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Information
| Unit | INSTITUTE OF NATURAL AND APPLIED SCIENCES |
| PHYSICS (MASTER) (WITH THESIS) | |
| Code | FK742 |
| Name | Luminescence Dating and Artificial Intelligence Applications |
| Term | 2026-2027 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Belirsiz |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. MEHMET YÜKSEL |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
This course aims to teach the use of artificial intelligence and machine learning methods for analyzing TL and OSL dating data and evaluating equivalent dose (De), annual dose, and age estimation using data-driven models.
Course Content
Application of artificial intelligence and machine learning methods to luminescence dating data; formation of TL and OSL signals, traps and recombination centers; TL and OSL dating principles and the SAR protocol; determination of equivalent dose and annual dose using growth curves; age calculation and uncertainty analysis; AI-based modeling of TL glow curves, OSL decay curves, equivalent dose, and annual dose; optimization algorithms, model validation, and error metrics (RMSE, MAE, MAPE, R²).
Course Precondition
There is no prerequisite for this course.
Resources
1) Aitken, M.J. (1985). Thermoluminescence Dating. Academic Press., 2) Liritzis, I., Singhvi, A.K., Feathers, J.K., Wagner, G.A., Kadereit, A., Zacharias, N., & Li, S.H. (2013). Luminescence Dating in Archaeology, Anthropology and Geoarchaeology: An Overview. Springer., 3) Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press., 4) Bishop, C. (2006). Pattern Recognition and Machine Learning. Springer.
Notes
Lecture Notes, Lecture presentations
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explains the physical foundations of luminescence dating, including the formation of TL and OSL signals, traps, and recombination centers. |
| LO02 | Explains the principles of TL and OSL dating, growth curves, and the Single Aliquot Regenerative-dose (SAR) protocol used in OSL dating. |
| LO03 | Determines equivalent dose (De) and annual dose components using data obtained from luminescence measurements. |
| LO04 | Calculates luminescence dating ages using equivalent dose (De), annual dose, and other dose components, and evaluates associated uncertainties. |
| LO05 | Analyzes TL glow curves and OSL decay curves using artificial intelligence and machine learning methods. |
| LO06 | Applies AI-based data-driven models to estimate equivalent dose and annual dose from TL and OSL data. |
| LO07 | Improves the performance of artificial intelligence models using optimization algorithms and applies model validation methods. |
| LO08 | Evaluates and interprets AI-based model results using error metrics such as RMSE, MAE, MAPE, and R². |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Has sufficient infrastructure in various subjects of Physics. | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Demonstrate the knowledge of appropriate mathematical techniques used in physics. | 4 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Interpret observational and experimental results. | 4 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Makes use of the conceptual and practical knowledge acquired in the physics field at mastery level. | |
| PLO05 | Bilgi - Kuramsal, Olgusal | Has a knowledge about the logic of scientific research. | 3 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Report the solution of a physics problem, experimental results or projects in a written format or orally. | 3 |
| PLO07 | Bilgi - Kuramsal, Olgusal | Chooses and uses the necessary publications, books and methods for a scientific research. | 3 |
| PLO08 | Bilgi - Kuramsal, Olgusal | Accesses a knowledge about a subject in physics, does literature search and uses other sources for this purpose. | |
| PLO09 | Bilgi - Kuramsal, Olgusal | Provides solutions to the problems encountered in the physics field applying research methods. | 3 |
| PLO10 | Bilgi - Kuramsal, Olgusal | Can perform an independent research. | |
| PLO11 | Bilgi - Kuramsal, Olgusal | Can perform group work effectively in a research or industrial projects. | |
| PLO12 | Bilgi - Kuramsal, Olgusal | Becomes conscious of the necessity of lifelong learning. | |
| PLO13 | Bilgi - Kuramsal, Olgusal | To keep track of the developments in physics and updates himself/herself invariably. | 3 |
| PLO14 | Bilgi - Kuramsal, Olgusal | Shares his/her ideas and suggestions for solutions to the physical problems with experts and non-experts by supporting them with quantitative and qualitative data. | |
| PLO15 | Bilgi - Kuramsal, Olgusal | Can make an effective written or oral presentation of the results obtained in a study. | 3 |
| PLO16 | Bilgi - Kuramsal, Olgusal | Makes use of the knowledge, problem solving and / or application skills acquired in the physics field in interdisciplinary studies. | 4 |
| PLO17 | Bilgi - Kuramsal, Olgusal | Has a foundation necessary to work in a research and development organizations. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to luminescence dating, TL and OSL dating principles | Study from textbooks and lecture notes, literature review | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 2 | Luminescence mechanisms, energy traps and recombination centers | Study from textbooks and lecture notes, literature review | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Bireysel Çalışma |
| 3 | TL glow curves, TL signal formation and data characteristics | Study from textbooks and lecture notes, literature review | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Bireysel Çalışma |
| 4 | OSL decay curves, signal components and data characteristics | Study from textbooks and lecture notes, literature review | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama |
| 5 | OSL dating principles and the SAR (Single Aliquot Regenerative-dose) protocol | Study from textbooks and lecture notes, literature review | Öğretim Yöntemleri: Anlatım, Benzetim, Bireysel Çalışma |
| 6 | Growth curves and determination of equivalent dose (De) | Study from textbooks and lecture notes, literature review | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 7 | Annual dose components (cosmic dose, internal and external dose contributions) and age calculation | Study from textbooks and lecture notes, literature review | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 8 | Mid-Term Exam | Study from textbooks and lecture notes | Ölçme Yöntemleri: Yazılı Sınav, Proje / Tasarım |
| 9 | Introduction to machine learning, preparation of luminescence datasets | Study from textbooks and lecture notes, literature review | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Bireysel Çalışma |
| 10 | Artificial neural networks (ANN) and their application to luminescence data | Study from textbooks and lecture notes, literature review | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 11 | Modeling and prediction of TL glow curves using artificial intelligence | Study from textbooks and lecture notes, literature review | Öğretim Yöntemleri: Anlatım, Gösteri, Bireysel Çalışma |
| 12 | Modeling and prediction of OSL decay curves using artificial intelligence | Study from textbooks and lecture notes, literature review | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 13 | Modeling of equivalent dose (De) and annual dose using artificial intelligence | Study from textbooks and lecture notes, literature review | Öğretim Yöntemleri: Anlatım, Bireysel Çalışma, Problem Çözme |
| 14 | Improvement of artificial intelligence models using optimization algorithms | Study from textbooks and lecture notes, literature review | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama |
| 15 | Model validation, error metrics (RMSE, MAE, MAPE, R²) and uncertainty analysis | Study from textbooks and lecture notes, literature review | Öğretim Yöntemleri: Alıştırma ve Uygulama, Bireysel Çalışma, Anlatım |
| 16 | Term Exams | Study from textbooks and lecture notes | Ölçme Yöntemleri: Yazılı Sınav, Proje / Tasarım |
| 17 | Term Exams | Study from textbooks and lecture notes | Ölçme Yöntemleri: Yazılı Sınav, Proje / Tasarım |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 4 | 56 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 12 | 12 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 152 | ||
| Total Workload / 25 (h) | 6,08 | ||
| ECTS | 6 ECTS | ||