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Fall 2017 Semester
Sep 26, 2017
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Information Select the desired Level or Schedule Type to find available classes for the course.

IA 5050 - Data Mining in Cyberspace
Focuses on the basics of the technical, legal, social, and ethical issues implicit in commercial data mining ventures. Introduces the key concepts of data science with specific emphasis on applications in information assurance and the ethical treatment of privacy in data mining. Centers on principles and methods covering the process from envisioning the problem to applying data science techniques to deploying the results to improve information assurance. Topics include an introduction of canonical data mining tasks, spam and fraud detection, Sybil attacks, privacy in data mining, privacy in social networks, and management of information assurance in data science projects. Preq. Restricted to students in the College of Computer and Information Science and in the College of Engineering or by permission of instructor.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Information Assurance Department

Course Attributes:
GSCS Information Assurance

Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate
Must be enrolled in one of the following Colleges:     
      College of Engineering
      Coll of Computer & Info Sci

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