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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Yunus Emre Health Services Vocational School
  2. Department of Medical Services and Techniques
  3. Program in Medical Laboratory Techniques
  4. Course Structure Diagram with Credits
  5. Artificial Intelligence Applications in Laboratories
  6. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 30/09/2026

Code - Course Title Course Type Laboratory + Practice ECTS
TLT224 - Artificial Intelligence Applications in Laboratories II. SEMESTER 1 +1 3.0
Language of Instruction Türkçe
Course Type Area Elective Courses
Course Instructor(s) DOÇ. DR. MURAT SOYSEVEN
Mode of Delivery Face to face
Place of Delivery
Used Educational Platforms
Prerequisites There are no prerequisites.
Courses Recomended None.
Recommended Resources Anastas, P. T., & Warner, J. C. (1998). Green Chemistry: Theory and Practice. Oxford University Press.Lancaster, M. (2010). Green Chemistry: An Introductory Text. Royal Society of Chemistry.Matlack, A. (2010). Introduction to Green Chemistry. CRC Press.Muthu, S. S. (2017). Green Chemistry for Sustainable Development. Springer.Nelson, W. M. (Ed.). (2012). Green Solvents for Chemistry: Perspectives and Practice. Oxford
Work Placement None.
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Introduction to Artificial Intelligence
Week - 2 Digital Transformation in Healthcare and Laboratories
Week - 3 Introduction to Machine Learning
Week - 4 Laboratory Data Types and Data Quality
Week - 5 Clinical Decision Support Systems and Artificial Intelligence
Week - 6 Image Analysis with Artificial Intelligence
Week - 7 Applications of Artificial Intelligence in Laboratories
Week - 8 The Role of Artificial Intelligence in Diagnosis
Week - 9 Smart Devices in the Laboratory
Week - 10 AI-Supported Quality Control
Week - 11 Data Security
Week - 12 AI Software
Week - 13 Case Analyses with Artificial Intelligence
Week - 14 General Assessment and Future Perspectives

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%)

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