| Language of Instruction |
Türkçe |
| Course Type |
Elective Courses |
| Course Instructor(s) |
DR. ÖĞR. ÜYESİ SERKAN LEVENT |
| Mode of Delivery |
Face to face |
| Prerequisites |
There is no prerequisite or co-requisite for this course. |
| Courses Recomended |
None |
| Recommended Reading List |
Zachary JB., Xiang Y, Philippe YA, Yanan Z, Steven PW, Qiongqiong Z, Artificial Intelligence in Chemistry: Current Trends and Future Directions, J. Chem. Inf. Model, 2021; 61: 3197 Jia W, Georgouli K, Martinez-Del Rincon J, Koidis A. Challenges in the Use of AI-Driven Non-Destructive Spectroscopic Tools for Rapid Food Analysis. Foods. 2024; 13(6):846. Rafael Cardoso Rial, AI in analytical chemistry: Advancements, challenges, and future directions, Talanta, Volume 274, 2024, 125949. |
| Assessment methods and criteria |
1 Midterm exam, 1 Final exam |
| Work Placement |
No |
| Catalog Content |
Basic Definitions of Artificial Intelligence, Machine learning and deep learning, History and significance of artificial intelligence applications in analytical chemistry,Overview of fundamental machine learning algorithms, Application of aI techniques in spectroscopic data analysis (UV-Vis, FTIR, NMR, Raman), AI applications in classification, Peak identification and deconvolution of chromatographic data (HPLC, GC), Interpretation of mass spectrometry data using AI, Including fragmentation modeling and structure prediction, AI-assisted calibration methods and quality control applications, Data mining and AI-based modeling in degradation products and impurity analysi |
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