Teaching
Teaching
Graduate teaching in the Artificial Intelligence MSc programme of the Institute of
Informatics. Course materials are on GitHub; homework, project and exam files are
submitted through the submission portal.
Previously at TED University
Courses previously taught at TED University
| Code | Course | Level |
| ADS 525 | Generative AI Engineering with LLMs | MSc |
| ADS 531 | Information Retrieval | MSc |
| ADS 542 | Statistical Learning | MSc |
| ADS 577 | Data Analytics | MSc |
| ADS 511 | Statistical Inference Methods with Applications | MSc |
| ADA 442 | Statistical Learning | BSc |
| CMPE 223/242 | Data Structures and Algorithms I | BSc |
Graduate Supervision
Nine MSc theses supervised, one currently in progress.
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Fevzi Kılas
Efficient Intelligence with Neuroplasticity: Hardware-Aware Structural and Functional Plasticity
Hacettepe University, Institute of Informatics, Artificial Intelligence · in progress
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Selay Koyuncu
SelAI: Agent-Orchestrated Multilingual Large Language Model Pipeline for Software Engineering — Code Generation, Unit Testing, and Vulnerability Detection
TED University, Applied Data Science · 2026
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Daniel Quillan Roxas
Graph-Augmented Retrieval for Biomedical Question Answering: When Do Knowledge Graphs Help?
TED University, Applied Data Science · 2026
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Mustafa Mert Süerkan
AI Agents for Kubernetes Incident Remediation: Evaluating the Reflexion Framework
TED University, Computer Engineering · 2026
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Serdar Hoşver
Resolving the Accuracy–Interpretability Trade-off in Small and Imbalanced Datasets: An Explainable Black Box Approach
TED University, Computer Engineering · 2026
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Emine Korkut
A Data-Driven Comparative Analysis of National Artificial Intelligence Strategies: Identifying Türkiye’s Strategic Position
TED University, Applied Data Science · 2026
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Duygu Halim Kırlı
Machine Learning-Based Prediction of Export Participation from Firm-Level Financial Data
TED University, Economics and Finance · 2026
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Türkü Yıldırım
Comparison and Evaluation of Large Language Models in Mathematics Education
TED University, Applied Data Science · 2025
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Gülsüm Budakoğlu
Optimizing Large Language Models: A Comparative Study of Retrieval-Augmented Generation, Fine-Tuning, and Hybrid Approaches
TED University, Applied Data Science · 2024
Prospective students. If you intend to work on LLM architectures, LLM serving and optimisation, LLM evaluation
or AI safety, please send a brief statement of
research interest together with your CV and transcript.