ADB671 - COMPUTER FORENSICS

Course Name Code Semester Theory
(hours/week)		 Application
(hours/week)		 Credit ECTS
COMPUTER FORENSICS ADB671 Any Semester/Year 3 0 3 8
Prequisites
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
Question and Answer
 
Instructor (s)Assist. Prof. Harun ARTUNER 
Course objectiveThe aim of this course is to teach computer criminal investigations. 
Learning outcomes
  1. 1. Students will be able to define basic concepts of computer criminal investigations. 2. Students will be able to use software libraries for computer criminal investigations and developing software. 3. Students will be able to develop criminal investigations software. Students will be able to conduct research on computer criminal investigations.
Course ContentIntroduction to computer criminal investigations.  
ReferencesMarie-Helen Maras, Computer Forensics: Cybercriminals, Laws, and Evidence, Jones & Bartlett Learning, 2011. 

Course outline weekly

WeeksTopics
Week 1Introduction computer criminal investigations for forensic science
Week 2Computer criminal investigations techniques.
Week 3Large scale computer investigations
Week 4Medium scale computer investigations
Week 5Little ? mobile scale computer investigations
Week 6Project I
Week 7Inspection report techniques
Week 8Case study
Week 9Case study (continued)
Week 10Case study (continued)
Week 11Project II
Week 12Research presentations
Week 13Research presentations
Week 14Research presentations
Week 15Research presentations
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance1410
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments00
Presentation00
Project225
Seminar115
Midterms00
Final exam150
Total100
Percentage of semester activities contributing grade succes050
Percentage of final exam contributing grade succes050
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)9545
Presentation / Seminar Preparation13030
Project000
Homework assignment250100
Midterms (Study duration)000
Final Exam (Study duration) 12020
Total Workload27108237

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Improves knowledge in proficiency level based on the undergraduate level in biology or different disciplines and analyses by using the statistic methods and interprets them.    X
2. Uses theoretical and practical knowledge obtained from his/her field in proficiency level   X 
3. Interprets the knowledge that obtained from his/her field with integrating the acquired knowledge from the other disciplines and comprises new knowledge.    X
4. Sorts out the encountered problems on his/her field by using the investigation methods.   X 
5. Conducts a study which requires specialization in his/her field independently    X 
6. Improves new strategies to solve encountered and unpredictable complex problems in his/her field by taking responsibility    X
7. Evaluates the proficiency level knowledge and skills in his/her field in a critical approach and processes his/her learning.   X 
8. Uses informatics and communication technologies with the computer software required in his/her field    X
9. Has the ability of minding social, scientific, cultural and ethical values in the levels of collecting, interpreting, applying and announcing the data in his/her field.    X
10. Evaluates the important people, events and cases by minding the results, which take in part in the improvement of his/her field.   X 

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest