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Grad Catalog 01-03

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

 

    

Computer Sciences

Degrees Offered
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 installs and maintains its own systems. The department also works closely with Academic Computing to provide communication and network facilities for students and faculty members. Through accounts on the department's workstations, graduate students have access to public laboratories, private research equipment, and the Internet.

Many different computer systems are available for research by computer sciences faculty members and graduate students. Substantial facilities are devoted to research in distributed multimedia computing, parallel processing, fault tolerance, graphics, visualization, computer architecture, artificial intelligence, networking, and robotics. Research equipment encompasses more than two hundred computers and includes two 128-node clusters, many multiprocessor machines (SUN, IBM, SGI, PC), and a full range of single-processor platforms. Graduate offices have a PC or SUN machine on each desk.

The department maintains its own Cisco router, and all departmental computers are networked via Ethernet. There are numerous research subnets on both gigabit and 100-MbPS Ethernet, as well as several ATM subnets and one using Mynnet. Network servers provide NFS home directory, mail, news, Web, file, print, and communication services. The department continues to expand these computing facilities, both with University funds and through equipment donations from manufacturers.

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, 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, and VLSI.

Graduate Studies Committee

The following faculty members served on the Graduate Studies Committee in the spring semester 2000-2001.

J. K. Aggarwal
Lorenzo Alvisi
Annamaria B. Amenta
Chandrajit L. Bajaj
Don S. Batory
Robert Blumofe
Alan C. Bovik
Robert S. Boyer
James C. Browne
Douglas C. Burger
Alan K. Cline
Harvey G. Cragon
Michael D. Dahlin
Wayne A. Danielson
Inderjit S. Dhillon
Edsger W. Dijkstra
E. Allen Emerson II
Donald S. Fussell
Anna Gal
Vijay K. Garg
Joydeep Ghosh
Mohamed G. Gouda
Stephen W. Keckler
     George Kozmetsky
Benjamin Jack Kuipers
Simon S. Lam
Vladimir Lifschitz
Calvin Lin
Gerald Jack Lipovski
Risto Miikkulainen
Daniel P. Miranker
Jayadev Misra
Aloysius K. Mok
Raymond J. Mooney
J Strother Moore
Gordon S. Novak Jr.
Charles Gregory Plaxton
Bruce W. Porter
Vijaya Ramachandran
Robert van de Geijn
Harrick M. Vin
Tandy Warnow
Andrew B. Whinston
Paul R. Wilson
Martin D. F. Wong
David Zuckerman

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.

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: Graduate Program, Department of Computer Sciences, The University of Texas at Austin, Austin, Texas 78712-1122

E-mail: csadmis@cs.utexas.edu

URL: http://www.cs.utexas.edu/


Top of File     

Computer Sciences Courses: C S

      

 

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

Related Information
Catalogs
Course Schedules
Academic Calendars
Office of Admissions


Office of the Registrar
University of Texas at Austin

26 July 2001. Registrar's Web Team

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