|
|

University of Texas at Arlington
College of Engineering
Department of Computer Science and Engineering
Arlington, TX 76019
Overview
The University is located on a modern 347-acre campus in the center of the DallasFort Worth metropolitan area. The University was founded in 1895 as Arlington College, a small private liberal arts school. The college changed with the times and its surroundings, undergoing a succession of names and affiliations until 1967, when it became the University of Texas at Arlington (UTA). Currently, UTA is the fifth-largest institution of higher learning in the state of Texas. The College of Engineering consists of six departments, including Computer Science and Engineering.
The Community
Arlington has a population of more than 300,000 and is within a few minutes' driving time of either Dallas or Fort Worth. The metropolitan area offers a variety of cultural and recreational opportunities.
More than 20,000 students are enrolled at UT Arlington, with students coming from forty-five states and sixty-five countries. College of Engineering enrollment is estimated at 2,800, including approximately 430 undergraduates and 400 graduate students in computer science and engineering. The majority of graduate students are full-time, with about 80 of them receiving financial support from the department. Most of the part-time students are practicing computer scientists or engineers pursuing advanced degrees.
Programs of study and degree requirements
The Department of Computer Science and Engineering offers graduate programs leading to Master of Science, Master of Software Engineering (M.Sw.E.), and Doctor of Philosophy degrees. Studies may be pursued over a spectrum of areas covering computer architecture, database systems, distributed processing, fault-tolerant computing, image processing, intelligent systems, operating systems, parallel processing, real-time systems, software engineering, and telecommunications. The M.S. thesis option requires 31 semester hours, of which at least 24 hours must be in approved course work and 6 hours in thesis. The M.S. structured option requires 38 semester credit hours. The M.Sw.E. is a practice-oriented program requiring a minimum of 37 semester hours of course work that includes an 18-hour core, 6 hours of design studio courses, and the remainder in approved electives. The Ph.D. is a research-oriented degree that has no specific course or credit-hour requirements and usually takes three years of full-time study after the master's degree. A telecommunications engineering certificate is available for those holding the CS and CSE master's, including the EE/CS online distance learning program.
Facilities & Resources
The University operates a wide spectrum of computing systems, which include Sun, Compaq, and Silicon Graphics servers; Sun and Compaq workstations; and Macintosh and Windows personal computers. The department operates several UNIX, Linux, and Windows servers and clusters of UNIX workstations and personal computers. Most computers on campus are connected to a local area network and are accessible from both on and off campus. The department also operates laboratories supporting the design and development of microcomputer-based and/or special-purpose digital systems. The UTA Automation and Robotics Research Institute offers networks of workstations, robots, and other facilities for use by department students and faculty members with interests in robotics and automated manufacturing.
Expenses and Aid
Costs: For 200102, tuition and fees for a 12-semester-hour load were $1918 per semester for Texas residents and $4632 per semester for nonresidents. Half-time teaching or research assistants qualify for Texas resident rates. One-time fees (estimated) include a general property deposit of $10, a diploma fee of $15, a library fee of $48, a thesis or dissertation-binding fee of $12.50, and a thesis or dissertation-microfilming fee of $40 or $50. Tuition and fees are subject to change by legislative or administrative action.
Financial Aid: Teaching assistantships and research assistantships are available in limited numbers to qualified students. Unconditional admittance to the program is required for a student to be eligible for an assistantship. Assistant instructorships are sometimes available for qualified students in the final stages of a Ph.D. program. Part-time employment is often available for full-time students who are not receiving assistantships or other financial support from the University.
Housing/Living Expenses: University apartments are available at rates ranging from $305 to $587 per month. Dormitory rooms range from $1750 to $2020 for fall and spring semesters. Numerous private apartments are available. Rates are subject to change without notice.
How to Apply
Applications for admission to the program should be submitted to the Graduate School at least two months (U.S. students) or four months (international students) prior to the start of new student registration for the semester in which the student plans to enroll. Students seeking financial support should submit applications for admission and support by March 1 for fall and by October 1 for spring enrollment. Applications for financial support should be submitted to the CSE Department. General requirements for acceptance to the master's programs include a minimum combined quantitative and verbal GRE score of 1150, a minimum quantitative GRE score of 700, a minimum verbal GRE score of 400, and a minimum GPA of 3.2 out of 4.0. All international students must submit a TOEFL minimum score of 600. Students whose primary language is not English must have scored 250 or higher on the TSE-A or SPEAK in order to be eligible for a teaching assistantship. Access to online application is available on the World Wide Web at http://admissions.app.htm.
Who to Contact
For catalogs and application forms:
Graduate School
University of Texas at Arlington
P.O. Box 19088, UTA Station
Arlington, Texas 76019
Telephone: 817-272-2688
E-mail: graduate-school@uta.edu
World Wide Web: http://orgs.uta.edu
|
Graduate Advisor
Department of Computer Science and Engineering
University of Texas at Arlington
P.O. Box 19015, UTA Station
Arlington, Texas 76019
Telephone: 817-272-3785
E-mail: csegrad@cse.uta.edu
World Wide Web: http://www.cse.uta.edu |
THE FACULTY AND THEIR RESEARCH
- Jack E. Buffington, Research Professor; M.S.C.E., Georgia Tech; PE. Construction management, facility maintenance, rehabilitation, and replacement.
- Ishfaq Ahmad, Professor; Ph.D., Syracuse, 1992. Multimedia systems, video processing and compression/decompression parallel and distributed computing, high-performance computer architecture, operating systems and software environments for parallel processing.
- Alp Aslandogan, Assistant Professor; Ph.D., Illinois at Chicago, 2001. Multimedia databases, information retrieval, evidence combination techniques for multimedia content indexing, data mining and computer-assisted diagnosis, medical data mining, bioinformatics.
- Linda S. Barasch, Visiting Associate Professor; Ph.D., Oklahoma, 1988. Programming languages, compilers, database systems.
- Bill D. Carroll, Professor and Dean of Engineering; Ph.D., Texas at Austin, 1969. Fault-tolerant computing, computer architecture, distributed computing.
- Sharma Chakravarthy, Professor; Ph.D., Maryland, College Park, 1985. Database and information technology, distributed systems and information technology, networked database, advanced database applications.
- Diane J. Cook, Professor; Ph.D., Illinois at Urbana-Champaign, 1990. Machine learning, planning, parallel algorithms, robotics.
- Sajal K. Das, Professor; Ph.D., Central Florida, 1988. Wireless networks and mobile computing, communication networks and protocols, performance modeling and simulation.
- Ramez A. Elmasri, Professor; Ph.D., Stanford, 1980. Database, Web modeling/ontologies, temporal databases.
- Leonidas Fegaras, Assistant Professor; Ph.D., Massachusetts Amherst, 1993. Databases, programming languages.
- Lawrence B. Holder, Associate Professor; Ph.D., Illinois at Urbana-Champaign, 1991. Artificial intelligence, machine learning, distributed computing.
- Manfred Huber, Assistant Professor; Ph.D., Massachusetts Amherst, 2000. Robotics, machine learning.
- Farhad A. Kamangar, Associate Professor; Ph.D., Texas at Arlington, 1980. Artificial intelligence, computer graphics, digital signal/image processing, neural networks, time series analysis.
- Mohan Kumar, Associate Professor; Ph.D., Indian Institute of Science (Bangalore), 1992. Parallel and distributed computing, parallel architectures and algorithms, wireless networks and mobile computing.
- David C. Kung, Professor; Ph.D., Norwegian Institute of Technology, 1984. Object-oriented software testing, object-oriented real-time systems, modeling and verification.
- David E. Levine, Visiting Assistant Professor; M.S.C.S., Texas at Arlington, 1975. Software engineering, operating systems, computer networks.
- Junghwan Oh, Assistant Professor; Ph.D., Central Florida, 1998. Database, file structures, distributed computing.
- John Patterson, Associate Dean of Engineering; Ph.D., Texas at Austin, 1966. Digital systems, personal computers, computer manufacturing.
- Lynn L. Peterson, Professor and Associate Dean of Engineering; Ph.D., Texas Health Science Center at Dallas, 1978. Artificial intelligence, computer-based instructional systems, medical computer science.
- Arthur A. Reyes, Assistant Professor; Ph.D., California at Irvine, 1999. Software engineering, software specification and testing, avionics software.
- Behrooz Shirazi, Professor and Chairman; Ph.D., Oklahoma, 1985. Software development tools, parallel and distributed processing, task allocation and load balancing, distributed real-time systems, resource management in distributed systems.
- L. David Umbaugh, Senior Lecturer; Ph.D., Ohio State, 1983. Computer networks and data communications, systems, programming.
- Roger S. Walker, Professor; Ph.D., Texas at Austin, 1972. Real-time and embedded systems, signal processing, simulation and modeling.
- Bob P. Weems, Associate Professor and Associate Chair; Ph.D., Northwestern, 1984. Parallel algorithms, parallel processing, automated deduction, relational dependency theory.
- Ramesh Yerraballi, Assistant Professor; Ph.D., Old Dominion, 1996. Real-time systems, operating systems, mobile computer, multimedia systems.
Go To Profile Index Page
Go To Top Of Page
|