moser Peter Mueller J T Oden Dewayne E Perry Jonathan William Pillow Keshav K Pingali William H Press Serge M Prudhomme Venkatramanan Raman Kui Ren Gregory J Rodin F Rodriguez-Villegas Peter J Rossky Michael S Sacks Mrinal K Sen Yen-Hsi Tsai Robert A Van De Geijn Rachel A Ward Mary F Wheeler Ali E Yilmaz |
Admission Requirements
Students entering the program are expected to have an undergraduate degree in engineering, computer sciences, mathematics, or a natural science such as biology, physics, or chemistry.