| SYLLABUS | |||||||||||||||
| University: Technical University of Košice | |||||||||||||||
| Faculty: Faculty of Electrical Engineering and Informatics | |||||||||||||||
| Department: Department of Computers and Informatics |
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| 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 |
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| 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 |
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| Level of study: | |||||||||||||||
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| 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) |
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| 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 |
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| 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 |
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| 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 |
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| Recommended optional program components: |
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| Languages required for the course completion: | |||||||||||||||
| Notes: | |||||||||||||||
| Course assessment: Total number of students assessed: 0 |
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| A | B | C | D | E | FX | ||||||||||
| 0% | 0% | 0% | 0% | 0% | 0% | ||||||||||
| Teacher: doc. Ing. Anton Baláž, PhD. |
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| Last modified: 01.09.2022 | |||||||||||||||
| Approved by: person(s) responsible for the study program | |||||||||||||||