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Course Criteria
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3.00 Credits
Study of wide area connectivity through interconnection networks. Emphasis is on Internet architecture and protocols. Topics include addressing, routing, multicasting, quality of service, and network security. P-CSC 241.
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3.00 Credits
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. P-CSC 222 and 241; or POI.
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3.00 Credits
Numerical methods for solving matrix and related problems in science and engineering. Topics include systems of linear equations, least squares methods, and eigenvalue computations. Beginning knowledge of a high-level programming language is required. Credit is not allowed for both CSC 352 and MTH 326. P-MTH 112, and MTH 121 or MTH 205.
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3.00 Credits
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 CSC 355 and MTH 355. P-MTH 112, and MTH 121 or MTH 205.
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3.00 Credits
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. P-CSC 221 and MTH 111.
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3.00 Credits
Study of software and hardware techniques in computer graphics. Topics include line and polygon drawing, hidden line and surface techniques, transformations, and ray tracing. P-CSC 221 and MTH 121 or MTH 205.
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3.00 Credits
Study of the basic theory and algorithms for image enhancement, restoration, segmentation, and analysis. P-CSC 221 and MTH 121 or MTH 205.
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3.00 Credits
Introduction to problems in artificial intelligence. Knowledge representation and heuristic search in areas such as planning, machine learning, pattern recognition, and theorem proving. P-CSC 222 or POI.
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3.00 Credits
Introduction to bioinformatics and computing techniques essential to current biomedical research. Topics include genome and protein sequence and protein structure databases, algorithms for sequence and structure analysis, and computer architecture and environment considerations. Emphasizes interdisciplinary interaction and communication and includes a project that may use software engineering and project management protocols and requires working a part of an interdisciplinary team. Also listed as PHY 385. P-CSC 121 or POI.
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3.00 Credits
Introduction of concepts and development of skills necessary for comprehension of modern systems biology research problems, including both biological and computational aspects. Topics may include microarrays, protein interaction networks, large-scale proteomics experiments, and algorithms and computational approaches for modeling, storing, and analyzing the resulting data sets. Emphasizes interdisciplinary interaction and communication, includes a project that may use software engineering and project management protocols, and requires working as part of an interdisciplinary team. P-CSC 221 or POI.
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