Main Departmental Office
Discovery Park, Room F201
3940 N. Elm

Mailing address:
1155 Union Circle #311366
Denton, TX 76203-5017
940-565-2767

Web site: www.cse.unt.edu

Barrett Bryant, Chair

Faculty  

The Department of Computer Science and Engineering offers the Master of Science with majors in computer engineering and in computer science and the Doctor of Philosophy with a major in computer science and engineering.

The objective of the master’s degree is to produce professional computer scientists capable of contributing technically to the basic core areas of computer science and computer engineering as well as to application areas. The objective of the doctoral degree is to produce professionals capable of conducting and directing research within the discipline of computer science and engineering.

The department is committed to overall excellence in graduate education. Consequently, the programs of study for these degrees include a mixture of course, laboratory and research work designed to place graduates at the forefront of technical excellence.

The department also supports an interdisciplinary doctorate with a major in information science. See the Department of Information Science section of this catalog for more information.

Research

The Department of Computer Science and Engineering has a comprehensive research program that focuses on algorithms and computational science, artificial intelligence and data science, computer systems and networks, cybersecurity, and software engineering. These are organized into the following research laboratories.

Algorithms and computational science

The Algorithms, Combinatorics, and Graph Theory Laboratory (ACG) improves the theoretical/practical efficiency of algorithms. We aim at developing new branches of graph theory/combinatorics that can aid in modeling, and effectively solving (exactly or approximately), a wide range of computationally difficult problems.

The Computational Epidemiology Research Laboratory (CERL) applies computational science paradigms to the domain of public health, thereby providing tools for epidemiologists and public health researchers. CERL is part of CeCERA (the UNT Center for Computational Epidemiology and Response Analysis).

Artificial intelligence and data science

The Computer Vision and Intelligent Systems (CoVIS) Laboratory works to advance the understanding of the theories of machine learning for processing complex data and to develop applications in areas such as medicine and geo-information. The research focuses on both algorithm innovation and hardware integration, which includes computer vision, pattern recognition, data mining and artificial intelligence. The CoVIS lab is facilitated with state-of-the-art computing resources and various imaging technologies. The lab provides both graduate and undergraduate students a unique, collaborative research cohort to further their career goals.

The Data Mining and Information Retrieval Lab (DMIR) focuses on data mining for emerging applications (e.g., spatial, spatio-temporal, streaming, web and sensor databases) and on developing a variety of general techniques for representing, searching, filtering, organizing, and mining text information, with applications in multiple domains, including the Web, homeland security, and biomedical and health informatics. The lab conducts both fundamental and applied research and development to enable the use of information technology for many application domains, such as environmental monitoring, transportation and social networking.

The Human Intelligence and Language Technologies (HILT) Lab focuses on research on natural language processing (NLP), machine learning (ML), and cognitive science, with an emphasis on computational semantics and applications in spoken-dialogue educational health and wellbeing companion robots (companionbots), educational technology, health and clinical informatics, and end-user software engineering.

The Multimedia Information Laboratory conducts research on multimedia big data computing, multimedia material (videos and images) processing, multimedia information extraction, and multimedia information modeling and retrieval, which include video and image segmentation, motion and color analysis, image quality analysis, image texture analysis, and object recognition and detection by clustering and classification.

The Uncertainty Quantification and Biomedical AI (UQBioAI) Lab conducts research with a focus on the applications of UQ and UQ algorithm development, wearable analytics and the biomedical applications of Artificial Intelligence.

Computer systems and networks

The Computer Systems Research Laboratory focuses its work on next-generation processors and memory technologies including 3D stacked DRAMs, Phase Change Memories, Near Data Processing, dataflow and other innovative processor architectures. Research includes work on software tools and simulation environments that aid in developing both hardware and software solutions to improve performance, reduce energy consumption and prevent security breaches. Research also includes the analysis of security vulnerabilities and approaches to improve the security of computer systems.

The Smart Electronic Systems Laboratory (SESL) conducts research in Smart Electronics for the efficient realization of Internet-of-Things (IoT) based components for Smart Cities. The key aspects of the smart electronics are envisioned to be Energy-Smart, Security-Smart, and Response-Smart. Energy-Smart ensures that energy consumption of electronics is minimal for longer battery life. Security-Smart deals with the security/protection of electronics as well as that of the information/media that these systems capture, process, or store. Response-Smart refers to accurate sensing, intelligent processing, and fast actuation/response. Smart Electronics in the framework of IoT can provide 3Is (Instrumentation, Interconnection, and Intelligence) to the Smart Cities. Optimal combinations of hardware and software modules are explored for ESR-smartness of electronic systems.

The Wireless Sensor Laboratory (WiSL) was established with the following mission: to increase general wireless communications awareness among computer science and engineering graduates, produce skilled wireless specialists, and conduct research and development activities to advance the state-of-the-art in wireless sensors.

The Connected Autonomous Vehicle (CAV) Lab has identified research interests in cooperative perception, vehicular edge computing, deep learning, trustworthy communication, intervehicular communication and roadway infrastructure, and has received contributions from Toyota, the U.S. Department of Transportation, and the Texas Department of Transportation.

Cybersecurity

The Network Security Laboratory was established to increase general wireline and wireless security awareness of computer science and engineering graduates, to produce skilled security specialists, and to conduct research and development activities to advance the state-of-the-art in wireline and wireless security and communication.

Software engineering

The Research Innovation in Software Engineering (RISE) laboratory explores advances in software engineering through the areas of compiler design, domain-specific programming languages, game programming, human-computer interaction, logic programming, model-driven engineering, and software testing.

Research centers

Research centers housed within the department include:

The Center for Computational Epidemiology and Response Analysis (CeCERA) is a UNT center that operates under the Provost and Vice President for Academic Affairs. The Department of Computer Science and Engineering’s Computational Epidemiology Research Laboratory (CERL) is part of CeCERA. CERL applies computational science paradigms to the domain of public health researchers.

The Center for Information and Cyber Security (CICS) has helped UNT earn the designations of “Center of Academic Excellence in Cyber Defense Education” and “Center of Academic Excellence in Cyberdefense Research” from the National Security Agency for its strong information and cyber security program. This designation places UNT among the top institutions in the country in the field of cyber security.

The Net-centric and Cloud Software and Systems Center (NCSS) is an NSF Industry/University Cooperative Research Center that focuses on a collaborative approach of research and development in net-centric and cloud computing systems. This allows us to draw on the expertise of industry and academia. The center explores the development, verification, validation of applications and systems for net-centric and cloud environments, such that the applications and services meet service level agreements (SLAs) including response time, reliability and security.

Faculty research has been supported through grants from federal and state institutions and private industry including the Army Research Office, Fujitsu Labs, Los Alamos National Laboratory, National Aeronautics and Space Administration, National Geospatial-Intelligence Agency, National Institutes of Health, National Institute for Standards and Technology, National Science Foundation, National Security Agency, and Toyota. The department enjoys a friendly working relationship with local and national companies. The department’s Industrial Advisory Board is composed of representatives from high-tech firms. They help obtain research funding, fellowships and internships for students in the department.

Admission to degree programs

Admission to graduate degree programs in computer science and computer engineering is competitive. Applications, complete with transcripts, GRE scores (UNT computer science and engineering graduates are exempt.) and English language proficiency scores, if applicable, must be submitted by the following dates to be given consideration for the term/semester indicated.

April 1 — fall term/semester
October 15 — spring term/semester

Assistantships

Students who wish to be considered for an assistantship must submit a graduate application complete with transcripts, GRE scores (UNT computer science and engineering graduates are exempt), and English language proficiency scores, if applicable, must be submitted by the following dates to be considered for the term/semester indicated.

January 15 — fall term/semester
September 15 — spring term semester

In addition to completing an application for admission, students who wish to be considered for an assistantship must complete an assistantship application by January 15 for the fall semester and by September 15 for the spring semester. Assistantship applications are available on the department’s web site.

Additional information

Programs are listed below. Information regarding the department’s degree programs, including admission requirements and degree requirements, can be obtained from the department’s web site.

Programs

• Computer Engineering, MS
• Computer Science with concentrations in Professional Master of Science in Cybersecurity or Data Science, MS
• Computer Science, MS
• Cybersecurity, MS

• Computer Science and Engineering, PhD

• Computer Science minor

Courses

• CSCE 5050 - Applications of Cryptography
• CSCE 5100 - Theory of Computation
• CSCE 5150 - Analysis of Computer Algorithms
• CSCE 5160 - Parallel Processing and Algorithms
• CSCE 5170 - Graph Theory
• CSCE 5200 - Information Retrieval and Web Search
• CSCE 5210 - Fundamentals of Artificial Intelligence
• CSCE 5213 - Modeling and Simulation
• CSCE 5214 - Software Development for Artificial Intelligence
• CSCE 5215 - Machine Learning
• CSCE 5216 - Pattern Recognition
• CSCE 5218 - Deep Learning
• CSCE 5220 - Computer Graphics
• CSCE 5222 - Feature Engineering
• CSCE 5225 - Digital Image Processing
• CSCE 5230 - Methods of Numerical Computations
• CSCE 5250 - Introduction to Game Programming
• CSCE 5255 - Programming Math and Physics for Games
• CSCE 5260 - 3D Game Programming
• CSCE 5265 - Advanced Topics in Game Development
• CSCE 5266 - Game Programming Project 1
• CSCE 5267 - Game Programming Project 2
• CSCE 5270 - Computer-Human Interfaces
• CSCE 5280 - AI for Wearables and Healthcare
• CSCE 5290 - Natural Language Processing
• CSCE 5300 - Introduction to Big Data and Data Science
• CSCE 5310 - Methods in Empirical Analysis
• CSCE 5320 - Scientific Data Visualization
• CSCE 5350 - Fundamentals of Database Systems
• CSCE 5360 - Implementations and Practices of Database Systems
• CSCE 5370 - Distributed and Parallel Database Systems
• CSCE 5380 - Data Mining
• CSCE 5390 - Multimedia Computing
• CSCE 5400 - Formal Languages, Automata and Computability
• CSCE 5411 - Non-Numeric Programming
• CSCE 5412 - Foundations of Logic Programming
• CSCE 5420 - Software Development
• CSCE 5430 - Software Engineering
• CSCE 5440 - Real-Time Software Development
• CSCE 5450 - Programming Languages
• CSCE 5460 - Software Testing and Empirical Methodologies
• CSCE 5465 - Usability Testing in Software Engineering
• CSCE 5510 - Wireless Communications
• CSCE 5520 - Wireless Networks and Protocols
• CSCE 5530 - Computer Network Design
• CSCE 5540 - Introduction to Sensor Networks
• CSCE 5550 - Introduction to Computer Security
• CSCE 5555 - Computer Forensics
• CSCE 5560 - Secure Electronic Commerce
• CSCE 5565 - Secure Software Systems
• CSCE 5580 - Computer Networks
• CSCE 5585 - Network Security
• CSCE 5610 - Computer System Architecture
• CSCE 5612 - Embedded Hardware/Software Design
• CSCE 5615 - Networks-on-Chip
• CSCE 5620 - Real-Time Operating Systems
• CSCE 5640 - Operating System Design
• CSCE 5650 - Compiler Design
• CSCE 5655 - Principles of Compiler Optimization
• CSCE 5680 - Distributed Systems
• CSCE 5730 - Digital CMOS VLSI Design
• CSCE 5740 - Topics in Modern Electronic System Design
• CSCE 5760 - Design for Fault Tolerance
• CSCE 5810 - Biocomputing
• CSCE 5820 - Computational Epidemiology
• CSCE 5900 - Special Problems
• CSCE 5932 - Internship
• CSCE 5933 - Topics in Computer Science and Engineering
• CSCE 5934 - Directed Study
• CSCE 5950 - Master’s Thesis
• CSCE 6050 - Advanced Topics in Cryptography
• CSCE 6213 - Advanced Topics in Modeling and Simulation
• CSCE 6260 - Advanced Topics in Pattern Recognition and Image Processing
• CSCE 6280 - Advanced Topics in Artificial Intelligence
• CSCE 6290 - Advanced Topics in Human/Machine Intelligence
• CSCE 6350 - Advanced Topics in Database Systems
• CSCE 6370 - Advanced Topics in Multimedia Database Systems
• CSCE 6420 - Advanced Topics in Software Engineering
• CSCE 6450 - Advanced Topics in Programming Languages
• CSCE 6581 - Advanced Topics in Computer Networks
• CSCE 6585 - Advanced Topics in Network Security
• CSCE 6590 - Advanced Topics in Wireless Communications and Networks
• CSCE 6610 - Advanced Topics in Computer Architecture
• CSCE 6620 - Advanced Topics in Real-Time Operating Systems
• CSCE 6640 - Advanced Topics in Operating Systems
• CSCE 6650 - Advanced Topics in Compiler Techniques
• CSCE 6731 - Advanced Topics in VLSI Systems
• CSCE 6810 - Advanced Topics in Computational Life Science
• CSCE 6900 - Special Problems
• CSCE 6933 - Advanced Topics in Computer Science and Engineering
• CSCE 6940 - Individual Research
• CSCE 6950 - Doctoral Dissertation