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Course Criteria
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3.00 Credits
{§ISAT B450} (Prerequisite: CSCI B350 or consent, and STAT B340) An introduction to modeling and simulation. Topics include fundamental techniques in designing, coding, and use of simulation software to represent actual or theoretical systems in order to observe their behavior and evaluate design correctness.
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3.00 Credits
(Prerequisite: CSCI B350 or consent.) Game concept development; User interface design; Graphics (2D, 3D, animation, and advanced techniques); Game physics; Real-time interaction; Intelligent characters; Software engineering considerations.
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3.00 Credits
(Prerequisite: CSCI B104 or CSCI B145, MATH B230 or CSCI/MATH B280, STAT B340) Overview of digital image processing techniques and their applications; transforms, enhancement, analysis, segmentation, compression, color image processing; computer projects.
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3.00 Credits
(Prerequisite: CSCI B350 and CSCI B365 or consent) Concepts of visualization and human vision system; hardware and software basics of computer graphics; visualization pipeline; data representation and processing in computer graphics; algorithms in rendering 2D and 3D geometry; image processing; applications of visualization in science and technology.
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3.00 Credits
{§ISAT B469} (Prerequisite: CSCI B104 or CSCI B145, MATH B230 or CSCI/MATH B280, and CSCI B150) Architecture and interconnection of parallel computers; parallel programming models and applications; issues in high performance computing; programming of parallel computers; general purpose GPU programming and applications.
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3.00 Credits
{§ISAT B470} (Prerequisite: CSCI B350 or consent) Testing theory and techniques for software systems; software development process, specification, black-box and white-box testing, configuration and compatibility testing, usability testing, quality assurance, testing planning, and documentation.
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1.00 Credits
{§ISAT B499} (Prerequisite: Computational Science major or consent of instructor) Practical full-time work experience in an area of Computational Science, selected by the student and approved by the Department Chair or Computational Science Program Coordinator. For 1 credit, 45 minimum internship work hours required; for 2 credits, 90 work hours, and for 3 credits, 135 work hours.
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3.00 Credits
(Prerequisite: Enrollment in CSCI M.S. program OR consent of instructor) Application of mathematical, science, and engineering problems to software engineering. Introduction to operating systems including UNIX/LINUX.
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3.00 Credits
{§MATH B502} (Prerequisite: CSCI B280 and MATH B240 [or demonstrated equivalent knowledge/experience], or consent of instructor) Application of tools and techniques to algorithmic problems arising in discrete applied math. Topics include probabilistic methods, entropy, linear algebra methods, risk analysis, approximation and optimization techniques, and performance analysis.
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3.00 Credits
(Prerequisite: undergraduate programming experience or CSCI B500 or consent of instructor) Selected topics in computational science. May be repeated under different topics.
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