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Course Criteria
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3.00 Credits
Comparing different modern computer systems architecture and investigating their performances. Topics include: parallel computer systems, pipelining techniques, vector processor arrays, multiprocessor systems, data flow machines and fault-tolerant computer systems.
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3.00 Credits
A study of parallel constructs for providing experiences in designing and analyzing parallel algorithms.
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3.00 Credits
A study of UNIX interprocess communication protocols and how they can be used in programs.
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3.00 Credits
An in-depth study of the structures and principles of broadband networks. Major concepts and principles are explained along with their mathematical analysis.
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3.00 Credits
An introduction to optical networks, their principles and systems, an understanding of the construction and organization of optical networks along with an in-depth study of the structures and requirements of lightwave- coherent systems. Major concepts and principles are covered along with their mathematical analysis.
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3.00 Credits
A study of distributed database architectures and system design, semantic data control, query processing, transaction management, concurrency control, distributed DBMS reliability, parallel DB systems, distributed object DB management systems, and database interoperability.
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3.00 Credits
Advanced topics in algorithm design and analysis and data structures for implementing these algorithms. Problems considered from areas of information storage and retrieval, graph theory, cryptology and parallel processing.
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3.00 Credits
The application of concepts and techniques from information science, statistics, visualization, artificial intelligence, and machine learning for the purposes of extracting, integrating, and visualizing information and knowledge from large databases.
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3.00 Credits
Data warehouse design principles and technical problems inherent in complex industrial implementations using commercial software. Possible topics include: an introduction to data warehousing, multidimensional data modeling, data warehouse architectures, data warehouse design and implementations, development of data cube technology, organizing data warehousing projects, from data warehousing to data mining.
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3.00 Credits
Advanced design and implementation of large-scale Internet applications through the use of high and low level programming constructs. Possible topics include: client side scripting languages, middle-tier programming languages, middle-tier transaction servers, server-side data access, server-side scripting/programming, integrating applications within a network cluster, internet protocols and socket programming.
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