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Course Criteria
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3.00 Credits
Lec 3. Prereq: CSCE 230 and 310. Credit will not count towards a graduate degree in computer science and computer engineering. Organization and structure of operating systems. Control, communication, and synchronization of concurrent processes. Processor and job scheduling. Memory organization and management including paging, segmentation, and virtual memory. Resource management. Deadlock avoidance, detection, recovery. File system concepts and structure. Protection and security. Substantial programming.
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3.00 Credits
Lec 3. Prereq: CSCE 451/851. CSCE 455/855 requires a substantial programming project in distributed systems. Organization and structure of distributed operating systems. Control, communication and synchronization of concurrent processes in the context of distributed systems. Processor allocation and scheduling. Deadlock avoidance, detection, recovery in distributed systems. Fault tolerance. Distributed file system concepts and structure.
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3.00 Credits
Lec 3. Prereq: CSCE 310 or equivalent programming experience. Introduction to the fundamentals of parallel computation and applied algorithm design. Methods and models of modern parallel computation; general techniques for designing efficient parallel algorithms for distributed and shared memory multiprocessor machines; principles and practice in programming an existing parallel machine.
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3.00 Credits
Lec 3. Prereq: CSCE 310 or equivalent programming experience. Introduction to basic concepts of system administration. Operating systems and networking overview. User and resource management. Networking, systems and Internet related security. System services and common applications, Web services, database services, and mail servers. Basic scripting in shell, Perl?, and Expect? Systems administration on UNIX? platform.
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3.00 Credits
Lec 3. Prereq: CSCE 230 and 310; STAT/MATH 380 or STAT 880. Introduction to the architecture of communication networks and the rudiments of performance modeling. Circuit switching, packet switching, hybrid switching, protocols, local and metro area networks, wide area networks and the Internet, elements of performance modeling, and network programming. Network security, asynchronous transfer mode (ATM), optical, wireless, cellular, and satellite networks, and their performance studies.
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3.00 Credits
Lec 3. Prereq: CSCE 310. Paradigms, systems, and languages for Internet applications. Client-side and server-side programming, object-based and event-based distributed programming, and multi-tier applications. Coverage of specific technologies varies.
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3.00 Credits
Lec 3. Prereq: CSCE 310 or permission. Initial and ongoing software analysis, including metrics, requirements, correctness, performance, testing and validation. Frameworks and methods for software quality. Benchmarks and testing, processes for quality assurance, performance and quality models, software quality tools, testable designs and automated testing.
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3.00 Credits
Lec 3. Prereq: CSCE 310 and MATH 314/814. Display and recording devices; incremental plotters; point, vector, and character generation; grey scale displays, digitizers and scanners, digital image storage; interactive and passive graphics; pattern recognition; data structures and graphics software; the mathematics of three dimensions; homogeneous coordinates; projections and the hidden-line problem.
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3.00 Credits
Lec 3. Prereq: CSCE 310; STAT/MATH 380 or STAT 880. Fundamentals and trends in bioinformatics. Scoring matrices and pairwise sequence alignments via dynamic programming, BLAST, and other heuristics. Multiple sequence alignments. Applications of machine learning methods such as hidden Markov models and support vector machines to biological problems such as family modeling and phylogeny.
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3.00 Credits
Lec 3. Prereq: CSCE 156 or permission. Digital imaging systems, digital image processing, and low-level computer vision. Data structures, algorithms, and system analysis and modeling. Digital image formation and presentation, image statistics and descriptions, operations and transforms, and system simulation. Applications include system design, restoration and enhancement, reconstruction and geometric manipulation, compression, and low-level analysis for computer vision.
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