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| CSC 5220 - Data Mining/Machine Learning |
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Prerequisite: C or better in CSC 2400. Basic concepts of reverse engineering and general techniques used for reverse engineering. Reverse engineering applied to basic static and dynamic analysis of
executables, and hands-on exercises using software analysis tools and best practices. Additional
topics may include the study of malware behavior and techniques that malware uses to thwart
detection and analysis.
3.000 Credit hours 3.000 Lecture hours Levels: Doctoral, Specialist in Education, Graduate, Undergraduate Schedule Types: Lecture Computer Science Department Restrictions: Must be enrolled in one of the following Levels: Specialist in Education Graduate Doctoral Prerequisites: Prereq for CSC 5220 General Requirements: ( Course or Test: CSC 2400 Minimum Grade of C May not be taken concurrently. and Course or Test: CSC 3220 Minimum Grade of C May not be taken concurrently. ) |
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