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.
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.
The following faculty members served on the Graduate Studies Committee in the spring semester 2000-2001.
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.
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
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26 July 2001. Registrar's Web Team
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