Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
RESEARCH METHODS, TECHNIQUES AND PUBLICATION ETHICS IN COMPUTER FORENSICS 55498021 2 + 2 3.0 9.0

Prerequisites None

Language of Instruction Turkish
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery Lecture, Discussion, Presentation, Question and Answer
Course Coordinator
Instructors Refik SAMET
Assistants
Goals To teach students the ethical rules, duty, authority, responsibility and working methods that should be observed in activities such as making scientific research, producing publications and information, using, storing and sharing data using computer and internet.
Course Content Basic Concepts and Definitions, Science System, Scientific Research and Researcher, Scientific Research Process, Data Collection, Analysis of Data, Writing and Publication Technique, Scientific Ethics
Learning Outcomes 1) To learn the basic principles of making scientific research, producing publications and information, using, storing and sharing of data using computer and internet.
2) When conducting scientific research, students will act with the awareness of responsibility and ethical rights / copyrights required by ethical rules while producing, using, storing, sharing of data using computer and internet.
3) Students will learn the activities contrary to the act of making scientific research, producing publications and information, using, storing and sharing of data using computer and internet.
4) Students conduct resource research to access the information, use databases and other information sources, evaluate the accuracy and update of the information obtained from different sources.
5) Analyze the problems related to the field by using research methods.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Basic Concepts and Definitions Lecture; Question Answer; Discussion

Presentation (Including Preparation Time) Project (Including Preparation and presentation Time) Report (Including Preparation and presentation Time)
2. Week Science System Lecture; Question Answer; Discussion

Presentation (Including Preparation Time) Project (Including Preparation and presentation Time) Report (Including Preparation and presentation Time)
3. Week Scientific Research and Researcher Lecture; Question Answer; Discussion

Presentation (Including Preparation Time) Project (Including Preparation and presentation Time) Report (Including Preparation and presentation Time)
4. Week Scientific Research Process Lecture; Question Answer; Discussion

Presentation (Including Preparation Time) Project (Including Preparation and presentation Time) Report (Including Preparation and presentation Time)
5. Week Data collecting Lecture; Question Answer; Discussion

Presentation (Including Preparation Time) Project (Including Preparation and presentation Time) Report (Including Preparation and presentation Time)
6. Week Data collecting Lecture; Question Answer; Discussion

Presentation (Including Preparation Time) Project (Including Preparation and presentation Time) Report (Including Preparation and presentation Time)
7. Week Analysis of Data Lecture; Question Answer; Discussion

Presentation (Including Preparation Time) Project (Including Preparation and presentation Time) Report (Including Preparation and presentation Time)
8. Week Analysis of Data Lecture; Question Answer; Discussion

Presentation (Including Preparation Time) Project (Including Preparation and presentation Time) Report (Including Preparation and presentation Time)
9. Week Writing and Publication Technique Lecture; Question Answer; Discussion

Presentation (Including Preparation Time) Project (Including Preparation and presentation Time) Report (Including Preparation and presentation Time)
10. Week Writing and Publication Technique Lecture; Question Answer; Discussion

Presentation (Including Preparation Time) Project (Including Preparation and presentation Time) Report (Including Preparation and presentation Time)
11. Week Scientific Ethics Lecture; Question Answer; Discussion

Presentation (Including Preparation Time) Project (Including Preparation and presentation Time) Report (Including Preparation and presentation Time)
12. Week Scientific Ethics Lecture; Question Answer; Discussion

Presentation (Including Preparation Time) Project (Including Preparation and presentation Time) Report (Including Preparation and presentation Time)
13. Week Presentations Question Answer; Discussion

Presentation (Including Preparation Time)
14. Week Presentations Question Answer; Discussion

Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
10. TÜBİTAK Araştırma ve Yayın Etiği Kurulu Yönetmeliği.
8. Fred Feldman, Etik Nedir? Boğaziçi Üniversitesi Yayınevi, 2016.
9. Yükseköğretim Kurulu Bilimsel Araştırma ve Yayın Etiği Yönergesi.
1. Guidelines for Research Ethics in Science and Technology, Prepared by The National Committee for Research Ethics in Science and Technology (NENT), 2007.
2. The Handbook of Information and Computer Ethics, Edited by Kenneth Einar Himma and Herman T. Tavani, Published by John Wiley & Sons, Inc., Hoboken, New Jersey, 2008.
3. Reynolds, G. W., Ethics in information technology (5th ed.), Boston, MA: Cengage Learning, 2014.
4. Lita van Wel and Lamb`er Royakkers, Ethical issues in web data mining, Ethics and Information Technology, Kluwer Academic Publishers, Vol. 6, pp. 129–140, 2004.
5. The Cambridge Handbook of Information and Computer Ethics, Edited by Luciano Floridi, Cambrıdge.
6. İsmet Daşdemir, Bilimsel Araştırma Yöntemleri, NOBEL Akademik Yayıncılık Eğitim Danışmanlık Tic. Ltd. Şti. 2016.
7. Hüseyin ÇAKIR, İnternet, Etik ve Bilişim Suçları, Eğitimciler için Bilgisayar Eğitimi isimli kitabın 4. Bölümü, 2013.

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3DK4DK5
PY1544444
PY2500000
PY3544444
PY4500000

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 4
Work Hour outside Classroom (Preparation, strengthening) 14 4
Presentation (Including Preparation Time) 1 25
Project (Including Preparation and presentation Time) 1 30
Report (Including Preparation and presentation Time) 1 30
Activity (Web Search, Library Work, Trip, Observation, Interview etc.) 1 30
Final Exam 1 2
Time to prepare for Final Exam 1 30
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information