UT Dallas 2018 Graduate Catalog

Erik Jonsson School of Engineering & Computer Science

Graduate Program in Computer Science

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 MS in Computer Science, the MS in Software Engineering, the PhD 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 and 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 systems are comprised of a private virtualization cloud, several individual computer servers, computer workstations, and desktop computers. Research 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, big data, natural language processing, speech processing, and web technologies. The Department of Computer Science network connects through Internet 2 with other research universities, gigabit ethernet intranet, and pervasive wireless connectivity.

Master of Science in Computer Science

33 semester credit hours minimum

Program Faculty

Professors: Farokh B. Bastani, R. Chandrasekaran, Ovidiu Daescu, Yvo G. Desmedt, Ding-Zhu Du, András Faragó, Paul Fishwick, Gopal Gupta, Zygmunt Haas, Sanda M. Harabagiu, Dung T. Huynh, Jason Jue, Murat Kantarcioglu, Latifur Khan, Andrian Marcus, Dan I. Moldovan, Yu-Chung (Vincent) Ng, Simeon C. Ntafos, Ivor P. Page, Balakrishnan Prabhakaran, Ravi Prakash, Balaji Raghavachari, Ivan Hal Sudborough, Bhavani Thuraisingham, Subbarayan Venkatesan, W. Eric Wong, Weili Wu, I-Ling Yen, Kang Zhang, Si Qing Zheng

Professors Emeritus: William J. Pervin, Klaus Truemper

Associate Professors: Sergey Bereg, Lawrence Chung, Jorge A. Cobb, Vibhav Gogate, Xiaohu Guo, Kevin Hamlen, Zhiqiang Lin, Yang Liu, Neeraj Mittal, Sriraam Natarajan, Tien Nguyen, Kamil Sarac, Haim Schweitzer, Rym Zalila-Wenkstern

Assistant Professors: Alvaro Cárdenas, Kyle Fox, Shuang Hao, Cong Liu, Ryan McMahan, Benjamin Raichel, Nicholas Ruozzi, Shiyi Wei, Lingming Zhang

Senior Lecturers: Sridhar Alagar, Gordon Arnold, Eric Becker, Jonathan Brandenburg, Ebru Cankaya, Anjum Chida, Michael Christiansen, John Cole, Chris I. Davis, Karen Doore, Timothy (Tim) Farage, Ranran Feng, Richard Goodrum, Neeraj Gupta, Shyam Karrah, Kamran Khan, Pushpa Kumar, Khiem Le, Karen Mazidi, Timothy McMahan, Richard K. Min, Linda Morales, Anarag Nagar, Nhut Nguyen, Mehra Nouroz Borazjany, Greg Ozbirn, Mark Paulk, Stephen Perkins, Miguel Razo-Razo, William (Bill) Semper, Charles Shields Jr., Jason W. Smith, Janell Straach, Laurie Thompson, Jeyakesavan (Jey) Veerasamy, Don G. Vogel, James Willson, Nurcan Yuruk

Admission Requirements

The University's general admission requirements are discussed on the Graduate Admission page.

The student entering the Computer Science MS 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 semester credit 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.
  • A strong foundation in programming.
  • A GPA (grade point average) of at least 3.0 (last 60 semester credit hours). GPA in quantitative courses of at least 3.3.
  • GRE revised scores of 308, 153, 155, and 4 for the combined, verbal, quantitative, and analytical writing components, respectively, are advisable based on our experience with student success in the program.
  • Applicants are admitted on a competitive basis.
  • Students lacking undergraduate preparation in computer science must complete the courses listed below. At the discretion of the graduate advisor, a diagnostic exam may be required. The required prerequisite courses common to all master's students are:

    Required Prerequisite Courses

    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 and/or CS 5330 by professional experience will be considered.

    Additional prerequisite courses required for the various degree plans are:

    For the Data Sciences Track:

    CS 3341 (SE 3341) Probability and Statistics in Computer Science and Software Engineering

    For the Information Assurance Track:

    CS 5390 Computer Networks

    For the MS in Software Engineering:

    CS 3354 (SE 3354) Software Engineering or SE 5354 Software Engineering

    For the Networks and Telecommunications Track:

    CS 3341 (SE 3341) Probability and Statistics in Computer Science and Software Engineering

    CS 5390 Computer Networks

    For the Traditional Computer Science:

    CS 5349 Automata Theory

    CS 5390 Computer Networks

    Degree Requirements

    The University's general degree requirements are discussed on the Graduate Policies and Procedures page.

    The student may choose a thesis plan or a non-thesis plan. The thesis plan requires a minimum of 27 semester credit hours of courses, plus completion of an approved thesis (six thesis semester credit 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 semester credit hours of courses.

    By a judicious planning of courses chosen from the computer science curriculum, supervised and approved by the graduate advisor, students may pursue the MS degree in Computer Science while emphasizing specific areas of the discipline. Students may also choose to receive the MS degree 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 advisor. Specific degree requirements follow.

    Core Requirements (15 semester credit hours)

    Students are required to complete one course from the following:

    Data Sciences Track

    CS 6313 Statistical Methods for Data Science

    CS 6350 Big Data Management and Analytics

    CS 6363 Design and Analysis of Computer Algorithms

    CS 6375 Machine Learning

    Choose one course from the following five courses:

    CS 6301 Special Topics in Computer Science [when topic is Social Network Analytics]

    CS 6320 Natural Language Processing

    CS 6327 Video Analytics

    CS 6347 Statistical Methods in AI and Machine Learning

    CS 6360 Database Design

    Information Assurance Track

    CS 6324 Information Security

    CS 6363 Design and Analysis of Computer Algorithms

    CS 6378 Advanced Operating Systems

    Choose two courses from the following four courses:

    CS 6332 System Security and Malicious Code Analysis

    CS 6348 Data and Application Security

    CS 6349 Network Security

    CS 6377 Introduction to Cryptography

    Intelligent Systems Track

    CS 6320 Natural Language Processing

    CS 6363 Design and Analysis of Computer Algorithms

    CS 6364 Artificial Intelligence

    CS 6375 Machine Learning

    Choose one course from the following two courses:

    CS 6360 Database Design

    CS 6378 Advanced Operating Systems

    Interactive Computing Track

    CS 6326 Human Computer Interactions

    CS 6363 Design and Analysis of Computer Algorithms

    Choose three of the following five courses:

    CS 6323 Computer Animation and Gaming

    CS 6328 Modeling and Simulation

    CS 6331 Multimedia Systems

    CS 6334 Virtual Reality

    CS 6366 Computer Graphics

    Networks and Telecommunications Track

    CS 6352 Performance of Computer Systems and Networks

    CS 6363 Design and Analysis of Computer Algorithms

    CS 6378 Advanced Operating Systems

    CS 6385 Algorithmic Aspects of Telecommunication Networks

    CS 6390 Advanced Computer Networks

    Systems Track

    CS 6304 Computer Architecture

    CS 6363 Design and Analysis of Computer Algorithms

    CS 6378 Advanced Operating Systems

    CS 6396 Real-Time Systems

    Choose one course from the following four courses:

    CS 6349 Network Security

    CS 6376 Parallel Processing

    CS 6380 Distributed Computing

    CS 6397 Synthesis and Optimization of High-Performance Systems

    CS 6399 Parallel Architectures and Systems

    Traditional Computer Science Track

    CS 6363 Design and Analysis of Computer Algorithms

    CS 6378 Advanced Operating Systems

    CS 6390 Advanced Computer Networks

    Choose two courses of the following three courses:

    CS 6353 Compiler Construction

    CS 6360 Database Design

    CS 6371 Advanced Programming Languages

    Doctor of Philosophy in Computer Science

    75 semester credit hours minimum beyond the baccalaureate degree

    Program Faculty

    Professors: Farokh B. Bastani, R. Chandrasekaran, Ovidiu Daescu, Yvo G. Desmedt, Ding-Zhu Du, András Faragó, Paul Fishwick, Gopal Gupta, Zygmunt Haas, Sanda M. Harabagiu, Dung T. Huynh, Jason Jue, Murat Kantarcioglu, Latifur Khan, Andrian Marcus, Dan I. Moldovan, Yu-Chung (Vincent) Ng, Simeon C. Ntafos, Ivor P. Page, Balakrishnan Prabhakaran, Ravi Prakash, Balaji Raghavachari, Ivan Hal Sudborough, Bhavani Thuraisingham, Subbarayan Venkatesan, W. Eric Wong, Weili Wu, I-Ling Yen, Kang Zhang, Si Qing Zheng

    Professors Emeritus: William J. Pervin, Klaus Truemper

    Associate Professors: Sergey Bereg, Lawrence Chung, Jorge A. Cobb, Vibhav Gogate, Xiaohu Guo, Kevin Hamlen, Zhiqiang Lin, Yang Liu, Neeraj Mittal, Sriraam Natarajan, Tien Nguyen, Kamil Sarac, Haim Schweitzer, Rym Zalila-Wenkstern

    Assistant Professors: Alvaro Cárdenas, Kyle Fox, Shuang Hao, Cong Liu, Ryan McMahan, Benjamin Raichel, Nicholas Ruozzi, Shiyi Wei, Lingming Zhang

    Objectives

    The Department of Computer Science offers a Doctor of Philosophy in Computer Science.

    The doctoral 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 advisor. 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 on the Graduate Admission page.

    A student may be admitted under one of two possible options. The student must have:

    Admission Option One

    • A master's degree in computer science or its equivalent, and
    • A GPA (grade point average) of at least 3.5, and
    • GRE revised scores of at least 315, 156, 159, and 4 for the combined, verbal, quantitative, and analytical writing components, respectively, are advisable based on our experience with student success in the program.

    Admission Option Two

    • A BS in related area that includes two semesters of calculus and linear algebra with
    • GPA of at least 3.5 in the last 60 semester credit hours, and
    • GRE revised scores of at least 315, 156, 159, and 4 for the combined, verbal, quantitative, and analytical writing components, respectively, are advisable based on our experience with student success in the program.
    • Degree Requirements

      The University's general degree requirements are discussed on the Graduate Policies and Procedures page.

      Core requirements:

      The core requirements for the PhD degree in Computer Science are the same as the ones listed on the Master of Science in Computer Science page or on the Master of Science in Software Engineering page.

      Also required are:

      • Pass a qualifying examination.
      • Pass CS 6382 Theory of Computation with a grade of B or better
      • Two CS or SE 7000 and above level courses
      • Sufficient CS electives for a total of at least 75 semester credit hours beyond the baccalaureate degree. At least 9 semester credit hours of organized advanced Computer Science electives must be taken at UT Dallas. The student is encouraged to consult with an advisor in choosing electives.

      Dissertation

      A dissertation is required and must be approved by the graduate program. A student must arrange for a dissertation advisor 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. Students must enroll in a minimum 3 dissertation semester credit hours in the degree plan. The dissertation may be in computer science exclusively or it may involve considerable work in an area of application.

      Graduate Level Designation in Cyber Operations

      The Department of Computer Science has been designated as a National Security Agency (NSA) Center of Academic Excellence in Cyber Operations (CAE in CyberOps). This designation endorses that the below listed courses cover cyber operations related knowledge units identified by NSA CAE in CyberOps program. Based on this designation a student completing eight courses (that include six core courses and two elective courses) from the list below will have the following notation recorded on their transcript.

      "Completed Curriculum Requirements for National Security Agency's Graduate Level Designation in Cyber Operations at UT Dallas"

      Students meeting the requirements of this program can have the designation clause recorded on their transcripts by applying prior to their graduation. For the application process, please visit the Education web page under Computer Science Department web site.

      Core Courses:

      CS 6301 Special Topics in Computer Science [when topic is Wireless Networks}

      CS 6324 Information Security

      CS 6332 System Security and Malicious Code Analysis

      CS 6349 Network Security

      CS 6363 Design & Analysis of Computer Algorithms

      CS 6390 Advanced Computer Networks

      Elective Courses:

      Two electives among the below courses:

      ACCT 6336 Information Technology Audit and Risk Management1

      CE 6301 CS 6301 Special Topics in Computer Science [when topic is Advanced Digital Logic]

      CS 6301 Secure Cloud Computing

      CS 6377 Introduction to Cryptography

      CS 6396 Real Time Systems

      CS 7301 Recent Advances in Computing [when topic is Cyber-physical Systems Security]

      CS 6378 Advanced Operating Systems

      CE 6302 Microprocessor Systems

      CS 4397 Embedded Computer Systems1

      CS 4398 Digital Forensics1

      Graduate Certificate in Information Assurance: 15 semester credit hours

      The Department of Computer Science has been designated as a National Security Agency (NSA) Center of Academic Excellence in Cyber Defense Education (CAE in CDE). This designation endorses that the below listed courses cover cyber defense related knowledge units identified by NSA CAE in CDE program. Based on this designation a student completing the below courses will qualify to obtain a certificate in information assurance. Students meeting the requirements of this program can obtain their certificate by applying prior to their graduation. For the application process, please visit the Education web page under Computer Science Department web site.

      Program Faculty

      Professors: Yvo G. Desmedt, Murat Kantarcioglu, Latifur Khan, Bhavani Thuraisingham, I-Ling Yen

      Associate Professors: Jorge A. Cobb, Kevin Hamlen, Zhiqiang Lin, Neeraj Mittal, Kamil Sarac

      Assistant Professors: Alvaro Cárdenas, Shuang Hao, Cong Liu, Shiyi Wei

      Senior Lecturers: Ebru Cankaya, Neeraj Gupta, Richard K. Min, Stephen Perkins

      Admission Requirements

      Students must gain admission to the MS CS program or be eligible to take graduate courses in CS as a non-degree seeking student

      Certificate Requirements

      Students must complete the following five courses with a GPA of 3.2 or better.

      CS 6324 Information Security

      CS 6348 Data and Applications Security

      CS 6349 Network Security

      CS 6363 Design and Analysis of Computer Algorithms

      CS 6378 Advanced Operating Systems

      1. ACCT 6336, CS 4397, and CS 4398 do not count as an elective in the CS/SE graduate degree plan.

Updated: 2018-05-30 14:54:56
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