http://www.utdallas.edu/dept/cs/
Professors: Farokh Bastani,
R. Chandrasekaran, Ding-Zhu Du, Andr�s Farag�, Gopal Gupta, Dung T. Huynh, Dan Moldovan, Simeon C.
Ntafos, Balaji Raghavachari,
Hsing-Mean (Edwin) Sha,
Ivan H. Sudborough, Bhavani
Thuraisingham, Klaus Truemper
(Emeritus), , I-Ling Yen , Kang Zhang, Si Qing Zheng.
Associate Professors: Sergey Bereg, Lawrence
Chung, Jorge A. Cobb, Ovidiu Daescu,
Galigekere R. Dattatreya, Sanda Harabagiu, Vasileios Hatzivassiloglou ,
Jason Jue, Latifur Khan, Rym Mili, Ivor
P. Page, B. Prabhakaran, Ravi Prakash,
Haim Schweitzer, Subbarayan
Venkatesan, Yuke Wang, W.
Eric Wong
Assistant Professors: Joao Cangussu, Kendra
M.L. Cooper, Jing Dong, Xiaohu Guo,
Kevin Hamlen, Murat Kantarcioglu,
Yang Liu, Ying Liu, Vincent Ng, Neeraj Mittal, Kamil Sarac, Weili Wu
Senior Lecturers: Tim Farage, Herman Harrison,
Sam Karrah, Lawrence King, Greg Ozbirn,
Cort Steinhorst, Laurie
Thompson, Nancy Van Ness
The
Graduate Program in Computer Science provides intensive preparation in the
design, programming, theory, and applications of computers. The Department of
Computer Science offers courses of study leading to the M.S. in Computer
Science, the M.S. in Computer Science with Major in Software Engineering, Ph.D.
degree in Computer Science, and the PhD degree in Software Engineering.
Training is provided for both academically oriented students and students with
professional goals in the many business, industrial or
governmental occupations requiring advanced knowledge of computer theory and
technology. Courses and research are offered in a variety of subfields of
computer science, including operating systems, computer architecture, computer
graphics, pattern recognition, automata theory, combinatorics,
artificial intelligence, data & network security, natural language
processing, database design, computer networks, programming languages, software
systems, analysis of algorithms, computational complexity, software
engineering, software testing, software reliability, scheduling, visualization,
fault-tolerant computing, parallel processing, telecommunications networks,
telecommunications software, performance of systems, VLSI, computational
geometry, and design automation.
A
comprehensive program of evening courses is offered which enables part-time
students to earn the master�s degree or to select individual courses of
interest.
The
Department of Computer Science has a large number of PCs, Sun Workstations, and
several servers for research use. Laboratories are available for parallel
processing, distributed systems, software engineering, high-performance
computing, graphics, programming languages and systems, telecommunications, CAD
and graph visualization, image understanding and processing, artificial
intelligence, data mining, natural language processing, speech processing, and
web technologies. The Department of Computer Science has an Internet 2
connection and all major computers on campus are linked by an Ethernet network.
In
addition to the Computer Science faculty, there are individuals who are
involved in computer related work in many other areas of the university,
including the several physical and social sciences and in various areas of
business and management. Students majoring in computer science with interest in
these important application areas have the opportunity to consult and work with
talented faculty from a wide range of disciplines. The department actively participates
in a number of interdisciplinary degree programs which include MS and Ph.D. in
Computer Engineering, MS and Ph.D. in Telecommunications Engineering, and Ph.D.
in Geospatial Information Sciences.
The
University�s general admission requirements are discussed here.
The
student entering the Computer Science M.S. program should have an undergraduate
preparation equivalent to a baccalaureate in a quantitative science, including
calculus and linear algebra. However, special arrangements (requiring more than
the minimal number of hours) can be made for students with good undergraduate
preparation in other fields. Minimum requirements are:
�
Bachelor�s
degree which includes 2 semesters of calculus and 1 semester of linear algebra.
�
GPA
of at least 3.0 (last 60 hours). GPA in quantitative courses of at least 3.3.
�
GRE
scores of 500, 700 and 4 for the verbal, quantitative and analytical writing
components, respectively, are advisable based on our experience with student
success in the program.
Students
lacking undergraduate preparation in Computer Science must complete the courses
listed below. At the discretion of the graduate adviser, a diagnostic exam may
be required. The required prerequisite courses common to all Master�s students
are:
CS
5301 Advanced Professional and Technical Communication
CS 5303 Computer Science I
CS 5330 Computer Science II
CS 5333 Discrete Structures
CS 5343 Algorithm Analysis and Data Structures
CS 5348 Operating Systems Concepts
Substitution
of CS 5303, 5330 by professional experience will be considered. Additional
prerequisite courses required for the various degree plans are:
For the Traditional Computer Science and Bioinformatics Tracks:
CS
5349 Automata Theory
CS
5390 Computer Networks
For the Networks and Telecommunications Track:
CS
3341 Probability and Statistics
CS
5390 Computer Networks
For the Intelligent Systems Track:
CS
5349 Automata Theory
For the Major in Software Engineering:
CS/SE
5354 Software Engineering
The
University�s general degree requirements are discussed here.
The
student may choose a thesis plan or a non-thesis plan. The thesis plan requires
a minimum of 27 hours of courses, plus completion of an approved thesis (six
thesis hours). This thesis is directed by a supervising professor and must be
approved by the head of the Department of Computer Science. The non-thesis plan
also requires a minimum of 33 hours of courses.
By
a judicious planning of courses chosen from the computer science curriculum,
supervised and approved by the graduate adviser, students may pursue the M.S.
degree in Computer Science while emphasizing specific areas of the discipline.
Students may also choose to receive the M.S. degree in Computer Science with a
Major in Software Engineering. Because of the rapidly changing nature of the
computer science discipline, the specific courses required may change by the
time of the student�s admission. A listing of the required courses will be
specified by the student�s adviser. Specific degree requirements follow.
Students
are required to complete one of the following:
CS
6363 Design & Analysis of Computer Algorithms
CS 6378 Advanced Operating Systems
CS 6390 Advanced Computer Networks
Two
of the following three courses:
CS
6353 Compiler Construction
CS 6360 Database Design
CS 6371 Structure & Design of Programming Languages
CS
6352 Performance of Computer Systems and Networks
CS 6363 Design & Analysis of Computer Algorithms
CS 6378 Advanced Operating Systems
CS 6385 Algorithmic Aspects of Telecommunication Networks
CS 6390 Advanced Computer Networks
CS
6360 Database Design
CS 6363 Design & Analysis of Computer Algorithms
CS 6364 Artificial Intelligence
CS 6375 Machine Learning
CS 6378 Advanced Operating Systems
CS
6325 Introduction to Bioinformatics
CS 6363 Design & Analysis of Computer Algorithms
CS 6360 Database Design
Two
of the following four courses:
������ CS 6333 Algorithms in Computational
Biology
������ CS 6365 Data and Text Mining for
Computational Biology
������ CS 6383 Computational Systems
Biology
������ CS 6393 Advanced Algorithms in
Biology
Major in Software Engineering (M. S. C. S.)
CS/SE
6354 Advanced Software Engineering
CS/SE 6361 Requirements Engineering
CS/SE 6362 Software Architecture and Design
CS/SE 6367 Software Testing, Validation and Verification
CS/SE 6388 Software Project Planning and Management
Students
must satisfy the core requirements by either earning a 3.2 minimum grade point
average OR by earning a 3.0 minimum grade point average in the five core courses
and taking an extra approved elective (beyond the minimum degree requirements
of 33 hours) and earning a grade of B or better in this additional elective.
Five
[15 credit hours] 6000/7000/8000 level elective CS courses, or six hours of
thesis or project courses plus three elective courses [9 + 6 = 15 credit
hours], with approval of a graduate adviser; a minimum grade point average of
3.0 is required. Courses that are prerequisites to the student�s core
requirements are especially recommended. Approved electives must be taken to
make a minimum of 33 hours.
While
the Department of Computer Science offers both the Master of Science in
Computer Science and the Master of Science in Computer Science with Major in
Software Engineering degrees, students are not permitted to pursue both
degrees.
The
Department of Computer Science offers Ph.D. degrees in Computer Science and in
Software Engineering.
Each
degree program is tailored to the student. The student must arrange a course
program with the guidance and approval of a faculty member chosen as his/her
graduate adviser. Adjustments can be made as the student�s interests develop
and a specific dissertation topic is chosen.
The
University�s general admission requirements are discussed here.
A
student may be admitted under two possible options. The student must have:
�
A
Master�s degree in computer science or its equivalent, and
�
A
GPA of at least 3.5 and GRE of at least 1200 (verbal and quantitative) or 1800
(verbal, quantitative, and analytical) is advisable based on our experience
with student success in the program; or
�
A
B.S. in related area that includes two semesters of calculus and linear algebra
with
�
GPA
of at least 3.5 in the last 60 hours, and
�
A
GRE of at least 1300 (verbal and quantitative) is advisable based on our experience
with student success in the program.
The
University�s general degree requirements are discussed here.
The
core requirements for the Ph.D. degree in Computer Science are the same as the
ones for the M.S. in Computer Science or the M.S. in Computer Science with
Major in Software Engineering; the core requirements for the Ph.D. degree in
Software Engineering are the same as those for the M.S. in Computer Science
with Major in Software Engineering.
�
Pass
a qualifying examination.
o
Pass,
with a grade of B or better, courses chosen as follows:
CS
6382 Theory of Computation; in addition, students pursuing the Ph.D. degree in
Software Engineering should take CS/SE 6389 _ Formal Methods and Programming
Methodology.
o
Two
CS/SE 7000 and above level courses
�
Sufficient
CS electives for a total of at least 90 hours beyond the baccalaureate degree.
At least 9 hours of organized advanced Computer Science electives must be taken
at UT Dallas. The student is encouraged to consult with an adviser in choosing
electives.
A
dissertation is required and must be approved by the graduate program. A
student must arrange for a dissertation adviser willing to guide this
dissertation. The student must have a dissertation supervising committee that
consists of no less than four members of whom at least three must be from the
Computer Science faculty. The dissertation may be in computer science
exclusively or it may involve considerable work in an area of application.