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Graduate Catalog | 2005-2007
College of Natural Sciences

Computer Sciences

to courses in C S Computer Sciences »

Master of Arts
Master of Science in Computer Sciences
Doctor of Philosophy

Facilities for Graduate Work

To provide the most advanced resources for teaching and research, the Department of Computer Sciences manages its own network and systems of more than one thousand hosts.

A staff of seventeen, under the direction of the department's associate chair for operations, specifies, buys, installs, and maintains this computing infrastructure. Through accounts on the department's UNIX, Windows, and Macintosh workstations, students, faculty members, and staff members have access to additional public laboratories and private research equipment.

Many different computer systems are available for research use by faculty members and students in the department. The department has several research clusters: an 8-node computational biology cluster, a 144-node Linux cluster dedicated to computer architecture, and a 144-node Linux cluster with a NetApps FAS940 checkpoint server. These clusters and all public computing resources are available to users via Condor, a resource management tool for widely distributed systems. The department has an immersive theater and video wall for graphics and visualization research. Over one hundred Pentium-based machines, including twenty dual processor Xeons as well as dual and quad processor servers, are available for multimedia research. In addition, there are seventy-five Linux boxes on graduate students' desks. Several hundred other workstations of varying configurations and platforms are located in private research labs or on researchers' desks.

All departmental computers are networked together using 100 Mbps or gig Ethernet. The network, managed and maintained by departmental staff, consists of over thirty Cisco switches, with a Cisco 6509 serving as its point of presence and firewall. Network servers include a research-dedicated NetApps 820 with three terabytes of storage, a NetApps F825 with six TB of RAIDed disk space that is used for home directory service, and a NetApps FAS940 with four TB of disk space, as well as many other file servers, print servers, and communication servers.

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Areas of Study

Graduate study in computer sciences is offered in the areas of analysis of algorithms and programs, artificial intelligence, automated reasoning, communication protocols, compilers, computational biology, computational complexity, computational geometry, computational historical linguistics, computational visualization, computer architecture, computer graphics, computer networks, data mining, database management, distributed systems, fault-tolerant computing, formal methods, machine learning, mathematical software, mobile and ad hoc networks, natural language processing, neural networks, numerical analysis, operating systems, parallel programming, randomized computation, real-time systems, robotics, secure computing, software construction from components, system modeling, theoretical computer science, VLSI, and wireless networks.

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Graduate Studies Committee

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

J. K. Aggarwal
Lorenzo Alvisi
Chandrajit L. Bajaj
Don S. Batory
Alan C. Bovik
Robert S. Boyer
James C. Browne
Douglas C. Burger
Alan K. Cline
William R. Cook
Michael D. Dahlin
Inderjit S. Dhillon
E. Allen Emerson II
Donald S. Fussell
Anna Gal
Vijay K. Garg
Joydeep Ghosh
Mohamed G. Gouda
Warren A. Hunt Jr.
Lizy K. John
Stephen W. Keckler
Adam R. Klivans
Benjamin Jack Kuipers
Simon S. Lam
Vladimir Lifschitz
Calvin Lin
Gerald Jack Lipovski
William Mark
Kathryn S. McKinley
Risto Miikkulainen
Daniel P. Miranker
Jayadev Misra
Aloysius K. Mok
Raymond J. Mooney
J Strother Moore
Gordon S. Novak Jr.
David Z. Pan
Dewayne E. Perry
Charles Gregory Plaxton
Bruce W. Porter
Lili Qiu
Vijaya Ramachandran
Vitaly Shmatikov
Peter H. Stone
Robert van de Geijn
Harrick M. Vin
Tandy Warnow
Andrew B. Whinston
Emmett Witchel
Yin Zhang
David Zuckerman
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Admission and Degree Requirements

Most entering graduate students have degrees in computer sciences. Students with degrees in other areas may be considered for admission; if admitted, they may be required to take undergraduate courses in computer sciences, without credit toward a graduate degree, to satisfy background requirements.

Before being admitted to candidacy for degrees in computer sciences, a student must obtain approval of an individual program of work from the Graduate Studies Committee. Students should consult the department for detailed degree requirements.

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For More Information

Campus address: T. U. Taylor Hall (TAY) 2.114, phone (512) 471-9503, fax (512) 471-7866; campus mail code: C0500

Mailing address: The University of Texas at Austin, Graduate Program, Department of Computer Sciences, 1 University Station C0500, Austin TX 78712



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Graduate Catalog | 2005-2007 Computer Sciences program | courses

Fields of Study

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