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Artificial Intelligence and Machine Learning at Bilkent EE

In the age of digital transformation, we are moving towards a society where data-based decision mechanisms will play a pervasive role in everyday life. Within strategically important application domains such as health, communication and transportation, we are witnessing artificial intelligence technologies gain an indispensable place in delivering high performance and reliable solutions. National and international companies that are leading this technological revolution direly need qualified engineers with working expertise in artificial intelligence and machine learning in order to develop smart products.

Bilkent University, Department of Electrical and Electronics Engineering has a pioneering position in the country with its strong educational program resting on mathematical foundations and world-renown faculty in the domain of artificial intelligence and machine learning. We offer our undergraduate students a comprehensive portfolio of courses that cover the areas of machine learning, neural networks, data science, as well as image processing, language processing, biomedical and robotics. Thus, we train world-class engineers with exquisite theoretical and practical skills in the field of artificial intelligence and machine learning.

The current course list within our Bachelor of Science program offered in the field of artificial intelligence and machine learning is as follows:

EEE 361 Linear Algebra in Data Analysis and Machine Learning
EEE 413 Hardware Acceleration for Machine Learning
EEE 443 Neural Networks
EEE 447 Robotics
EEE 475 Medical Image Reconstruction and Processing
EEE 482 Computational Neuroscience
EEE 485 Statistical Learning and Data Analytics
EEE 486 Foundations of Natural Language Processing
GE 461 Introduction to Data Science
CS 461 Artificial Intelligence
CS 464 Introduction to Machine Learning
IE 452 Algebraic and Geometric Techniques in Data Analysis


Our faculty members develop innovative machine learning technologies for addressing current problems in recommender systems, healthcare, 5G communication, cybersecurity, emergency services, natural language processing, robotics, and social networks. Bilkent EEE faculty members and their undergraduate and graduate advisees publish their work in forthcoming journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Internet of Things Journal, Nature Neuroscience, Natural Language Engineering, Neural Networks, Journal of Neuroscience, Applied Artificial Intelligence, Pattern Recognition, and prestigious conferences including Advances in Neural Information Processing Systems (NeurIPS), Annual Meeting of Organization for Human Brain Mapping (OHBM), International Conference on Advances in Computer-Human Interactions (ACHI), International Conference on Artificial Intelligence and Statistics (AISTATS) ve International Conference on Pattern Recognition (ICPR). In the last 4 years, our faculty members have published in the field of artificial intelligence and machine learning over 60 journal and over 30 conference papers. Our research programs in this area are being supported by major public and private institutions including TUBITAK, European Commission, EMBO, nVidia, and ASELSAN; and over 30 students are participating in these programs.

Current research projects in our department focusing on innovative artificial intelligence and machine learning studies are summarized below.

You can find more information about these projects please follow the links above and visit our faculty pages.