Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
FINGERPRINT RESEARCH KRI5602007 2 + 2 3.0 7.0

Prerequisites None

Language of Instruction Turkish
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors
Assistants
Goals The aim is to acquire sufficient knowledge and skills in fingerprint research is essential for obtaining scientific answers from trace evidence in forensic investigations. This involves transferring scientific and technical information related to fingerprint studies.
Course Content Fingerprint Introduction, Factors Influencing Fingerprint Development, Fingerprint Classification (Lasso), Fingerprint Classification (Wirbel), Fingerprint Enhancement Methods - Porous Surfaces - 1, Fingerprint Enhancement Methods - Porous Surfaces - 2, Fingerprint Enhancement Methods - Non-Porous Surfaces - 1, Fingerprint Enhancement Methods - Non-Porous Surfaces - 2, Optical Scanning and Fingerprint Enhancement Techniques, AFIS and Fingerprint Identification Processes, Comprehensive Evaluation of Fingerprint Research (Integrated Criminal Processes), Fingerprint Chemistry - Touch Chemistry and Innovative Instrumental Methods
Learning Outcomes 1) Acquires sufficient knowledge and skills related to fingerprint research.
2) Learns basic examination techniques related to fingerprint research.
3) Gains knowledge about criminal investigations involving fingerprint evidence.
4) Be able to generate different perspectives in solving forensic cases, establish relevant connections across different disciplines, and generate ideas. Be able to interpret information from past or present criminal events.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Introduction to Fingerprints Lecture; Question Answer; Problem Solving; Discussion; Case Study
Brainstorming; Colloquium
Brain Based Learning 		Homework Presentation (Including Preparation Time)
2. Week Factors Influencing Fingerprint Development Lecture; Question Answer; Problem Solving; Discussion
Brainstorming; Colloquium
Brain Based Learning 		Homework Presentation (Including Preparation Time)
3. Week Fingerprint Classification (Lasso) Lecture; Question Answer; Problem Solving; Discussion; Case Study
Brainstorming; Colloquium
Brain Based Learning 		Homework Presentation (Including Preparation Time)
4. Week Fingerprint Classification (Wirbel) Lecture; Question Answer; Problem Solving; Discussion
Brainstorming; Colloquium
Brain Based Learning 		Homework Presentation (Including Preparation Time)
5. Week Fingerprint Enhancement Methods - Porous Surfaces - I Lecture; Question Answer; Problem Solving; Discussion; Case Study
Brainstorming; Colloquium
Brain Based Learning 		Homework Presentation (Including Preparation Time)
6. Week Fingerprint Enhancement Methods - Porous Surfaces - II Lecture; Question Answer; Problem Solving; Discussion; Case Study
Brainstorming; Colloquium
Brain Based Learning 		Homework Presentation (Including Preparation Time)
7. Week Fingerprint Enhancement Methods - Non-Porous Surfaces - I Lecture; Question Answer; Problem Solving; Discussion
Brainstorming; Colloquium
Brain Based Learning 		Homework Presentation (Including Preparation Time)
8. Week Fingerprint Enhancement Methods - Non-Porous Surfaces - II Lecture; Question Answer; Problem Solving; Discussion; Case Study
Brainstorming; Colloquium
Brain Based Learning 		Homework Presentation (Including Preparation Time)
9. Week Optical Scanning and Fingerprint Enhancement Techniques Lecture; Question Answer; Problem Solving; Discussion; Case Study
Brainstorming; Colloquium
Brain Based Learning 		Homework Presentation (Including Preparation Time)
10. Week AFIS and Fingerprint Identification Processes Lecture; Question Answer; Problem Solving; Discussion; Case Study
Brainstorming; Colloquium
Brain Based Learning 		Homework Presentation (Including Preparation Time)
11. Week Comprehensive Evaluation of Fingerprint Research (Integrated Criminal Processes) - I Lecture; Question Answer; Problem Solving; Discussion; Case Study
Brainstorming; Colloquium
Brain Based Learning 		Homework Presentation (Including Preparation Time)
12. Week Comprehensive Evaluation of Fingerprint Research (Integrated Criminal Processes) - II Lecture; Question Answer; Problem Solving; Discussion; Case Study
Brainstorming; Colloquium
Brain Based Learning 		Homework Presentation (Including Preparation Time)
13. Week Fingerprint Chemistry - Touch Chemistry and Innovative Instrumental Methods - I Lecture; Question Answer; Problem Solving; Discussion; Case Study
Brainstorming; Colloquium
Brain Based Learning 		Homework Presentation (Including Preparation Time)
14. Week Fingerprint Chemistry - Touch Chemistry and Innovative Instrumental Methods - II Lecture; Question Answer; Problem Solving; Discussion; Case Study
Brainstorming; Colloquium
Brain Based Learning 		Homework Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
Bleay, S. M., Croxton, R. S., & De Puit, M. (2018). Fingerprint development techniques: theory and application.
Lee, H. C., Gaensslen, R. E., & Ramotowski, R. (2012). Lee and Gaensslen's advances in fingerprint technology. (No Title).

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3DK4
PY455555
PY655555
PY1155555

*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 2
Work Hour outside Classroom (Preparation, strengthening) 14 5
Homework 14 5
Midterm Exam 1 1
Time to prepare for Midterm Exam 2 4
Final Exam 1 1
Time to prepare for Final Exam 1 20
2 3
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
Quick Access Hızlı Erişim Genişlet
Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • Relations with Education Attainment Program Course Competencies
  • ECTS credits and course workload