Computer Science
Master of Science in Computer Science
Doctor of Philosophy
For More Information
Campus address: Gates Dell Complex (GDC) 2.302, phone (512) 471-0481, fax (512) 471-8885; campus mail code: D9500
Mailing address: The University of Texas at Austin, Department of Computer Science, 2317 Speedway D9500, Austin, TX 78712
E-mail: csadmis@cs.utexas.edu
URL: http://www.cs.utexas.edu/
Facilities for Graduate Work
To provide the most advanced resources for teaching and research, the Department of Computer Science manages its own network and system of more than 1,000 hosts.
A staff of thirteen, 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 have access to public laboratories and private equipment.
Many different computer systems are available for research use by faculty members and students in the department. The department operates a general-purpose high-throughput computing (HTC) Linux cluster with over 2,000 cores, Dell PowerEdge checkpoint servers, 60 nVidia GPUs of various types, and a NetApp FAS3270 storage server with twenty-four terabytes. This cluster, as well as all public computing resources, are available to everyone via HTCondor, a resource management tool for widely distributed systems. There are several hundred Linux machines in public labs, and there are over 100 linux boxes on graduate 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 one or ten Gigabits per second Ethernet. The network, managed and maintained by staff, consists of over 100 Cisco switches, with a Cisco 6513 serving as its point of presence and firewall. Network servers include the research dedicated NetApp FAS3270 with twenty-six terabytes of storage and a NetApp FAS3270 with fifty terabytes of RAIDed disk that is used for home directory service, as well as many other file servers, print servers, and communications servers.
Areas of Study
Graduate study in computer science is offered in the following areas: analysis of algorithms; artificial intelligence; automated reasoning; communication protocols; compilers; computational biology; computational complexity; computational visualization; computer architecture; computer graphics; computer networks; cryptography; 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; programming language design and implementation; randomized algorithms; real-time systems; robotics; scientific computing; secure computing; software construction from components; system modeling; theoretical computer science; and wireless networks.
Graduate Studies Committee
The following faculty members served on the Graduate Studies Committee in the spring semester 2017.
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Scott J Aaronson Lorenzo Alvisi Chandrajit L Bajaj Dana H Ballard Don S Batory George Biros Alan C Bovik Constantine Caramanis Alan K Cline William R Cook Inderjit S Dhillon Isil Dillig Thomas W Dillig Georgios-Alex Dimakis Gregory C Durrett E Allen Emerson Katrin E Erk Donald S Fussell Anna Gal Joydeep Ghosh Milos Gligoric Mohamed G Gouda Kristen L Grauman Qixing Huang Warren A Hunt Jr Adam R Klivans Philipp Kraehenbuehl Simon S Lam |
Matthew A Lease Vladimir Lifschitz Calvin Lin Risto P Miikkulainen Daniel P Miranker Aloysius K Mok Raymond J Mooney Dana Hadar Moshkovitz Aaronson Scott David Niekum Gordon S Novak Jr Simon Peter Keshav K Pingali C Greg Plaxton Bruce W Porter William H Press Eric Price Lili Qiu Vijaya Ramachandran Christopher J Rossbach James G Scott Peter H Stone Robert A Van De Geijn Vijaychidambaram Velayudhan Pillai Paul E Vouga Brent R Waters Andrew B Whinston Emmett Witchel David I Zuckerman |
Admission Requirements
Most entering graduate students have degrees in computer science. Students with degrees in other areas may be considered for admission; if admitted, they may be required to take undergraduate courses in computer science, without credit toward a graduate degree, to satisfy background requirements.