http://www.utdallas.edu/dept/cs/

 

Faculty

 

Professors: Farokh Bastani, R. Chandrasekaran, Ding-Zhu Du, András Faragó, Gopal Gupta, Dung T. Huynh, Jason Jue, Dan Moldovan, Simeon C. Ntafos, B. Prabhakaran, 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, Kendra M. L. Cooper, Lawrence Chung, Jorge A. Cobb, Ovidiu Daescu, Sanda Harabagiu, Vasileios Hatzivassiloglou , Latifur Khan, Rym Mili, Neeraj Mittal, Ivor P. Page, Ravi Prakash, Kamil Sarac, Haim Schweitzer, Subbarayan Venkatesan, Yuke Wang, W. Eric Wong, Weili Wu
Assistant Professors: Xiaohu Guo, Kevin Hamlen, Murat Kantarcioglu, Yang Liu, Vincent Ng
Senior Lecturers: Rekha Bhowmik, Tim Farage, Herman Harrison, Shyam Karrah, Feliks Kluzniak, Linda Morales, Miguel Razo-Razo, Greg Ozbirn, Cort Steinhorst, Laurie Thompson, Jey Veerasamy

 

Objectives

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.

 

Facilities

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.

Admission Requirements

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 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 Information Assurance Track:
             CS 5390 Computer Networks
For the Major in Software Engineering:
             CS/SE 5354 Software Engineering

 

Degree Requirements

 

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.

 

Core Requirements (15 hours)

 

Students are required to complete one of the following:

 

Traditional Computer Science Track

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

 

Networks and Telecommunications Track

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

 

Intelligent Systems Track

CS 6360 Database Design
CS 6363 Design & Analysis of Computer Algorithms
CS 6364 Artificial Intelligence
CS 6375 Machine Learning
CS 6378 Advanced Operating Systems

 

Bioinformatics Track

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

 

Information Assurance Track

CS 6363 Design & Analysis of Computer Algorithms
CS 6378 Advanced Operating Systems

Two of the following four courses:

CS 6324 Information Security
CS 6348 Data and Applications Security
CS 6349 Network Security
CS 6377 Introduction to Cryptography

 

One of the following three courses:

CS 6360 Database Design
CS 6371 Advanced Programming Languages
CS 6390 Advanced Computer Networks

Note: For the Information Assurance Track, three electives should be
approved IA elective courses. A course cannot be used to satisfy both
core and elective requirements.

Major in Software Engineering (M. S. C. S.)

CS/SE 6361 Requirements Engineering
CS/SE 6362 Software Architecture and Design
CS/SE 6367 Software Testing, Validation and Verification

CS/SE 6387 Advanced Software Engineering Project

One of the following four courses:

CS 6353 Compiler Construction
CS/SE 6360 Database Design
CS 6371 Advanced Programming Languages
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.

 

Electives (minimum of 18 hours)

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.

 

Doctor of Philosophy

 

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.

 

Admission Requirements

 

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.

 

Degree Requirements

 

The University´s general degree requirements are discussed here.

 

Core requirements:

 

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.

•                Pass CS 6382 Theory of Computation with a grade of B or better.

•                Two CS/SE 7000 and above level courses

•                Sufficient CS electives for a total of at least 75 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.

 

Dissertation

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.