http://www.utdallas.edu/dept/cs/
Professors: Farokh Bastani, Ramaswamy 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), Kang Zhang, Si Qing Zheng��
Associate Professors: Sergei Bereg, Lawrence Chung, Jorge A. Cobb, Galigekere
R. Dattatreya, Sanda Harabagiu, Vasileios Hatzivassiloglou , Jason Jue, Rym Mili, Ivor
P. Page, B. Prabhakaran, Ravi Prakash, Haim Schweitzer, Subbarayan Venkatesan, Yuke- Wang, W. Eric
Wong, I-Ling Yen
Assistant Professors: Joao Cangussu, Kendra M.L. Cooper, Ovidiu
Daescu, Jing Dong, Murat Kantarcioglu, Latifur Khan, Yang
Liu, Ying Liu, Vincent Ng, Neeraj Mittal,
Kamil Sarac, R.N. Uma, Weili Wu, Youtao Zhang
Senior Lecturers: Tim Farage, Herman Harrison, Sam Karrah,
Lawrence King, Radha Krishnan, Rafael Lacambra, Greg Ozbirn, David
Russo, Martha Sanchez, Cort Steinhorst,
Anthony Sullivan, 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, 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:
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 Track:
������������ 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/SE 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/SE 6360 Database
Design
CS 6363 Design & Analysis of Computer Algorithms
CS 6364 Artificial Intelligence
CS 6375 Machine Learning
CS 6378 Advanced Operating Systems
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.
Full-time students
with strong Computer Science background and contemplating a career in research
may choose to be considered for a limited number of openings in the Research
Track for the Master of Science degree. Students can enter the Research Track
only in the Fall semester. All students admitted
together in the Research Track are required to take their core courses
together. While not required, it is expected that most students in the Research
Track will continue on to the Ph.D. degree.
The admission
requirements for the Research Track are:
Students admitted to
the Research Track are expected to have strong Computer Science background that
includes the following courses (or equivalents):
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
CS 5349 Automata Theory
CS/SE 5354 Software Engineering
CS 5390 Computer Networks
CS 5301 Advanced Professional and Technical Communication is also a required
prerequisite but it may be taken after admission.
CS/SE 6354 Advanced Software Engineering
CS/SE 6362 Software Architecture and Design
CS 6363 Design & Analysis of Computer Algorithms
CS 6378 Advanced Operating Systems***
CS 6390 Advanced Computer Networks***
Students in the
Research Track will have to complete six 6000 and above level elective CS, SE
courses that include at least one 7000 level course and six hours of Master�s
thesis [18 credit hours]. A minimum grade point average of 3.0 is required.
Students in the
Research Track are encouraged to take PhD qualifying exams in the core classes
during the first year. Students that make satisfactory progress will be
admitted to the PhD degree programs in Computer Science or Software Engineering
after their first year. Such students will receive the M.S. degree in Computer
Science or the M.S. degree in Computer Science with Major in Software
Engineering upon approval of their dissertation proposal and completion of the
required hours for the MS degree (i.e., the dissertation proposal and 6 hours
of coursework will replace the MS Thesis requirement).
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:
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.
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.