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Graduate Catalog

Computer Science (B.S.)


Professors: Farokh Bastani, Ramaswamy Chandrasekaran, András Faragó, Gopal Gupta, Dung T. Huynh, Dan Moldovan, Simeon C. Ntafos, Balaji Raghavachari, Hsing-Mean (Edwin) Sha, Ivan H. Sudborough, Ioannis G. Tollis, Klaus Truemper, Si-Qing Zheng
Associate Professors: Sergei Bespamyatnikh, Lawrence Chung, Galigekere R. Dattatreya, Sanda Harabagiu, Rym Mili, Ivor P. Page, Ravi Prakash, Haim Schweitzer, Subbarayan Venkatesan, Yuke Wang, W. Eric Wong, I-Ling Yen, Kang Zhang
Assistant Professors: Joao Cangussu, Jorge A. Cobb, Kendra M.L. Cooper, Ovidiu Daescu, Jing Dong, Jason Jue, Latifur Khan, Neeraj Mittal, B. Prabhakaran, Kamil Sarac, R.N. Uma, Weili Wu, Youtao Zhang
Senior Lecturers: Douglas Benn, Tim Farage, Herman Harrison, Sam Karrah, Lawrence King, Radha Krishnan, Rafael Lacambra, Joseph Leubitz, Greg Osbirn, David Russo, Veli Sahin, Martha Sanchez, Nerandra Sheth, Cort Steinhorst, Anthony Sullivan, Laurie Thompson, Nancy Van Ness, Wei Wei

The Computer Science Department offers the B.S. degree in Computer Science and the B.S. degree in Software Engineering. Both are based on a solid foundation of mathematics, including calculus, linear algebra, and discrete mathematics. These programs of study are designed to offer students opportunities to prepare for an industrial, business, or governmental career in a rapidly changing profession and to prepare for graduate study in a field in which further education is strongly recommended. The two programs have the same basis in core computer science, including the analysis of algorithms and data structures, modern programming methodologies, and the study of operating systems. The Computer Science program continues with courses in advanced data structures, programming languages, telecommunications networks, and automata theory, while the Software Engineering program include courses in requirements engineering, software validation and testing, and software architecture, culminating in a challenging project course in which students must demonstrate use of software engineering techniques. Both programs offer a rich choice of elective studies, including courses in artificial intelligence, computer graphics, databases, and compiler design.

The school offers a "fast track" B.S./M.S. option; see Fast Track Baccalaureate/Master's Degree Program.

Mission of the Department of Computer Science

The mission of the Department of Computer Science is to prepare undergraduate and graduate students for productive careers in industry, academia, and government by providing an outstanding environment for teaching, learning, and research in the theory and applications of computing. The Department places high priority on establishing and maintaining innovative research programs to enhance its education quality and make it an important regional, national, and international resource center for discovering, integrating, and applying new knowledge and technologies.

Goals for Undergraduate Program

The undergraduate Computer Science program is committed to provide students with a high-quality education and prepare them for long and successful careers in industry and government.

Our graduates, while eminently ready for immediate employment, will also be fully ready for focused training as required for specific positions in Computer Science and closely related areas. Graduates interested in highly technical careers, research, and/or academia will be fully prepared to further their education in graduate school.

Educational Objective for Undergraduate Program

On completion of the BS program, students will:

  1. have a comprehensive general education background;
  2. have solid knowledge in fundamental areas of Computer Science;
  3. have the ability to apply their knowledge to the solution of practical and useful problems;
  4. have the ability to communicate effectively and work collaboratively;
  5. become successful professionals and, if they desire, be able to pursue graduate study;
  6. recognize the need for lifelong learning and have the knowledge and skills that prepare them to adapt to rapid technological changes; and
  7. understand the ethical, societal, and global issues associated with the computing field.

Bachelor of Science in Computer Science
Degree Requirements (121 hours)

I. Core Curriculum Requirements1: 42 hours
    A. Communication (6 hours)
        3 hours Communication (RHET 1302)
        3 hours Professional and Technical Communication (ECS 3390) 2
    B. Social and Behavioral Sciences (15 hours)
        6 hours Government (GOVT 2301 and 2302)
        6 hours American History
        3 hours Social and Behavioral Science (ISSS 3360)
    C. Humanities and Fine Arts (6 hours)
        3 hours Fine Arts (ARTS 1301)
        3 hours Humanities (HUMA 1301)
    D. Mathematics and Quantitative Reasoning (6 hours)
        6 hours Calculus (MATH 2417 and 2419)3
    E. Science (9 hours)
        6 hours Lecture courses (PHYS 2325 and 2326) 4
        2 hours Laboratory courses (PHYS 2125 and 2126) 4
        4 hours Science Elective4

1 Curriculum Requirements can be fulfilled by other approved courses from accredited institutions of higher education. The courses listed in parentheses are recommended as the most efficient way to satisfy both Core Curriculum and Major Requirements at U.T. Dallas.

II. Major Requirements: 58 hours
    Major Preparatory Courses (22 hours beyond Core Curriculum)
        CS 1337 Computer Science I
        CS 2110 Introduction to Digital Systems Laboratory
        CS 2305 Discrete Mathematics for Computing I
        CS 2310 Introduction to Digital Systems
        CS 2336 Computer Science II
        MATH 2417 Calculus I3
        MATH 2418 Linear Algebra
        MATH 2419 Calculus II3
        PHYS 2125 Physics Laboratory I4
        PHYS 2126 Physics Laboratory II4
        PHYS 2325 Mechanics and Heat4
        PHYS 2326 Electromagnetism and Waves4
        4 hours Science Elective4
    Major Core Courses (27 hours beyond Core Curriculum)
        CS 3305 Discrete Mathematics for Computing II
        CS/SE 3341 Probability and Statistics in Computer Science
        CS/SE 3345 Algorithm Analysis and Data Structures
        CS/SE 3354 Software Engineering
        CS 4337 Organization of Programming Languages
        CS/SE 4340 Computer Architecture
        CS/SE 4348 Operating Systems Concepts
        CS 4349 Advanced Data Structures and Algorithms
        CS 4384 Automata Theory
        ECS 3390 Professional and Technical Communication2
    Major Guided Electives (9 hours)
        CS guided electives are 4000 level CS courses approved by the student’s CS advisor. The
        following courses may be used as guided electives without the explicit approval of an
            CGS 4314 Intelligent Systems Analysis
            CGS 4315 Intelligent Systems Design
            CGS 4352 Human Computer Interaction I
            CGS 4353 Human Computer Interaction II
            CS 4334 Numerical Analysis
            CS 4336 Advanced Java Programming
            CS/SE 4347 Database Systems
            CS 4361 Computer Graphics
            CS 4365 Artificial Intelligence
            CS/SE 4376 Object-Oriented Programming Systems
            CS 4380 Senior Design Project
            CS 4386 Compiler Design
            CS/TE 4390 Computer Networks
            CS 4391 Introduction to Computer Vision
            CS 4392 Computer Animation
            CS 4393 Computer and Network Security
            CS 4394 Implementation of Modern Operating Systems
            CS 4396 Networking Laboratory
            CS 4397 Embedded Computer Systems
            CS/SE 4399 Senior Honors in Computer Science/Software Engineering
            EE 4325 Introduction to VLSI Design
            EE 4420 Microprocessor Systems Design
            SE 4351 Requirements Engineering
            SE 4352 Software Architecture and Design
            SE 4367 Software Testing, Verification, Validation and Quality Assurance
            SE 4381 Software Project Planning and Management
            SE 4485 Software Engineering Project

2 Hours fulfill the communication elective of the Core Curriculum.
3 Six hours of Calculus are counted under Mathematics Core, and two hours of Calculus are counted as Major Preparatory Courses.
4 Nine hours of Science are counted under Science Core. Three hours are counted under Major Preparatory Courses.

III. Elective Requirements: 21 hours
    Advanced Electives (6 hours)
        All students are required to take at least six hours of advanced electives outside their major
        field of study. These must be either upper-division classes or lower-division classes that
        have prerequisites.
    Free Electives (15 hours)
        All students must accumulate at least 120 hours of university credit to graduate. Both lower-
        and upper-division courses may count as free electives but students must complete at least
        51 hours of upper-division credit to qualify for graduation. Not all courses offered by the
        University can be used as a free elective. Please consult with your advisor.

At least 9 hours of electives (out of the 21 hours required) must be outside Science and Engineering.

Fast Track Baccalaureate/Master’s Degrees

In response to the need for post-baccalaureate education in the exciting field of computer science, a Fast Track program is available to exceptionally well-qualified students who choose their courses carefully. At the end of five years of successful study, it is possible to earn both the B.S. and the M.S. degrees in Computer Science (or M.S. in Computer Science with Major in Software Engineering). Being within 30 hours of graduation, a student admitted to the graduate program and accepted into the Fast Track program may, during the senior year, take 15 graduate hours that may be used to complete the baccalaureate degree and also to satisfy requirements for the master's degree.

Interested students should see the Associate Dean of Undergraduate Education (ADU) for specific admission requirements to the Fast Track program.

Course of Study for Non-CS Majors

In recognition of the increased importance of Computer Science principles and skills in today's technology-driven market place, U.T. Dallas offers a number of Computer Science courses that, with proper preparation, can be taken by non-CS majors. An appropriate selection of the following courses, taken in an order satisfying course prerequisites, can significantly enhance the professional skills of the non-CS major: CS 1337, CS 1336/1136, CS 2305, CS 2336, CS 3333, CS 3335, CS 3341, CS 3354, CS 3375, and CS 4376.

General Information
Computer Science
Electrical Engineering
Software Engineering
Telecommunications Engineering


This catalog is a general information publication only. It is not intended to nor does it contain all regulations that relate to students. The provisions of this catalog do not constitute a contract, express or implied, between any applicant, student or faculty member and The University of Texas at Dallas or The University of Texas System. The University of Texas at Dallas reserves the right to withdraw courses at any time, to change fees or tuition, calendar, curriculum, degree requirements, graduation procedures, and any other requirements affecting students. Changes will become effective whenever the proper authorities so determine and will apply to both prospective students and those already enrolled.

Statement on Equal Educational Opportunity
The University of Texas at Dallas is committed to an educational and working environment that provides equal opportunity to all members of the University community. In accordance with federal and state law, the University prohibits unlawful discrimination on the basis of race, color, religion, national origin, gender, age, disability, and veteran status. Discrimination on the basis of sexual orientation is also prohibited pursuant to University policy.