ADB772 - SPECIAL TOPICS IN FORENSIC ENGINEERING
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| SPECIAL TOPICS IN FORENSIC ENGINEERING | ADB772 | Any Semester/Year | 3 | 2 | 3 | 9 |
| Prequisites | ||||||
| Course language | Turkish | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Discussion Question and Answer | |||||
| Instructor (s) | Assist. Prof. Harun ARTUNER | |||||
| Course objective | The Concept of Digital Forensic Science and Connection of Forensic Science Disciplines: An overview of forensic science disciplines composing forensic sciences such as Computer Forensic, Data Analysis Forensics, Data Mining Forensics, Mobile Devices Forensics, Network Forensics, Picture and Video Analysis Forensics, Sound Analysis Forensics. | |||||
| Learning outcomes |
| |||||
| Course Content | Deal with all areas that underlying of the program. Explaining of the basic concepts, everybody who will work in this field, will be explained to other developments in that what happening with the exception of their field of expertise. | |||||
| References | 1. Greg Gogolin. 2012, Digital Forensics Explained. Auerbach Publications. 2. Andrew Jones, 2008, Craig Valli, Building a Digital Forensic Laboratory: Establishing and Managing a Successful Facility, Syngress. | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Digital Forensics History |
| Week 2 | Computer Forensics |
| Week 3 | Computer Forensics (cont.) |
| Week 4 | Digital Data Analysis Forensics |
| Week 5 | Digital Data Analysis Forensics (cont.) |
| Week 6 | Data Mining Forensics |
| Week 7 | Mobile Device Forensics |
| Week 8 | Network Forensics |
| Week 9 | Network Forensics (cont.) |
| Week 10 | Picture and Video Analysis Forensics |
| Week 11 | Picture and Video Analysis Forensics (cont.) |
| Week 12 | Sound Analysis Forensics |
| Week 13 | Forensic Engineering Tools |
| Week 14 | Forensic Engineering Open Source Tools |
| Week 15 | Preportion for final exam |
| Week 16 | Final exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 3 | 15 |
| Presentation | 1 | 15 |
| Project | 1 | 20 |
| Seminar | 0 | 0 |
| Midterms | 0 | 0 |
| Final exam | 1 | 50 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 0 | 50 |
| Percentage of final exam contributing grade succes | 0 | 50 |
| Total | 100 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 11 | 154 |
| Presentation / Seminar Preparation | 1 | 10 | 10 |
| Project | 1 | 7 | 7 |
| Homework assignment | 3 | 5 | 15 |
| Midterms (Study duration) | 0 | 0 | 0 |
| Final Exam (Study duration) | 1 | 20 | 20 |
| Total Workload | 34 | 56 | 248 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. Based on the graduate level proficiency improves and deepens the actual and advanced knowledge with original thought and/or research in the level of specialty. | X | ||||
| 2. Comprehends interdisciplinary interaction related with his/her field; performs analysis and synthesis of the new and complex ideas and reaches the original results by using expert knowledge in assessment. | X | ||||
| 3. Evaluates and uses knowledge with systematic approach in his/her field; makes critical analysis, synthesis, and assessment of knowledge and transfer it. | X | ||||
| 4. Develops a new idea, method, design and/or application for innovation in his/her field or performs a known idea, method, design and/or application to a different field. Researches an original subject; comprehends, designs, adapts and implements them | X | ||||
| 5. Possesses the high level skills in using research methods in his/her field | X | ||||
| 6. Publishes at least one article related with his/her field in national or international academic journals. | X | ||||
| 7. Works in situation, which requires to solving original and interdisciplinary problems | X | ||||
| 8. Develops new ideas and methods related to his/her field using upper level intellectual processes such as innovative and critical thinking, solving problems and enacting. | X | ||||
| 9. Makes a scientific research at national or international academic groups | X | ||||
| 10. Contributes the solution of the social, scientific, cultural and ethical problems in his/her field and supports the improvement of these values | X | ||||
| 11. Presents the scientific and technologic progresses in his/her field, contributes the processes of being an information society where he/she lives and continuation of this. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest