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Course Criteria
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3.00 Credits
Prerequisites: Calculus, linear algebra, probability, statistics and a compiler language. Introduction to the basic concepts of pattern classification including Bayes decision theory, parametric and non-parametric techniques, linear discriminant functions and clustering. Laboratory instruction.
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3.00 Credits
Prerequisites: CSCI 4534, familiarity with C and UNIX system calls. Study of current methodologies used in the design of distributed operating systems including issues related to the design of distributed file systems, interprocess communication and synchronization facilities, process, processor and memory management within the context of distributed operating systems. Case studies and review of current literature. Basic introduction to network programming and its application to the design of a simplified component of a distributed operating system. Laboratory instruction.
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3.00 Credits
Prerequisite: Calculus, linear algebra, probability statistics and a compiler language. An introduction to basic concepts and techniques for digital image processing, including software and hardware techniques for statistical pattern recognition and extracting useful information from pictures by automatic means. Laboratory instruction.
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3.00 Credits
Prerequisites: CSCI 5333. Distributed transparency, distributed data base design, distributed query processing, distributed concurrency control and recovery, distributed DBMS. Laboratory instruction.
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3.00 Credits
Prerequisite: CSCI 5431 or CSCI 5531. Principles and issues related to the development of interface based software components as the foundation for developing Service Oriented Architecture (SOA). Topics include interface definition and design, language integration (VB, C#, C++ and Java), concurrency and threading issues, type libraries, distributed components, call backs and persistence.
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3.00 Credits
Prerequisite: CSCI 4230 and CSCI 4333. Principles of design and implementation of web database systems for storing, updating and retrieving data on the web: web database development techniques, database modeling, SQL development, web database connectivity, web database application programming, scripting languages, exchanging data with XML, user authentication, user tracking, session management, e-commerce and web database administration will be covered. Laboratory instruction.
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3.00 Credits
Prerequisite: Background in computer architecture and programming. Integrated discussion of the software and hardware design issues involved in parallel processing. Laboratory instruction.
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3.00 Credits
Prerequisite: CSCI 3134,CSCI 4230. XML standards including XML, DTD, DOM, XSL, XSLT, Xpath, Xpointer and XML Schema. XML related technologies including XML parsers, JAXP, XSL parsers, XML servers, XML databases, SOAP and Web services. Laboratory instruction.
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3.00 Credits
No course description available.
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3.00 Credits
Prerequisite: CSCI 3333 and CSCI 4333. Overview of the data mining process (e.g. CRISP-DM) including issues of data cleansing and data modeling. Characterization of data (structured, unstructured, time series). Examination of machine learners (neural networks, genetic programs). Critique of various data mining tools regarding functionality and application. Assessment of data mining domains using financial, bioinformatics and web-based repositories. CSCI 5333 recommended.
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