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Spring 2013 Semester
Apr 21, 2014
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CS 5010 - Programming Design Paradigm
Introduces modern program design paradigms. Starts with functional program design, introducing the notion of a design recipe. The latter consists of two parts: a task organization (ranging from the description of data to the creation of a test suite) and a data-oriented approach to the organization of programs (ranging from atomic data to self-referential data definitions and functions as data). The course then progresses to object-oriented design, explaining how it generalizes and contrasts with functional design. In addition to studying program design, students also have an opportunity to practice pair-programming and public code review techniques, as found in industry today. Coreq. CS 5011.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 5011 - Recitation for CS 5010
Provides small-group discussion format to cover material in CS 5010. Coreq. CS 5010.
0.000 Credit hours
0.000 Lecture hours

Levels: Graduate
Schedule Types: Recitation/Discussion

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 5100 - Foundations of Artificial Intelligence
Introduces the fundamental problems, theories, and algorithms of the artificial intelligence field. Topics include heuristic search and game trees, knowledge representation using predicate calculus, automated deduction and its applications, problem solving and planning, and introduction to machine learning. Required course work includes the creation of working programs that solve problems, reason logically, and/or improve their own performance using techniques presented in the course. Prereq. Experience in Java programming.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 5200 - Database Management Systems
Introduces relational database management systems as a class of software systems. Prepares students to be sophisticated users of database management systems. Covers design theory, query language, and performance/tuning issues. Topics include relational algebra, SQL, stored procedures, user-defined functions, cursors, embedded SQL programs, client-server interfaces, entity-relationship diagrams, normalization, B-trees, concurrency, transactions, database security, constraints, object-relational DBMSs, and specialized engines such as spatial, text, XML conversion, and time series. Includes exercises using a commercial relational or object-relational database management system. Prereq. Computer/information science students only.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 5310 - Computer Graphics
Introduces the fundamentals of two-dimensional and three-dimensional computer graphics, with an emphasis on approaches for obtaining realistic images. Covers two-dimensional algorithms for drawing lines and curves, anti-aliasing, filling, and clipping. Studies rendering of three-dimensional scenes composed of spheres, polygons, quadric surfaces, and bi-cubic surfaces using ray-tracing and radiosity. Includes techniques for adding texture to surfaces using texture and bump maps, noise, and turbulence. Prereq. Knowledge of linear algebra.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 5320 - Digital Image Processing
Studies the fundamental concepts of digital image processing including digitization and display of images, manipulation of images to enhance or restore image detail, encoding (compression) of images, detection of edges and other object features in images, and the formation of computed tomography (CT) images. Introduces mathematical tools such as linear systems theory and Fourier analysis and uses them to motivate and explain these image processing techniques. Prereq. Knowledge of linear algebra.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 5330 - Pattern Recognition and Computer Vision
Introduces fundamental techniques for low-level and high-level computer vision. Examines image formation, early processing, boundary detection, image segmentation, texture analysis, shape from shading, photometric stereo, motion analysis via optic flow, object modeling, shape description, and object recognition (classification). Discusses models of human vision (gestalt effects, texture perception, subjective contours, visual illusions, apparent motion, mental rotations, and cyclopean vision). Prereq. Knowledge of linear algebra.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 5335 - Robotic Science and Systems
Introduces autonomous mobile robots with a focus on algorithms and software development, including closed-loop control, robot software architecture, wheeled locomotion and navigation, tactile and basic visual sensing, obstacle detection and avoidance, and grasping and manipulation of objects. Offers students an opportunity to progressively construct mobile robots from a predesigned electromechanical kit. The robots are controlled wirelessly by software of the students’ own design, built within a provided robotics software framework. Culminates in a project that connects the algorithms and hardware developed in the course with a selected topic in the current robotics research literature. Coreq. CS 5336.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 5336 - Lab for CS 5335
Offers a lab section to accompany CS 5335. Coreq. CS 5335.
0.000 Credit hours
0.000 Lab hours

Levels: Graduate
Schedule Types: Lab

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 5340 - Computer/Human Interaction
Covers the principles of human-computer interaction and the design and evaluation of user interfaces. Topics include an overview of human information processing subsystems (perception, memory, attention, and problem solving); how the properties of these systems affect the design of user interfaces; the principles, guidelines, and specification languages for designing good user interfaces, with emphasis on tool kits and libraries of standard graphical user interface objects; and a variety of interface evaluation methodologies that can be used to measure the usability of software. Other topics may include World Wide Web design principles and tools, computer-supported cooperative work, multimodal and “next generation” interfaces, speech and natural language interfaces, and virtual reality interfaces. Course work includes both the creation and implementation of original user interface designs, and the evaluation of user interfaces created by others. Prereq. Knowledge of C programming language/UNIX.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 5350 - Applied Geometric Representation and Computation
Surveys practical techniques for representing geometric objects in two and three dimensions, for computing their motions and interactions, and for human interfaces to manipulate them. These techniques are useful not only in graphics but also in robotics, computer vision, game design, geographic information systems, computer-aided design and manufacturing, spatial reasoning and planning, physical simulation, biomechanics, and the implementation of many types of human-computer interface. Prereq. Undergraduate background in algorithms.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 5400 - Principles of Programming Language
Studies the basic components of programming languages, specification of syntax and semantics, and description and implementation of programming language features. Discusses examples from a variety of languages. Prereq. CS 5010.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 5500 - Managing Software Development
Covers software life cycle models (waterfall, spiral, and so forth), domain engineering methods, requirements analysis methods (including formal specifications), software design principles and methods, verification and testing methods, resource and schedule estimation for individual software engineers, component-based software development methods and architecture, and languages for describing software processes. Includes a project where some of the software engineering methods (from domain modeling to testing) are applied in an example. Prereq. (a) CS 5010 and (b) admission to MS program or completion of all transition courses.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 5520 - Mobile Application Development
Focuses on mobile application development on a mobile phone or related platform. Discusses memory management; user interface building, including both MVC principles and specific tools; touch events; data handling, including core data, SQL, XML, and JSON; network techniques and URL loading; and, finally, specifics such as GPS and motion sensing that may be dependent on the particular mobile platform. Students are expected to work on a project that produces a professional-quality mobile application and to demonstrate the application that they have developed. The instructor chooses a modern mobile platform to be used in the course.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 5600 - Computer Systems
Studies the structure, components, design, implementation, and internal operation of computer systems, focusing mainly on the operating system level. Reviews computer hardware and architecture including the arithmetic and logic unit, and the control unit. Covers current operating system components and construction techniques including the memory and memory controller, I/O device management, device drivers, memory management, file system structures, and the user interface. Introduces distributed operating systems. Discusses issues arising from concurrency and distribution, such as scheduling of concurrent processes, interprocess communication and synchronization, resource sharing and allocation, and deadlock management and resolution. Includes examples from real operating systems. Exposes students to the system concepts through programming exercises. Prereq. Admission to MS program or completion of all transition courses.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 5610 - Web Development
Discusses Web development for sites that are dynamic, data driven, and interactive. Focuses on the software development issues of integrating multiple languages, assorted data technologies, and Web interaction. Considers ASP.NET, C#, HTTP, HTML, CSS, XML, XSLT, JavaScript, AJAX, RSS/Atom, SQL, and Web services. Each student must deploy individually designed Web experiments that illustrate the Web technologies and at least one major integrative Web site project. Students may work in teams with the permission of the instructor. Each student or team must also create extensive documentation of their goals, plans, design decisions, accomplishments, and user guidelines. All source files must be open and be automatically served by a sources server.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 5620 - Computer Architecture
Studies the design of digital computer system components including the CPU, the memory subsystem, and interconnection busses and networks. Explores modern design techniques for increasing computer system capacity. Emphasizes the growing gap between CPU and RAM speed, and the parallel operation of the growing number of functional units in a CPU. Topics include pipelining, cache, new CPU architecture models, memory bandwidth and latency, multiprocessing and parallel processing architectures, cache coherence, and memory consistency. Prereq. CS 5600 or CS 7600.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 5650 - High Performance Computing
Introduces students to research in the domain of high performance computing. Each instance of this course covers a single topic with broad open questions. The required systems background needed to investigate these questions is covered in the first part of the course. Then, working in teams, students have an opportunity to address different aspects of the open questions so that in combination the entire class may learn more than any single team could accomplish. Example topics include use of new hardware such as GPUs on video boards; use of new software tools for multicore computing; development of check-pointing packages for more robust long computations; software for GUI window systems; and cloud computing. Prereq. (a) CS 5600 or CS 7600 and (b) permission of instructor.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 5700 - Fundamentals of Computer Networking
Studies network protocols, focusing on modeling and analysis, and architectures. Introduces modeling concepts, emphasizing queuing theory, including Little’s theorem, M/M/1, M/M/m, M/D/1, and M/G/1 queuing systems. Discusses performance evaluation of computer networks including performance metrics, evaluation tools and methodology, simulation techniques, and limitations. Presents the different harmonizing functions needed for communication and efficient operation of computer networks and discusses examples of Ethernet, FDDI, and wireless networks. Covers link layer protocols including HDLC, PPP, and SLIP; packet framing; spanning tree and learning bridges, error detection techniques, and automatic repeat request algorithms; sliding window and reliable/ordered services; and queuing disciplines including FQ and WFQ. Introduces flow control schemes, such as window flow control and leaky bucket rate control schemes, and discusses congestion control and fairness. Prereq. Computer/information science majors only and knowledge of probability theory.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 5750 - Social Computing
Offers a detailed look at popular social information systems. Studies models (both computational and sociological) of social information systems and the application of them both in theory and by analyzing real data from social network interactions. The recent popularity of online social media underlies a shift in the way people connect, communicate, and share content. When designing social computing systems, one must now understand and carefully consider the structure and use of the underlying social network. Considers questions such as: How does information spread through a social network? What mechanisms work best at encouraging collaboration? Prereq. CS 5600 or CS 5700; computer and information science students only.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 5770 - Software Vulnerabilities and Security
Seeks to help students to become aware of systems security issues and to gain a basic understanding of security. Presents the principal software and applications used in the Internet, discussing in detail the related vulnerabilities and how they are exploited. Also discusses programming vulnerabilities and how they are exploited. Examines protection and detection techniques. Includes a number of practical lab assignments as well as a discussion of current research in the field. Prereq. Junior, senior, or graduate standing.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate, Undergraduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 5800 - Algorithms
Presents the mathematical techniques used for the design and analysis of computer algorithms. Focuses on algorithmic design paradigms and techniques for analyzing the correctness, time, and space complexity of algorithms. Topics may include asymptotic notation, recurrences, loop invariants, Hoare triples, sorting and searching, advanced data structures, lower bounds, hashing, greedy algorithms, dynamic programming, graph algorithms, and NP-completeness. Prereq. Admission to MS program or completion of all transition courses.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 5976 - Directed Study
Focuses on student examining standard computer science material in fresh ways or new computer science material that is not covered in formal courses. Prereq. Permission of instructor.
2.000 TO 4.000 Credit hours
2.000 TO 4.000 Lecture hours

Levels: Graduate
Schedule Types: Individual Instruction

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 5978 - Independent Study
Offers independent work under the direction of members of the department on a chosen topic. Course content depends on instructor. Prereq. Permission of instructor.
2.000 TO 4.000 Credit hours
2.000 TO 4.000 Lecture hours

Levels: Graduate
Schedule Types: Individual Instruction

Computer Science Department

Course Attributes:
GSCS Computer & Info Science, Do not publish in schedule

CS 5984 - Research
Offers an opportunity to conduct research under faculty supervision. Prereq. Permission of instructor.
2.000 TO 4.000 Credit hours
2.000 TO 4.000 Lecture hours

Levels: Graduate
Schedule Types: Individual Instruction

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 6110 - Knowledge Based Systems
Focuses on the acquisition, organization, and use of world knowledge in computers, and the challenge of creating programs with common sense. Topics include knowledge representation and reasoning models beyond predicate calculus, Bayesian inference and other models of reasoning and decision making under uncertainty, rule-based expert systems, case-based and analogical reasoning, and introduction to natural language processing. Course work includes the creation of working programs that store and manipulate world knowledge using techniques presented in the course. Prereq. CS 5100.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 6120 - Natural Language Processing
Provides an introduction to the computational modeling of human language, the ongoing effort to create computer programs that can communicate with people in natural language, and current applications of the natural language field, such as automated document classification, intelligent query processing, and information extraction. Topics include computational models of grammar and automatic parsing, statistical language models and the analysis of large text corpuses, natural language semantics and programs that understand language, models of discourse structure, and language use by intelligent agents. Course work includes formal and mathematical analysis of language models, and implementation of working programs that analyze and interpret natural language text. Prereq. CS 5100.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 6140 - Machine Learning
Provides a broad look at a variety of techniques used in machine learning and data mining, and also examines issues associated with their use. Topics include algorithms for supervised learning including decision tree induction, artificial neural networks, instance-based learning, probabilistic methods, and support vector machines; unsupervised learning; and reinforcement learning. Also covers computational learning theory and other methods for analyzing and measuring the performanceof learning algorithms. Course work includes a programming term project. Prereq. CS 5800.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 6200 - Information Retrieval
Provides an introduction to information retrieval systems and different approaches to information retrieval. Topics covered include evaluation of information retrieval systems; retrieval, language, and indexing models; file organization; compression; relevance feedback; clustering; distributed retrieval and metasearch; probabilistic approaches to information retrieval; Web retrieval; filtering, collaborative filtering, and recommendation systems; cross-language IR; multimedia IR; and machine learning for information retrieval.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 6220 - Data Mining Techniques
Covers various aspects of data mining, including classification, prediction, ensemble methods, association rules, sequence mining, and cluster analysis. The class project involves hands-on practice of mining useful knowledge from a large data set. Prereq. CS 5800 or CS 7800.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 6240 - Parallel Data Processing in MapReduce
Introduces the MapReduce programming model and the core technologies it relies on in practice, such as a distributed file system and the distributed consensus protocol. Also discusses related approaches and technologies from distributed databases and cloud computing. Emphasizes practical examples and hands-on programming experiences. Examines both plain MapReduce and database-inspired advanced programming models running on top of a MapReduce infrastructure. Prereq. CS 5800 or permission of instructor.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 6310 - Computational Imaging
Introduces the latest computational methods in digital imaging that overcome the traditional limitations of a camera and enable novel imaging applications. Provides a practical guide to topics in image capture and manipulation methods for generating compelling pictures for computer graphics and for extracting scene properties for computer vision, with several examples. Prereq. (a) CS 5320 or EECE 7311 and (b) permission of instructor.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 6350 - Empirical Research Methods
Presents an overview of methods for conducting empirical research within computer science. These methods help provide objective answers to questions about the usability, effectiveness, and acceptability of systems. The course covers the basics of the scientific method, building from a survey of objective measures to the fundamentals of hypothesis testing using relatively simple research designs, and on to more advanced research designs and statistical methods. The course also includes a significant amount of fieldwork, spanning the design, conduct, and presentation of small empirical studies. Prereq. Junior, senior, or graduate standing.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 6410 - Compilers
Expects each student to write a small compiler. Topics include parser generation, abstract syntax trees, symbol tables, type checking, generation of intermediate code, simple code improvement, register allocation, run-time structures, and code generation. Prereq. CS 5400 or CS 7400; computer/information science students and engineering students only.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 6412 - Semantics of Programming Language
Studies mathematical models for the behavior of programming languages. Topics include operational, denotational, and equational specifications; Lambda-calculi and their properties; applications of these techniques, such as rapid prototyping and correctness of program optimizations. Prereq. (a) CS 5400 or CS 7400 and (b) knowledge of discrete mathematics.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 6510 - Advanced Software Development
Presents current ideas and techniques in software methodology and provides a means for students to apply these techniques. Students are expected to design, implement, test, and document a software project. Prereq. CS 5500.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 6515 - Software Development
Covers proven techniques for constructing maintainable software. Includes problem and data analysis, data definitions, concise specifications, interfaces, example and test data design, program design based on data definitions, and testing. Offers students an opportunity to practice what they learn and learn from what they practice through an evolving semester-long project in the programming language of their choice.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 6520 - Methods of Software Development
Studies concepts of object-oriented programming that form the basis for components (generic programming, programming by contracts, or programming with metaclasses), software architecture for supporting components (implicit invocation, filters, or reflection), and the concrete realizations of components in some industrial standards (JavaBeans, EJB, CORBA, or COM/DCOM). Also covers selected topics in component research. Students complete a project where some creation, deployment, and evolution methods of software components are applied. Prereq. CS 5500.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 6530 - Analysis of Software Artifacts
Addresses all kinds of software artifacts—specifications, designs, code, and so on—and covers both traditional analyses, such as verification and testing, and promising new approaches, such as model checking, abstract execution, and new type systems. Focuses on the analysis of function (for finding errors in artifacts and to support maintenance and reverse engineering), but the course also address other kinds of analysis (such as performance and security). Prereq. CS 5500.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 6535 - Engineering Reliable Software
Continues the exploration of several themes from CS 5010: unit testing, random testing, and logical reasoning about software. Specifically revisits the idea of systematic design and its connection to making logical claims about the workings of programs. After an introduction to the ACL2 programming language and theorem prover, offers students an opportunity to redesign interactive games (e.g., “Space Invaders”) and work on turning them into reliable projects. Prereq. CS 5010 or permission of instructor.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 6540 - Foundations of Formal Methods and Software Analysis
Covers necessary mathematical background such as first-order logic, and some measure theory. Studies the formal methods in more depth and breadth. Discusses the current state of the art in verification and semantics of probabilistic, real-time, and hybrid systems. Prereq. CS 6520.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 6610 - Parallel Computing
Studies the principles of parallel processing, a variety of parallel computer architecture models including SIMD, MIMD, dataflow, systolic arrays, and network of workstations, and algorithms for parallel computation on the various models. Topics include interconnection network design, memory organization, cache and bus design, processor technologies, algorithms for sorting, combinatorial, and numerical problems, graph algorithms, matrix multiplication, and FFT, and the mapping of these algorithms to different architectures. Prereq. CS 5600 and CS 5800.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 6710 - Wireless Network
Covers both theoretical issues related to wireless networking and practical systems for both wireless data networks and cellular wireless telecommunication systems. Topics include fundamentals of radio communications, channel multiple access schemes, wireless local area networks, routing in multihop ad hoc wireless networks, mobile IP, and TCP improvements for wireless links, cellular telecommunication systems, and quality of service in the context of wireless networks. Requires a project that addresses some recent research issues in wireless and mobile networking. Prereq. CS 5700 and permission of instructor.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 6740 - Network Security
Studies the theory and practice of computer security, focusing on the security aspects of multiuser systems and the Internet. Introduces cryptographic tools, such as encryption, key exchange, hashing, and digital signatures in terms of their applicability to maintaining network security. Discusses security protocols for mobile networks. Topics include firewalls, viruses, Trojan horses, password security, biometrics, VPNs, and Internet protocols such as SSL, IPSec, PGP, SNMP, and others.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 6750 - Cryptography and Communications Security
Studies the design and use of cryptographic systems for communications and other applications such as e-commerce. Discusses the history of cryptographic systems, the mathematical theory behind the design, their vulnerability, and the different cryptanalytic attacks. Topics include stream ciphers including shift register sequences; block ciphers, such as DES and AES; public-key systems including RSA, discrete logarithms; signature schemes; hash functions, such as MD5 and SHA1; and protocol schemes including identification schemes, zero-knowledge proofs, authentication schemes, and secret sharing schemes. Discusses key management problems including Needham-Schroeder protocols and certificates. Prereq. CS 5800 or CS 7800.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 6754 - Secure Wireless Ad-hoc Robots on Mission (SWARM) 1
Exposes students to the concepts underlying the design of robust and secure heterogeneous wireless networking of mobile robots: internetworking, security, wireless communication, embedded development, and mobile phone platforms. Students in this project-oriented course form mixed teams with the goal of designing and building rescue-mission-oriented heterogeneous wireless systems operating in adversarial environments. These systems consist of off-the-shelf robots enhanced by the students with a low-power control and sensing embedded system; a low-power digital radio frequency communication network; a coordination unit connected to the Internet; and a messaging and command system based on cell phones. The course culminates in a competition between teams. Students are graded based on their designs, presentations, innovation, robustness, and competition performance. Graduate students are expected to make a research contribution. Prereq. Permission of instructor; open to students from computer/information science, electrical/computer engineering, mechanical engineering, and mathematics.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 6756 - Secure Wireless Ad-hoc Robots on Mission (SWARM) 2
Continues CS 6754. Based on the experiences in CS 6754, student teams have an opportunity to build more autonomous systems that can navigate areas where wireless communication or direct visibility are not possible. The systems must be resilient to more sophisticated denial-of-service attacks and need to more carefully account for energy consumption expended on mobility, communication, and meeting the mission task. Graduate students are expected to make a research contribution. Prereq. CS 6754 and permission of instructor.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 6760 - Privacy, Security, and Usability
Challenges conventional wisdom and encourages students to discover ways that security, privacy, and usability can be made synergistic in system design. Usability and security are widely seen as two antagonistic design goals for complex computer systems. Topics include computer forensics, network forensics, user interface design, backups, logging, economic factors affecting adoption of security technology, trust management, and related public policy. Uses case studies such as PGP, S/MIME, and SSL. Introduces basic cryptography and hash function as it is needed. Course work includes analysis of papers, problem sets, and a substantial term project.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 6800 - Application of Information Theory
Introduces information theory and its applications to various computational disciplines. Covers the basic concepts of information theory, including entropy, relative entropy, mutual information, and the asymptotic equipartition property. Concentrates on applications of information theory to computer science and other computational disciplines, including compression, coding, Markov chains, machine learning, information retrieval, statistics, computational linguistics, computational biology, wired and wireless networks, and image and speech processing. The course is self-contained; no prior knowledge of information theory is required or assumed. Prereq. CS 5800 and permission of instructor.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 6810 - Distributed Algorithms
Covers the design and analysis of algorithms and problems arising in distributed systems, with emphasis on network algorithms. The main concerns are efficiency of computation and communication, fault tolerance, and asynchrony. Topics include leader election, graph algorithms, datalink protocols, packet routing, logical synchronization and clock synchronization, resource allocation, self-stabilization of network protocols, and graph partitions. Prereq. (a) CS 5800 or CS 7800 and (b) permission of instructor.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 6949 - Graduate Cooperative Education Seminar
Intended to prepare graduate students in computer and information science for co-op through examination of topics such as ethics, privacy, security, responsibility, and intellectual property.
0.000 Credit hours
0.000 Lecture hours

Levels: Graduate
Schedule Types: Seminar

Computer Science Department

Course Attributes:
GSCS Computer & Info Science, Full-time status

CS 6960 - Exam Preparation—Master’s
Offers the student the opportunity to prepare for the master’s qualifying exam under faculty supervision. Prereq. Permission of advisor.
0.000 Credit hours
0.000 Lecture hours

Levels: Graduate
Schedule Types: Individual Instruction

Computer Science Department

Course Attributes:
GSCS Computer & Info Science, Full-time status

CS 6962 - Elective
Offers elective credit for courses taken at other academic institutions. Prereq. Permission of instructor.
1.000 TO 4.000 Credit hours
1.000 TO 4.000 Lecture hours

Levels: Graduate
Schedule Types: Off-campus instruction

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

CS 6964 - Co-op Work Experience
Provides eligible students with an opportunity for work experience. Prereq. Permission of advisor.
0.000 Credit hours
0.000 Lecture hours

Levels: Graduate
Schedule Types: Individual Instruction

Computer Science Department

Course Attributes:
GSCS Computer & Info Science, Full-time status

CS 6966 - Practicum
Provides eligible students with an opportunity for practical experience. Prereq. Permission of instructor.
2.000 TO 4.000 Credit hours
2.000 TO 4.000 Lecture hours

Levels: Graduate
Schedule Types: Individual Instruction

Computer Science Department

Course Attributes:
GSCS Computer & Info Science


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Release: 8.5.4