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| Semester: | Spring 2024 |
| Number: | 0145-620-001 |
| Instructor: | Michael Fernez |
| Days: | TBA |
| Note: | Online, Asynchronous |
| Location: | Online |
| Credits: | 3 |
| Course Meets: | January 23 - March 15 |
| Notes: |
Open Only To Students In The Ms In Computer Science |
| Course Materials: | View Text Books |
| Description: |
Students will learn by combining a theoretical foundation with practical use of commonly used techniques, methods and tools, about digital forensics. Topics include digital evidence collection, as well as evidence analysis and reporting. Students will also address legal and ethical implications of using forensic methods. |
| Learning Goals: |
Students will:1. Master techniques to collect digital evidence using forensically sound practices. This will be assessed by Quiz 1 and assignment 1-4.2. Be able to identify, acquire, and analyze evidence on storage media. This will be assessed by assignments 5-7, and Quizzes 2-3.3. Be able to identify, acquire, and analyze network data. This will be assessed by Quizzes 4-5, and assignment 8, and the final examination.4. Be introduced to the legal and ethical ramifications of using forensics techniques. This will be assessed assignments 9, 10, 11 and the final examination. *The learning goals displayed here are those for one section of this course as offered in a recent semester, and are provided for the purpose of information only. The exact learning goals for each course section in a specific semester will be stated on the syllabus distributed at the start of the semester, and may differ in wording and emphasis from those shown here. |
| Prerequisites: |
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