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The University of Texas at Arlington
Vol LXXXVII - July 2004
Graduate Catalog 2004-2006
 
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     Note: This Catalog is superseded by the 2005-2006 Catalog.

Department of Computer Science and Engineering

department web page: www.cse.uta.edu/
department contact: info@cse.uta.edu
graduate web page: www.cse.uta.edu/graduate/
graduate contact: csegrad@cse.uta.edu

Chair

Fillia Makedon
320 Nedderman Hall
817.272.3605
makedon@cse.uta.edu

Admission | Continuation | Degree Requirements | Courses: CSE

Areas of Study and Degrees

Computer Science

M.S., Ph.D.

Computer Science and Engineering

M.S., Ph.D.

Software Engineering

M.SW.Engr.

Master's Degree Plans

Thesis (M.S.) and Non-thesis (M.S., M.SW.Engr.)

Graduate Advisors

Ramesh Yerraballi
341 Nedderman Hall, 817.272.3785
phd@cse.uta.edu

Mike O'Dell
342 Nedderman Hall, 817.272.3988
ms@cse.uta.edu

Bahram Khalili
343 Nedderman Hall, 817.272.5407
ms@cse.uta.edu

Graduate Faculty

Professors

Ahmad, Carroll, Chakravarthy, Cook, Das, Elmasri, Holder, Kamangar, Kung, Peterson, Shirazi, Walker

Associate Professors

Fegaras, Kumar, Weems

Assistant Professors

Aslandogan, Che, Chen, Gao, Huber, Lei, Liu, Oh, Stojanovic, Zaruba

Objective

The purpose of the graduate programs in Computer Science and Computer Science and Engineering is to facilitate the student's continued professional and scholarly development. The Master of Science (M.S.) programs are designed to extend the student's knowledge and emphasize a particular area of concentration. The Master of Software Engineering (M.SW.Engr.) program is designed to provide the student with the opportunity for professional development in the software engineering field. The Doctor of Philosophy (Ph.D.) programs are designed to prepare the student to conduct research and development in an area of concentration.

Typical areas of concentration include

  1. computer systems: parallel processing, quality-of-service and resource management in distributed systems, scheduling and load balancing for parallel and distributed systems, tools for parallel programming, performance evaluation, fault-tolerant computing, interconnection networks, multimedia systems, real-time systems, memory system design;
  2. intelligent systems: neural networks, machine learning, planning, scientific visualization, pattern recognition, natural language processing, multi-agent environments, decision support;
  3. software engineering: requirements engineering, incremental delivery, conceptual modeling, scenario-based techniques, formal specifications, object-oriented software engineering, design methodologies, software testing, software maintenance, software re-engineering, software processes, real-time systems;
  4. database: temporal databases, object-oriented databases, database models and languages, distributed database systems, indexing and hashing techniques, conceptual modeling, data security, logic and databases, query optimization, relational design theory, user interfaces, data repositories.
  5. communications: networks, wireless communication, distributed computing, mobile computing, multimedia systems.

Admission

The CSE graduate admission committee bases its decision for graduate admission on the following criteria (in no specific order):

  1. An overall GPA of 3.0 or higher in undergraduate coursework.
  2. A GPA of 3.2 or higher on CS/CSE related coursework in the last two years of undergraduate degree.
  3. Relevance of the student's degree (background) to the CSE curriculum.
  4. Rigor of the student's bachelor's degree. A four-year degree is considered more rigorous than a three-year degree.
  5. Reputation of the university/college that the student has received his/her previous degrees from.
  6. GRE General Test:
    1. GRE quantitative score of at least 700
    2. GRE verbal score of at least 400
    3. A sum of verbal and quantitative GRE scores (i.e. scores from parts 6a and 6b combined) of at least 1150 for MS and 1250 for Ph.D. applicants. An applicant can have a minimum score of 700 on the quantitative GRE or a minimum score of 400 on the verbal GRE, but not both. A passing score on the Fundamentals of Engineering (FE) exam is also given consideration.
  7. For Ph.D. students, the following are optional. Meeting these criteria will improve both a student's chances of securing admission and receiving financial support.
    1. Publication in scholarly conferences/journals.
    2. A percentile of 80 score or higher on the Computer Science subject GRE.

The above criteria are used as follows in relevance to the three possible admission decisions, i.e., Unconditional Status; Probationary Status; and Denied.

  1. Unconditional Status: Applies to an applicant who meets the first six criteria above to a degree satisfactory to the graduate admissions committee.
  2. Probationary Status: Applies to an applicant who meets the first six criteria above to a degree satisfactory to the graduate admissions committee but does not fulfill all the deficiency course requirements. It also applies to a student who is accepted with conditions placed on improving one or more of the first six criteria.
  3. Denied: Applies to an applicant who does not meet the first six criteria to a degree satisfactory to the graduate admissions committee. However, an applicant's performance on the GRE test will not be used as the sole criteria for denial.

Fellowships

The basis for granting a Fellowship to a student will be as follows:

Continuation

To fulfill its responsibility to graduate highly qualified professionals, the Department has established certain requirements that must be met by students continuing in the graduate programs. In addition to the requirements of the Graduate School listed elsewhere in the catalog, the Computer Science and Engineering Department has established additional requirements detailed in its Guide to Graduate Programs.

Degree Requirements

Master of Science in Computer Science - Thesis

The Master of Science in Computer Science degree program is designed to develop the scholarship and research skills of the student. Thirty-one credit hours, which include one orientation seminar credit and six thesis credits, are required.

Master of Science in Computer Science and Engineering - Thesis

The Master of Science in Computer Science and Engineering, which is intended for students with a baccalaureate degree in engineering, requires 31 credit hours of which one is orientation seminar and six are thesis credits, and is designed to develop the scholarship and research skills of the student.

Master of Science in Computer Science - Non Thesis

The Master of Science in Computer Science non-thesis options provide professional development in computer science. The structured option requires 37 credit hours of which one is orientation seminar.

Master of Science in Computer Science and Engineering

The Master of Science in Computer Science and Engineering non-thesis options are intended for students with an engineering baccalaureate degree. The structured option requires 37 credit hours of which one is orientation seminar.

Ph.D. (Computer Science)

The Ph.D. in Computer Science continues the development of the student's research capability. Coursework selection in each student's program is designed to support the dissertation area selected by the student.

A minimum of two semesters of full-time study is required during the dissertation phase. There is no foreign language requirement.

Ph.D. (Computer Science and Engineering)

The Ph.D. in Computer Science and Engineering is available to students with a prior degree in engineering. It contains essentially the same requirements as the Ph.D. (Computer Science) degree except that it permits interdisciplinary research between Computer Science and one or more of the various engineering disciplines.

Courses in Computer Science and Engineering (CSE)

* Denotes offered online as part of the CSE/EE Online degree program.

Course fee information is published in the online Student Schedule of Classes. Please refer to www.uta.edu/schedule for a detailed listing of specific course fees.

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