SYLLABUS
University: Technical University of Košice
Faculty: Faculty of Electrical Engineering and Informatics
Department: Department of Computers and Informatics
Course Number: 26001198 Course Name: Forensic analysis
Type, scope and method of learning activities:
Course Type: Lecture, Laboratory exercise
Recommended scope of the course content (in hours):
Full-time study (hours per week): 2,2
Part-time study (hours per semester): 26,26
Study Method: Attendance
Number of credits: 6
Recommended semester of study: WT
Recommended semester Study programme Study grade Study Method
2.rok WT Cybersecurity (KB_Ing_D_sk)
Informatics (INF_Ing_D_sk)
Informatics (INF_Ing_D_en)
Master
Master
Master
Attendance
Attendance
Attendance
Level of study:
Prerequisites:
Course completion requirements:
Assessment and completion of the course: Credit test and examination
Continuous assessment: Student passes the continuous assessment and receives credits when he or she meets the requirement to obtain at least 21% out of 40%.
Credit test
Final assessment: Student passes the final assessment and passes the examination when he or she meets the requirement to obtain at least 31% out of 60%.
Examination
Overall assessment: Overall assessment is the sum of the assessments obtained by students in the assessment period. The overall result is determined in accordance with the internal regulations of the Technical University in Košice. (Study Regulations, the internal regulation principles of doctoral studies)
Learning outcomes:
Computer forensic analysis aims to prepare all necessary relevant material for further investigating computer crime. Cybercrime includes:
• Hacker intrusions (both Internet and Intranet attacks from the inside)
• Spreading and launching computer vortices and worms
• Damage to the organization's network services
• Financial fraud
• Theft of intellectual property
Brief course content:
1. Process of forensic analysis
2. File systems
3. Analysis of operating systems
4. Data collection
5. Network analysis
6. SRBD analysis
7. Cloud forensic analysis
8. Analysis of electronic mail
9. Result of forensic analysis
Recommended Reference Sources:
1. Brian Carrier - File System Forensic Analysis
2. Harlan Carvey - Windows Forensic Analysis Toolkit
3. Michael Hale Ligh, et. - The Art of Memory Forensics: Detecting Malware and Threats in Windows, Linux, and Mac Memory
Recommended optional program components:
Languages required for the course completion:
Notes:
Course assessment:
Total number of students assessed: 0
  A B C D E FX  
  0% 0% 0% 0% 0% 0%  
Teacher:
doc. Ing. Anton Baláž, PhD.
Last modified: 01.09.2022
Approved by: person(s) responsible for the study program