Page 210 - Bowie State University Graduate Catalog 2018-2020.
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include data preparation, association rules, classification, clustering, scalability,
          time-series analysis and prediction, data mining applications, etc.

          COSC   635    ADVANCED WIRELESS SECURITY
          Prerequisites: COSC 535
          Credits: 3
          This course covers wireless networking security at the graduate level. Students
          will achieve a solid understanding of wireless networking, security issues in
          wireless networks and how to mitigate the associated risks. At the completion
          of the course, students will have a thorough understanding of how to better
          secure various networks such as, ad hoc wireless networks, sensor networks
          and mobile wireless networks.
          COSC  641    NUMERICAL ANALYSIS II
          Prerequisites: COSC 541
          Credits: 3
          This course is a continuation of COSC 541. The topics include numerical
          differentiation and integration; the solution of initial value and boundary
          ordinary differential equations; methods of solving nonlinear systems of
          equations; other topics as time permits.

          COSC  645    APPLIED CRYPTOGRAPHY
          Prerequisites: COSC 535
          Credits: 3
          This course teaches students some of the basic paradigms and principles of
          modern cryptography and their applications.  After mathematical preliminaries
          from algebra and number theory, we will explore the following topics in the
          field:  foundations of cryptography, public key cryptography, pseudorandom
          generators, elliptic curve cryptography, and fundamental limits to information
          operations.

          COSC 650   PATTERN RECOGNITION I
          Prerequisites:  COSC 528
          Credits:  3
          This course provides students with an introduction to the statistical inference
          theory that is fundamental to the area of pattern recognition and computer
          vision.  The main topics include Baye classification, construction of linear
          classifiers, parameter estimation and nonparametric estimation of probability
          density functions, classifiers evaluation and feature selection.

          COSC  661    COMPILER DESIGN AND CONSTRUCTION II

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