Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
VIRTUAL FORENSIC ANTHROPOLOGY ANT5602019 3 + 0 3.0 6.0

Prerequisites None

Language of Instruction Turkish
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors
Assistants
Goals The goal of the virtual anthropology course is to introduce students to the concepts, methods, and applications of virtual technologies in the field of forensic anthropology. The course aims to provide students with a comprehensive understanding of how virtual environments, digital tools, and imaging technologies can be utilized to study and represent anthropological subjects, such as human skeletal remains.
Course Content This course explores the intersections between forensic anthropology and virtual technology. We will examine how the virtual world has influenced forensic anthropological research and practice, and how anthropological concepts can inform the development of virtual technologies. Students will engage with a range of theoretical and practical materials to develop a critical understanding of the ways in which virtuality is transforming the field of forensic anthropology.
Learning Outcomes 1) Understands the fundamental principles and theoretical foundations of virtual anthropology.
2) Gains knowledge of various virtual technologies, including 3D modeling, virtual reality, and computational methods.
3) Develops skills in using virtual tools and imaging techniques to analyze and interpret anthropological data.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Definition and history of virtual anthropology Lecture; Question Answer
Brainstorming
Brain Based Learning
Homework Presentation (Including Preparation Time)
2. Week Overview of the use of virtual technologies in forensic anthropology Lecture
Brainstorming
Brain Based Learning
Presentation (Including Preparation Time)
3. Week The importance of virtual anthropology for forensic anthropological research Lecture
Brainstorming
Brain Based Learning
Presentation (Including Preparation Time)
4. Week Human Identification Using Virtual Technology Lecture
Brainstorming
Brain Based Learning
Presentation (Including Preparation Time)
5. Week Virtual Skeletal Analysis Techniques Lecture
Brainstorming
Brain Based Learning
Presentation (Including Preparation Time)
6. Week Virtual Reconstruction of Crime Scenes-I Lecture
Brainstorming
Brain Based Learning
Presentation (Including Preparation Time)
7. Week Virtual Reconstruction of Crime Scenes-II Lecture
Brainstorming
Brain Based Learning
Presentation (Including Preparation Time)
8. Week Virtual Forensic Anthropology in the Courtroom Lecture
Brainstorming
Brain Based Learning
Presentation (Including Preparation Time)
9. Week Virtual Anthropology and Disaster Victim Identification Lecture
Brainstorming
Brain Based Learning
Presentation (Including Preparation Time)
10. Week Virtual Anthropology Techniques for Identifying Missing Persons Lecture
Brainstorming
Brain Based Learning
Presentation (Including Preparation Time)
11. Week Virtual Anthropology Techniques for Investigating Mass Graves Lecture
Brainstorming
Brain Based Learning
Presentation (Including Preparation Time)
12. Week Comparison of Virtual and Traditional Facial Recognition Techniques Lecture
Brainstorming
Brain Based Learning
Presentation (Including Preparation Time)
13. Week Ethical Considerations in Virtual anthropology Lecture
Brainstorming
Brain Based Learning
Presentation (Including Preparation Time)
14. Week Legal Considerations in Virtual anthropology Lecture
Brainstorming
Brain Based Learning
Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
Blitzer, H. L., Stein-Ferguson, K., & Huang, J. (2010). Understanding forensic digital imaging. Academic Press.
Garwood, R., Sutton, M., & Rahman, I. (2014). Techniques for virtual palaeontology. John Wiley & Sons.
Weber, G. W., & Bookstein, F. L. (2011). Virtual anthropology: a guide to a new interdisciplinary field (p. 423). Wien: Springer.

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3
PY45555
PY45555
PY55555
PY65555
PY75555
PY85555
PY105555
PY115555
PY145555
PY185555

*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 3
Work Hour outside Classroom (Preparation, strengthening) 14 8
Homework 1 5
Final Exam 1 2
Time to prepare for Final Exam 1 15
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information