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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. Graduate School
  2. Department of Analytical Chemistry
  3. Master of Science (MSc) in Analytical Chemistry
  4. Course Structure Diagram with Credits
  5. AI in Analytical Chemistry
  6. Learning Outcomes
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 30/09/2026
# Learning Outcome
LO-1 Explains the role of artificial intelligence in analytical chemistry and its historical development.
LO-2 Describes the fundamental algorithms of machine learning and their applications in analytical chemistry.
LO-3 Defines AI applications for the analysis of spectroscopic data.
LO-4 Applies deep learning and AI techniques in spectroscopic analysis.
LO-5 Explains how AI is used in chromatography techniques.
LO-6 Applies AI techniques for the analysis of mass spectrometry data.
LO-7 Defines AI applications in calibration and quality control processes.
LO-8 Uses AI applications in the analysis of degradation products and impurities.
LO-9 Discusses the challenges faced by AI applications in analytical chemistry.
LO-10 Evaluates the ethical use of AI and regulatory requirements.

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