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.

Courses

Previously at TED University

Courses previously taught at TED University
CodeCourseLevel
ADS 525Generative AI Engineering with LLMsMSc
ADS 531Information RetrievalMSc
ADS 542Statistical LearningMSc
ADS 577Data AnalyticsMSc
ADS 511Statistical Inference Methods with ApplicationsMSc
ADA 442Statistical LearningBSc
CMPE 223/242Data Structures and Algorithms IBSc

Graduate Supervision

Nine MSc theses supervised, one currently in progress.

  1. Fevzi Kılas Efficient Intelligence with Neuroplasticity: Hardware-Aware Structural and Functional Plasticity Hacettepe University, Institute of Informatics, Artificial Intelligence · in progress
  2. 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
  3. Daniel Quillan Roxas Graph-Augmented Retrieval for Biomedical Question Answering: When Do Knowledge Graphs Help? TED University, Applied Data Science · 2026
  4. Mustafa Mert Süerkan AI Agents for Kubernetes Incident Remediation: Evaluating the Reflexion Framework TED University, Computer Engineering · 2026
  5. Serdar Hoşver Resolving the Accuracy–Interpretability Trade-off in Small and Imbalanced Datasets: An Explainable Black Box Approach TED University, Computer Engineering · 2026
  6. Emine Korkut A Data-Driven Comparative Analysis of National Artificial Intelligence Strategies: Identifying Türkiye’s Strategic Position TED University, Applied Data Science · 2026
  7. Duygu Halim Kırlı Machine Learning-Based Prediction of Export Participation from Firm-Level Financial Data TED University, Economics and Finance · 2026
  8. Türkü Yıldırım Comparison and Evaluation of Large Language Models in Mathematics Education TED University, Applied Data Science · 2025
  9. 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.