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Graduate Catalog | 2005-2007
Intercollegial Programs

Computational and Applied Mathematics

to courses in CAM Computational and Applied Mathematics »

Master of Science in Computational and Applied Mathematics
Doctor of Philosophy

Facilities for Graduate Work

Support facilities for work in computational and applied mathematics include the Kuehne Physics Mathematics Astronomy Library, the McKinney Engineering Library, and the Mallet Chemistry Library. Extensive computing facilities are available, including a scientific visualization laboratory driven by a 24-processor SGI Onyx2 high-performance computer and switched 100/1,000 mbps Ethernet networks supporting more than 150 general-purpose Linux, SGI, IBM, and Macintosh workstations. Other computational resources include a 64-processor IBM Regatta system, a 40-processor IBM 1A-64 Itanium system, a 64-processor 1A-32 system, a 16-processor Cray SV1 Parallel Vector high-performance computer, 16- and 64-node Beowulf clusters, and a 4-processor SGI Origin 2000 terascale data archive server. Shared and distributed parallel computers maintained by the Department of Computer Sciences are also available, as are work-stations in several academic departments in the College of Engineering and the College of Natural Sciences. Faculty members and graduate students also have access to the resources of Information Technology Services described in chapter 1.

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Areas of Study

Graduate study in computational and applied mathematics comprises three areas: applicable mathematics, numerical analysis and scientific computations, 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.

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Graduate Studies Committee

The following faculty members served on the Graduate Studies Committee in the spring semester 2004-2005.

Orly Alter
Aristotle Arapostathis
Todd Arbogast
Ivo M. Babuska
Chandrajit L. Bajaj
Ross Baldick
Kenneth S. Ball
Eric B. Becker
William Beckner
Roger T. Bonnecaze
Alan C. Bovik
James C. Browne
Michael D. Bryant
Steven L. Bryant
Luis A. Caffarelli
Graham F. Carey
E. Ward Cheney
Alan K. Cline
James W. Daniel
Clint Dawson
Rafael de la Llave
Leszek F. Demkowicz
Inderjit S. Dhillon
Charles N. Friedman
Donald S. Fussell
Irene Martinez Gamba
Vijay K. Garg
John E. Gilbert
Oscar Gonzalez
Robin Gutell
John J. Hasenbein
Linda J. Hayes
Robert W. Heath Jr.
David M. Hillis
Rui Huang
Thomas J. R. Hughes
Loukas F. Kallivokas
Timothy H. Keitt
Hans Koch
Calvin Lin
John E. Luecke
Dmitrii E. Makarov
Edward M. Marcotte
Michael P. Marder
William Mark
Richard A. Matzner
Daene C. McKinney
Mark E. Mear
Lauren A. Meyers
Tessie J. Moon
Philip J. Morrison
J. Tinsley Oden
Dewayne E. Perry
Gregory J. Rodin
Ehud I. Ronn
Peter J. Rossky
Kamy Sepehrnoori
Paul R. Shapiro
Panagiotis E. Souganidis
Jack B. Swift
Harry L. Swinney
John L. Tassoulas
Stathis Tompaidis
Carlos Torres-Verdin
Jack S. Turner
Karen K. Uhlenbeck
Robert van de Geijn
Philip L. Varghese
Mikhail M. Vishik
Tandy Warnow
Mary F. Wheeler
Robert E. Wyatt
Jack X. Xin
Thaleia Zariphopoulou
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Admission Requirements

Students entering the program are expected to have undergraduate degrees in engineering, computer sciences, mathematics, or a natural science such as physics or chemistry.

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Degree Requirements

Each student develops a program of study that includes a substantial component in each of three areas of concentration: applicable mathematics, numerical analysis and scientific computation, and mathematical modeling for applications in a science or engineering discipline. The program must be reviewed and approved by the Graduate Studies Committee. Lists of courses in the three concentrations are available from the graduate adviser.

Master of Science in Computational and Applied Mathematics. This program requires completion of thirty semester hours of approved coursework, including a thesis; thirty-three semester hours of approved coursework, including a report; or thirty-six hours of approved coursework. At least twenty-four hours must be chosen from courses in the three concentration areas, with at least six hours from each area. These twenty-four hours of approved coursework must be taken on the letter-grade basis.

Doctor of Philosophy. Before admission to candidacy for the degree, each student develops a program of study that draws courses from each of the three areas of concentration; the program must be approved by the Graduate Studies Subcommittee. The student must also pass an examination in each area. In addition to meeting the area requirements, the student must prepare a written dissertation proposal. Oral presentation of the proposal and an oral examination are required.

A dissertation is required of every candidate, followed by a final oral examination covering the dissertation and the general field of the dissertation.

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For More Information

Campus address: Applied Computational and Engineering Science Building (ACE) 4.102A, phone (512) 471-7386, fax (512) 471-8694; campus mail code: C0200

Mailing address: The University of Texas at Austin, Graduate Program in Computational and Applied Mathematics, 1 University Station C0200, Austin TX 78712



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Graduate Catalog | 2005-2007 Computational and Applied Mathematics
program | courses

Fields of Study

    Office of the Registrar     University of Texas at Austin copyright 2005
    Official Publications 16 Aug 2005