621. Database Management Systems. (3) Introduction to large-scale database management systems. Topics include data independence, database models, query languages, security, integrity, and concurrency. (Syllabus for Thomas.)

631. Object-Oriented Software Engineering. (3) Study of software design and implementation from an object-oriented perspective, covering abstraction, encapsulation, data protection, inheritance, composition, polymorphism and dynamic vs. static binding. Students practice software engineering principles through team projects. (Syllabus for Pauca.)

633. Principles of Compiler Design. (3) Study of techniques for compiling computer languages including scanning, parsing, translating, and generating code. (Syllabus for Torgersen.)

641. Operating Systems. (3) Study of the different modules that compose a modern operating system. In-depth study of concurrency, processor management, memory management, file management and security.

643. Internet Protocols. (3) Study of wide area connectivity through interconnection networks. Emphasis will be placed on Internet architecture and protocols. Topics include addressing, routing, multicasting, quality of service and network security.

646. Parallel Computation. (3) Study of hardware and software issues in parallel computing. Topics include a comparison of parallel architectures and network topologies, and an introduction to parallel algorithms, languages, programming, and applications.

652. Numerical Linear Algebra. (3) Numerical methods for solving matrix and related problems in science and engineering. Topics will include systems of linear equations, least squares methods, and eigenvalue computations. Special emphasis given to parallel matrix computations. Beginning knowledge of a programming language such as Pascal, FORTRAN, or C is required. Credit not allowed for both MTH 626 and CSC 652. (Syllabus for Plemmons.)

655. Introduction to Numerical Methods. (3) Numerical computations on modern computer architectures; floating-point arithmetic and round-off error. Programming in a scientific/engineering language such as MATLAB, C, or FORTRAN. Algorithms and computer techniques for the solution of problems such as roots of functions, approximation, integration, systems of linear equations and least squares methods. Credit not allowed for both MTH 655 and CSC 655.

661. Digital Media. (3) Introduction to digital media covering sampling and quantization, resolution, color representation, multimedia file formats, data encoding and compression, multimedia network issues, streaming data, and multimedia programming. (Syllabus for Burg.)

663. Computer Graphics. (3) Study of software and hardware techniques in computer graphics. Topics include line and polygon drawing, hidden line and surface techniques, transformations, and ray tracing.

665. Image Processing Fundamentals. (3h) Study of the basic theory and algorithms for image enhancement, restoration, segmentation, and analysis.

671. Artificial Intelligence. (3) Introduction to problems in artificial intelligence. Knowledge representation and heuristic search in areas such as planning, machine learning, pattern recognition, and theorem proving. (Syllabus for Thomas.)

685. Bioinformatics. (3) Introduction to bioinformatics and computing techniques essential to current biomedical research. Topics include genome and protein sequence and protein structure databases, algorithms for bioinformatics research, and computer architecture and environment considerations. Also listed as PHY 627.

691. Selected Topics. (1, 2, or 3) Topics in computer science which are not studied in regular courses or which further examine topics begun in regular courses. P - POI. (Syllabus for Fetrow, Fulp, Torgersen, Turkett. )

693. Individual Study. (1 or 2) Independent study directed by a faculty adviser. By prearrangement.

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