| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Forensic Informatics | YZM410 | Elective | Bachelor's degree | 4 | Spring | 5 |
Name of Lecturer(s)
Assistant Prof. Dr. İrfan KÖSESOY
Learning Outcomes of the Course Unit
1) Understands the importance of a systematic procedure for investigating data in digital storage media that can provide evidence.
2) Understands the file system storage mechanisms of two operating systems (Microsoft Windows and LINUX versions).
3) It uses tools to reliably protect data on disks for analysis purposes.
4) Finds data that can be open or hidden on a computer disk.
5) Learns the use of forensic tools used in data analysis such as searching, disk sector viewing and editing, file recovery, password cracking.
6) Understands how the results of disc data analysis will be presented as an expert in court proceedings.
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | ||
| Learning Outcomes | |||||||||||||
| 1 | High | Middle | Low | Low | No relation | Middle | High | Middle | Low | Middle | Middle | Middle | |
| 2 | Low | Middle | Low | Middle | Middle | Middle | High | Middle | Low | Low | Middle | High | |
| 3 | Low | Middle | High | Low | Middle | High | High | High | Low | Low | Low | Low | |
| 4 | Middle | Low | No relation | Middle | Low | Low | High | High | Middle | Low | Middle | High | |
| 5 | Middle | Low | Low | Middle | Low | Low | High | High | Middle | Low | Middle | High | |
| 6 | No relation | Low | Low | Low | Middle | Low | Middle | Middle | Middle | High | Middle | Middle | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
Introduction to IT crime, forensic information technology, data recovery of disk and file system, evidence collection, ownership verification, data validation, storage and protection, identification and authentication, Windows, Linux, Mac-OS architecture, the analysis of the file structure, network analysis, autonomous system analysis, forensics methodologies, algorithms, protocols and tools, the latest developments in my forensic informatics.
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
1) Lecture
2) Lecture
3) Lecture
4) Lecture
5) Lecture
6) Question-Answer
7) Question-Answer
8) Question-Answer
9) Question-Answer
10) Question-Answer
11) Discussion
12) Discussion
13) Discussion
14) Discussion
15) Discussion
16) Drill and Practice
17) Drill and Practice
18) Drill and Practice
19) Drill and Practice
20) Drill and Practice
21) Problem Solving
22) Problem Solving
23) Problem Solving
24) Problem Solving
25) Problem Solving
26) Project Based Learning
27) Project Based Learning
28) Project Based Learning
29) Project Based Learning
30) Project Based Learning
Assessment Methods and Criteria
Contribution of Semester Studies to Course Grade |
40% |
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Contribution of Final Examination to Course Grade |
60% |
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Total | 100% | |||||||||||
Language of Instruction
Turkish
Work Placement(s)
Not Required