Main Departmental Office
UNT Research Park, F201
P.O. Box 311366
Denton, TX 76203-1366
(940) 565-2767
Web site: www.cse.unt.edu
Graduate Faculty: Akl, Barrett, Brazile, Dantu, Deng, Escobar-Molano, Garcia, Huang, Irby, Jacob, Kavi, Mihalcea, Mikler, Mohanty, Parberry, Renka, Shahrokhi, Sweany, Swigger, Tarau, Tate.
The Department of Computer Science and Engineering offers graduate programs leading to the following degrees:
Information regarding these degree programs, including admission requirements and degree requirements, can be obtained from the department’s web site.
The objective of the master’s degree is to produce professional computer scientists capable of contributing technically to the basic core areas of computer science and computer engineering as well as to application areas. The objective of the doctoral degree is to produce professionals capable of conducting and directing research within the discipline of computer science.
The department is committed to overall excellence in graduate education. Consequently, the programs of study for these degrees include a mixture of course, laboratory and research work designed to place graduates at the forefront of technical excellence.
The department also supports an interdisciplinary doctorate with a major in information science. See the School of Library and Information Sciences section of this catalog for more information.
The Department of Computer Science and Engineering has a comprehensive research program. Current faculty research interests include artificial intelligence, data and knowledge bases, computer systems architecture, computer graphics and visualization, logic programming, mathematical software, wired and wireless networking, computer security, neural computing, operating systems, parallel and distributed computing, scientific computing, pattern recognition and robotics, programming languages, natural language processing, theory of algorithms and VLSI.
The Network Security Laboratory was established to increase general wireline and wireless security awareness of computer science and engineering graduates, to produce skilled security specialists, and to conduct research and development activities to advance the state-of-the-art in wireline and wireless security and communication.
The Computer Privacy and Security Laboratory (CoPS) conducts research on improving privacy and security of computer systems.
The Computer Systems Research Laboratory investigates multithreaded architectures, compiler optimizations, memory systems, intelligent memory devices and real-time and embedded processing. The resources available to this research include Compaq (DEC) Alpha Servers, Sun Workstations, a four-node SUN SMP server, a tera-byte storage system and several PC based Linux and Window systems.
Intelligent Distributed Software Systems provides the software and hardware infrastructure for research and graduate teaching in new and exciting areas such as intelligent mobile agents, distributed artificial intelligence and Internet programming.
The Laboratory for Recreational Computing (LARC) serves as a center for research, education and development in the field of computer game programming.
The Geometric Computing Laboratory conducts research to improve the effectiveness and efficiency of geometric algorithms.
The Language and Information Technologies Laboratory researches various aspects of natural language processing and computational linguistics, including text understanding, machine translation, information retrieval and speech technologies.
The Network Research Laboratory conducts research in high-speed networking techniques and applications.
The VLSI Design and CAD Laboratory (VDCL) carries out research in low power design and CAD for nano-scale VLSI circuits.
The Computational Epidemiology Research Laboratory (CERL) applies computational science paradigms to the domain of public health, thereby providing tools for epidemiologists and public health researchers.
Wireless Sensor Laboratory (WiSL) was established with the following mission: to increase general wireless communications awareness among computer science and engineering graduates, produce skilled wireless specialists, and conduct research and development activities to advance the state-of-the-art in wireless sensors.
Faculty research has been supported through grants from federal and state institutions and private industry including the National Science Foundation, Texas Department of Transportation, Texas Higher Education Coordinating Board, Oak Ridge National Laboratory, Google and Microsoft. The department enjoys a friendly working relationship with local and national companies. The department’s Advisory Council is composed of representatives from government agencies and high-tech firms. During the past few years they have helped obtain research funding, fellowships and internships for students in the department.
The department offers graduate programs leading to the following degrees:
Information regarding these degree programs, including admission requirements and degree requirements, can be obtained from the department’s web site.
Admission to graduate degree programs in computer science and computer engineering is competitive. Applications, complete with transcripts, GRE scores (UNT computer science and engineering graduates are exempt.) and TOEFL scores, must reach the computer science and engineering department by the following dates to be considered for the term/semester indicated.
October 1 — spring term/semester
March 1 — summer term
March 1 — fall term/semester
Note that fall applications must be received by March 1 in order to be considered for an assistantship. Students must submit a completed application for assistantship by the above deadline to be considered for financial assistance. Applications are available on the department’s web site.
The department offers the Master of Science with a major in computer engineering.
1. Graduates will exhibit skills needed to pursue doctoral-level work as well as research careers in industry and academia.
2. Graduates will possess a strong background in the breadth of computer engineering, as evidenced by a good balance between software and hardware skills, including software development, design of digital systems, microprocessors, embedded systems, real-time systems and digital communication networks.
3. Graduates will demonstrate a strong, in-depth knowledge in one of the department’s specialty areas: VLSI, real-time systems, computer systems and communication networks.
4. Graduates will exhibit excellent communication skills, both oral and written, that will assist them in achieving their career goals.
5. Graduates will be highly recruited in a competitive market and make valuable contributions to a wide variety of industries, particularly in computer and information technology.
6. Graduates will pursue life-long learning and continued professional development.
7. Graduates will demonstrate high levels of professional responsibility and ethical behavior.
8. Graduates will undertake leadership roles in their profession, in their communities and in the global society.
Admission requirements for the MS with a major in computer engineering will be the same as the requirements for the MS with a major in computer science (see below).
After removal of all deficiencies and upon completion of all the leveling courses (as described below), the student is required to submit a formal degree plan to his or her adviser and the Dean of the School of Graduate Studies. Failure to fulfill this requirement may prevent the student from enrolling the following term/semester. Admission to candidacy is granted by the Dean of the School of Graduate Studies after the degree plan has been approved.
All entering students must demonstrate knowledge of the material covered in these courses. An entering student may demonstrate knowledge of the material by:
A student may be required to successfully pass a placement exam to demonstrate their knowledge of the material.
Option A: Thesis Option (25 hours of organized course work which includes CSCE 5020 plus 6 hours of thesis). Leveling courses cannot be counted towards these 25 hours.
Option B: Course Option (37 hours of organized course work which includes CSCE 5020 and may include 3 hours of project). Leveling courses cannot be counted towards these 37 hours.
The department offers the Master of Science with a major in computer science.
The student must satisfy all the general admission requirements of the Toulouse School of Graduate Studies as well as the following admission requirements of the computer science and engineering department:
1. an acceptable score on the Graduate Record Examination (GRE); contact the department or the Toulouse School of Graduate Studies for information concerning acceptable admission test scores;
2. for applicants whose native language is not English, a TOEFL score of at least 580 for the written test or 237 for the computer test also is required;
3. a GPA of at least 3.0 on the most recent 60 hours of course work;
4. completion of a sufficient amount of prior work in the field of computer science, including courses equivalent to CSCE 2610, 3110, and 3600; some undergraduate leveling sequences are available; and
5. at least 15 hours of mathematics, including differential and integral calculus, discrete mathematics and two other courses selected from statistics, linear algebra, abstract algebra, logic, numerical analysis and differential equations.
An overall evaluation of the student’s credentials is used as a basis for admission. Students with an insufficient computer science background may be provisionally admitted to the program and may enroll in graduate-level courses once any required leveling courses are completed with a grade of B or better. Admission is competitive, and satisfaction of the minimum requirements does not guarantee admission.
After removal of all deficiencies and upon completion of an additional 12 hours of graduate credit, the student is required to submit a formal degree plan to his or her adviser and the dean of the School of Graduate Studies. Failure to fulfill this requirement may prevent the student from enrolling the following term/semester.
Admission to candidacy is granted by the dean of the School of Graduate Studies after the degree plan has been approved.
The computer science and engineering department offers two master’s degree options:
Option A: Thesis Option (25 hours of organized course work which includes CSCE 5020 plus 6 hours of thesis).
Leveling courses cannot be counted toward the 25 hours.
Option B: Course Option (37 hours of organized course work which includes CSCE 5020 and may include 3 hours of project/6 hours of Problem in Lieu of Thesis). Leveling courses cannot be counted toward the 37 hours.
As an introduction to the department and to research in computer science and engineering, all master’s students must take CSCE 5020, Current Research in Computer Science and Engineering, during the first semester they are enrolled in graduate classes.
The Master of Science with a major in computer science includes 9 hours of the following required courses:
For Option A, the remaining courses are selected in consultation with the student’s thesis adviser.
For Option B, the remaining courses are selected in consultation with the graduate coordinator.
From 6 to 12 hours of graduate work in a minor field of computer science application are required. With prior approval of the graduate coordinator, this work may be done outside the computer science and engineering department.
If a student’s GPA on all graduate and/or deficiency courses falls below 3.0, the student will be placed on probation the following term/semester. Students who cannot raise their GPA above 3.0 during that term/semester will be dropped from the program.
A graduate minor in computer science requires 9 to 12 hours of graduate credit. CSCE 5011-5013 are service courses designed for students who are not computer science majors. Since these are introductory courses, only one of these courses is allowed in the 9-hour minor option, and no more than two of these courses may be included in the 12-hour minor option.
The program of study for the doctoral degree with a major in computer science includes formal course work, independent study and research. The purpose of the degree is to produce a professional capable of directing and conducting research within the discipline of computer science.
Students seeking admission to the doctoral program must meet all general requirements for doctoral candidates at UNT and must have completed all of the requirements (or equivalent work) for the master’s degree as defined in the previous section. Additional requirements are delineated below:
1. an acceptable score on the Graduate Record Examination (GRE); contact the department or the Toulouse School of Graduate Studies for information concerning acceptable admission test scores;
2. a 3.5 GPA on the most recent 30 hours of course work;
3. for applicants whose native language is not English, a TOEFL score of at least 580 for the written test or 237 for the computer test is required; and
4. three letters of recommendation.
An overall evaluation of the student’s credentials is used as a basis for admission. Admission is competitive, and satisfaction of the minimum requirements does not guarantee admission.
In addition to satisfying the general requirements for all UNT doctoral degrees, a student must satisfactorily complete the following:
1. a minimum of 12 hours of 6000-level organized courses in computer science;
2. the residence requirement, consisting of two consecutive terms/semesters of enrollment in at least 9 semester hours;
3. satisfactory completion of a written comprehensive examination prior to submitting a proposal for dissertation research; and
4. submission and successful defense of the doctoral dissertation.
More detailed information on degree requirements is available upon request from the Department of Computer Science and Engineering.
Consult the graduate adviser, Department of Computer Science and Engineering, for requirements.
All Courses of Instruction are located in one section at the back of this catalog.
The “Course and Subject Guide,” found in the Courses of Instruction section of this book, serves as a table of contents and provides quick access to subject areas and prefixes.
Date of initial release: July 1, 2006 — Copyright © 2006 University of North Texas
Page updated:
July 14, 2006
— Comments or corrections: catalog@unt.edu
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