GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
FORENSIC EXPERT WITNESS IN INFORMATICS/5161311
Course Title: FORENSIC EXPERT WITNESS IN INFORMATICS
Credits 3 ECTS 8
Semester 1 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Asst.Prof.Dr. İbrahim ERMENEK
 -- WEB SITE(S) OF LECTURER(S)
  
 -- EMAIL(S) OF LECTURER(S)
  
 -- LEARNING OUTCOMES OF THE COURSE UNIT
The students know the essential properties of the branches of judgement and how the court expert system work in under these properties. They also know
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week   Digital Forensic and the İmportance of Court Expert in Digital Forensic
2. Week  Who is the Expert? The Obligation of Court Expert
3. Week   Evidence Systems and Court Experts – Referee Experts
4. Week  Experts in Seperate Branches of Judgement
5. Week  Court Expert in Criminal and Administrative Jursidiction
6. Week   Court Expert in Civil Jurisdiction
7. Week  İs Consultation to Expert Compulsory?
8. Week   Mid Term
9. Week   Election of the Expert and Legal Characteristics of the Election
10. Week  Expert Report
11. Week  The Remedies Against the Reports of Experts and the Conclusions of These Remedies
12. Week  Consideration of the Experts Report
13. Week   Responsibility of the Expert
14. Week   Final Term
15. Week  
16. Week  
 -- RECOMMENDED OR REQUIRED READING
  Adli Bilişim, Dr. Leyla KESERBERBER BİLİRKİŞİNİN SORUMLULUKLARI GÖREV VE YETKİLERİ, Prof.Dr.Süha TANRIVER
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Anlatım, Question & Answer
 -- WORK PLACEMENT(S)
  -
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
30
 Assignment
0
0
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
30
 Contribution of Final Examination to Overall Grade  
70
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
16
3
48
 Practising Hours of Course Per Week
0
 Reading
12
3
36
 Searching in Internet and Library
12
3
36
 Designing and Applying Materials
0
 Preparing Reports
1
6
6
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
1
10
10
 Final and Studying for Final
1
12
12
 Other
6
8
48
 TOTAL WORKLOAD: 
196
 TOTAL WORKLOAD / 25: 
7.84
 ECTS: 
8
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Can use theoretical and practical knowledge at the level of expertise acquired in the field.X
2Can analyse the problems related to the field by using research methods.X
3Can systematically pass on up-to-date advancements in the field of Forensic Computing and his or her own work supported by quantitative and qualitative data to the groups related and/or unrelated to the field, written, verbal and graphically.X
4Can use advanced level of informatics and communication technologies with computer software at the required level in the field of Forensic Computing.X
5Adopts life-long learning principle, is open to innovation, participates actively in the development of himself/herself and the institution.X
6Able to use foreign languages at the level required to monitor the foreign resources about Forensic Computing and to communicate with colleagues (European Language Portfolio Global Scale, Level B2).X
7Can criticise the knowledge and skills at the level of expertise acquired in the field and direct his/her learning in the appropriate way.X
8Operates actively as an individual and among interdisciplinary groups.X
9Conducts resource searching in order to acquire information, uses databases and other information resources, evaluates the validity and actuality of information acquired through different resources.X
10Can control the stages of collection, interpretation, application and dissemination of data related to the field of Forensic Computing with respect to social, scientific, cultural and ethical values and can teach these values.X
11Can develop strategy, politics and application plans related to the field of Forensic Computing and can evaluate the results within perspectives of quality processes.X
12Can use the knowledge, problem solving and/or application skills absorbed in the field of Forensic Computing at an interdisciplinary practice.X
13Determines and defines the problems about the field of Forensic Computing, designs relative solutions, selects and applies the appropriate analytical methods and modeling techniques for the purpose.X
14Follows and applies the innovative approaches about the field.X