To support you and your education, BCIT is adapting applied learning in formats appropriate to the unfolding global situation. All PTS classes are being delivered in an online format unless you are notified otherwise.
Students will learn advanced concepts in digital forensic analysis and investigation. The course will cover the investigation and response process from the focus of a computer forensics analyst. Topics include analysis of evidence from computers, networks, and mobile devices; event reconstruction; interpretation of digit evidence; and anti-forensic techniques, including encryption, steganography and rootkit hiding. Throughout this course, extensive hands-on exercises provide the students with practical experience in performing computer forensic investigation in the real world.
This course is for students accepted into the Digital Forensics & Cybersecurity Program. For special approval to register, please contact Raymond Yu at Raymond_Yu@bcit.ca. Students who have been accepted into a Forensics program where this course is a part of the matrix may register without any further approvals. Students who are not currently accepted in a Forensics program or, if this course is NOT part of your program matrix, please contact the Program Assistants for departmental approval at BCIT_Forensics@bcit.ca. For information on Forensic programs and courses, please visit: https://www.bcit.ca/cas/forensics. Due to COVID-19 this course will be offered synchronously online this term, combination of pre-recorded and live sessions.
Upon successful compleltion of this course, the student will be able to:
Collect and analyze network-based forensic evidence.
Recover data and deleted files from a variety of digital devices.
Apply Digital Forensic techniques to investigate network compromise and malware activity.
Discover and analyse information hidden my anti-forensic techniques
Apply legal principles correctly in complex digital investigations.
Effective as of Winter 2018
FSCT 8523 is offered as a part of the following programs:
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