Study guide of JKU Linz
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Overview
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KUSSS
Auwea NG
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Computer Science
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Complementary Subject
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Electives
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General Electives
Inhalt
[
921CGELCILU22
]
UE
Computer Forensics and IT Law
Versionsauswahl
Version
2025W
2022W
Workload
Education level
Study areas
Responsible person
Hours per week
Coordinating university
1,5 ECTS
M1 - Master's programme 1. year
Computer Science
Michael Sonntag
1 hpw
Johannes Kepler University Linz
Detailed information
Original study plan
Master's programme Computer Science 2025W
Learning Outcomes
Competences
Students can perform forensic investigations on selected topics/scenarios and write a report on the results.
Skills
Knowledge
Creating and using hash libraries and assess their limitations (K5)
Breaking hashes (K3)
Analyzing website privacy polices (K5)
Employ tools for investigating Windows systems (K4)
Extract data about web-browsing and creating a timeline (K4)
Create a memory dump and extract cryptographic keys from it to unlock an encrypted partition (k3)
Analyze a network dump for activity and extract unencrypted data (K4)
How to implement the procedures from the accompanying lecture
Examples of tools available for selected analysis tasks
Criteria for evaluation
Written report on the practical work
Methods
Practical work according to demonstration and under supervision/help during the course
Language
English
Study material
Slides Scenario data and virtual machines
Changing subject?
No
Further information
Requires prior/simultaneous attending the lecture!
For further information see
https://www.jku.at/institut-fuer-netzwerke-und-sicherheit/
On-site course
Maximum number of participants
35
Assignment procedure
Direct assignment