Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
IMAGE TECHNIQUES IN ANTHROPOLOGICAL APPLICATIONS ANT5702013 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 General skeletal samples; In order to visualize microscopic, macro and large areas and to calculate image size, basic photography techniques, bright and dark room, digital photography are given. In addition, scientific articles, preparation of digital and opaque books, and techniques of transferring the obtained images are explained.
Course Content 1.Basic photography a. Body and its types b. Lens and its types 2. Basic photography a. What is ISO? b. Depth of field (Wide and Shallow) in image c. Sharpness 3. Basic photography a. Applications of depth of field (Wide and Shallow) in an image b. Iso Applications c. Lenses and applications 4. Photography sharing topics a. image acquires in skeleton samples b. shots in other objects 5. Use of backgrounds (color and material) according to skeleton samples 6. Macro (close-up) photography 7. Digital photo and an image measure size 8. Morphological microscope (high magnification stereo microscope) and high-scale imaging 9. Labeling of micro photography and skeletal samples 10. Dark room and its application 11. Bright room (Lightroom application) 12. Basic image processing techniques with Photoshop etc. 13. Processing of skeleton shooting samples (crop and color correction) 14. Collage of label and size measurements of digital skeleton samples
Learning Outcomes 1) Has the knowledge and skills to develop and deepen the basic knowledge of photography at the level of expertise in anthropological skeleton samples.
2) Has the knowledge and skills to use basic photography techniques in anthropological researches and applications.
3) Using the actual size of the image obtained in scientific articles to measure the image size and image-based information from the image can be obtained.
4) Using the photograph and the data obtained from the microphotograph, it can reveal the difference between the skeletal materials based on measurement.
5) Can work independently based on photographic measurement.
6) They can access to and use the sources of image processing techniques and presenting them.
7) Develop a positive attitude towards lifelong learning with the knowledge and skills acquired in the visualization of the anthropological skeleton samples

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Basic Photography; a. Body and its types, b. Lens and its types Lecture; Question Answer
Colloquium
Brain Based Learning 		Presentation (Including Preparation Time)
2. Week Basic Photography; a. What is ISO, b. Depth of field in image, c. Sharpness Lecture; Question Answer; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
3. Week Basic photography; a. Applications of depth of field (Wide and Shallow) in an image, b. Iso Applications, c. Lenses and applications Lecture; Question Answer; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
4. Week Photography sharing topics; a. image aqcuires in skeleton samples, b. shots in other objects Lecture; Question Answer; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
5. Week Use of backgrouds (color and material) according to skeleton samples Lecture; Question Answer; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
6. Week Macro (close-up) photography Lecture; Question Answer; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
7. Week Digital photo and an image measure size Lecture; Question Answer; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
8. Week Morphological microscope (high magnification stereo microscope) and high-scale imaging Lecture; Question Answer; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
9. Week Labeling of micro photography and skeletal samples Lecture; Question Answer; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
10. Week Dark room and application Lecture; Question Answer; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
11. Week Bright room (Lightroom application) Lecture; Question Answer; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
12. Week Basic image processing techniques with Photoshop etc. Lecture; Question Answer; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
13. Week Skeleton shooting samples processing (crop and color correction) preparation for publication Lecture; Question Answer; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
14. Week Collage of label and size measurements of digital skeleton samples in collage Lecture; Question Answer; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
A.Fazıl, 1994. Genel Fotoğraf Bilgileri. İnkılap Kitapevi, İstanbul.
A.V.Kuvanlık, 2005. Fotoğraflar. Uzerler Matbaacılık, ISBN. 975-95330-1-4, Ankara.
F. Hunter, S. Biver and P. Fuqua. 2007. Light–Science & Magic. Elsevier 3.Edition.301p.
G.Ertan. 1994. Fotoğraf Terimleri Sözlüğü. AFA Yayınları, İstanbul.
J.Hedgecoe, 2003.The New Manuel of Photography, DK, London.
R.Greenhill, M.Murray, J.Spence, 1998. Fotoğraf Sanatı. Remzi Kitabevi, İstanbul.

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3DK4DK5DK6DK7
PY455555555
PY653333333
PY754444444
PY955555555
PY1054444444

*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 5
Homework 4 5
Midterm Exam 1 5
Time to prepare for Midterm Exam 1 5
Final Exam 1 5
Time to prepare for Final Exam 1 20
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • Relations with Education Attainment Program Course Competencies
  • ECTS credits and course workload