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19 August 1997
Degrees Offered
Master of Science in Computational and Applied Mathematics
Doctor of Philosophy
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, a fiber optic network of more than twenty IBM RS6000s, and many X terminals. Also available are a forty-four-node Cray T3E, a forty-five-node Intel Paragon, a thirty-two-node Cray J90, and an SGI Onyx administered by the High Performance Computing Facility. The Texas Institute for Computational and Applied Mathematics (TICAM) has a sixteen-node IBM SP/2 and an INTEL iPSC/860 parallel computer with sixteen processors. Shared and distributed parallel computers maintained by the Department of Computer Sciences are also available, as are workstations 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 Academic Computing and Instructional Technology Services described in chapter 1.
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.
Students entering the program are expected to have undergraduate degrees in engineering, computer sciences, mathematics, or a natural science such as physics or chemistry.
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 either thirty-three semester hours of approved coursework, including a research report, or thirty-six hours of approved coursework without a report. 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. With approval of the Graduate Studies Subcommittee, a student may substitute participating departmental qualifying requirements in one or more areas. 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.
Campus address: T. U. Taylor Hall (TAY) 2.400, Phone (512)
471-7386, Fax (512)
471-8694
Mailing address: Graduate Program in Computational and Applied Mathematics, The University of Texas at Austin, Austin, Texas 78712
URL: http://www.ticam.utexas.edu/cam/
Chapter Four
Graduate Catalog
Contents
Chapter 1: Graduate Study
Chapter 2: Admission and Registration
Chapter 3: Degree Requirements
Chapter 4: Fields of Study
Chapter 5: Members of Graduate Studies Committees
Appendix: Course Abbreviations
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