Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
STANDARD PRACTICES FOR METHOD VALIDATION IN FORENSIC SCIENCES ATO5602002 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 To teach the basic principles of method validation and to teach the national and international standards and procedures of the methods used in forensic sciences, thus enabling students to develop their practical skills in the laboratory environment.
Course Content The definition and importance of method validation will be emphasised. In this context, students will learn the basic concepts of method validation and how reliability and accuracy are assessed. In addition, the role of the validation process in forensic sciences and internationally accepted standards will be examined. In addition, students will be taught in detail the steps used for method validation in a laboratory setting. These steps will include how to determine validation parameters such as accuracy, precision, specificity and scalability, data analysis methods and how to interpret the results. In addition, students will learn these topics practically through laboratory studies and case studies.
Learning Outcomes 1) Gains the ability to define and explain the importance of method validation.
2) The ability to recognise and apply national and international standards for methods used in forensic sciences is developed.
3) Ability to plan and implement the necessary steps for method validation in the laboratory environment.
4) The ability to evaluate parameters such as accuracy, sensitivity, precision, specificity in the validation process and to interpret the results is gained.
5) The ability to critically evaluate current method validation applications in forensic sciences is developed.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Fundamentals of Method Validation Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning
Homework Presentation (Including Preparation Time)
2. Week Fundamentals of Method Validation Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning
Homework Presentation (Including Preparation Time)
3. Week National and International Standards Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning
Homework Presentation (Including Preparation Time)
4. Week National and International Standards Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning
Homework Presentation (Including Preparation Time)
5. Week Validation Process: Planning and Implementation Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning
Homework Presentation (Including Preparation Time)
6. Week Validation Process: Planning and Implementation Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning
Homework Presentation (Including Preparation Time)
7. Week Selectivity Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning
Homework Presentation (Including Preparation Time)
8. Week Certainty Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning
Homework Presentation (Including Preparation Time)
9. Week Certainty Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning
Homework Presentation (Including Preparation Time)
10. Week Accuracy Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning
Homework Presentation (Including Preparation Time)
11. Week Robustness Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning
Homework Presentation (Including Preparation Time)
12. Week Stability Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning
Homework Presentation (Including Preparation Time)
13. Week Applications Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning
Homework Presentation (Including Preparation Time)
14. Week Applications Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning
Homework Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
Bayne, S.; Carlin, M. Forensic Applications of High Performance Liquid Chromatography. CRC Press, 2010.
Carlin, M.G.; Dean, J.R. Forensic Applications of Gas Chromatography. CRC Press, 2013.
HandBook of Forensic Drug Analysis, Editor:Frederick P. Smith, Series Editor: Jay A. Siegel, ElsevierInc.,London, 2005.
Khan, J.V.I.; Kennedy, T.J.; Christian, D.R. Basic Principles of Forensic Chemistry. Humana Press, 2011.
Lunn, G, HPLC Methods for Pharmaceutical Analysis, John Wiley and Sons Inc, 2000
Petersen, J.R.; Mohammad, A.A. Clinical and Forensic Applications of Capillary Electrophoresis. Humana Press, 2001.
Skoog, D.A., Holler, F.J., Nieman, T.A., Çeviri Editörleri E. Kılıç, F. Köseoğlu, H.Yılmaz, Principles of Instrumental Analysis, Bilim Yayıncılık, 1992
Snyder, L.R., Kirkland, J.J., Glajch, J.L. , Practical HPLC Method Development, 2nd Ed., John Wiley and Sons Inc., New York, 1997
Yıldız, A., Genç, Ö.. Instrumental Analysis, Hacettepe University Publications, 1993

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3DK4DK5
PY4555555
PY5555555
PY6555555
PY7555555
PY8555555
PY9555555
PY10544444
PY14544444
PY15504004
PY17544444
PY18555555
PY19504004

*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 2
Homework 1 14
Presentation (Including Preparation Time) 14 2
Seminar 1 1
Midterm Exam 1 1
Time to prepare for Midterm Exam 7 2
Time to prepare for Final Exam 14 4
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
Quick Access Hızlı Erişim Genişlet
Course Information