Special Topics in EE: Machine Learning for Communication Systems (EE 48009)

2025 Fall
Faculty of Engineering and Natural Sciences
Electronics Engineering(EE)
3
6
Çağlar Tunç caglar.tunc@sabanciuniv.edu,
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Undergraduate
MATH203
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Programs\Type Required Core Elective Area Elective
Data Science and Analytics *
Data Science and Analytics *
Electronics Engineering *
Electronics Engineering *
Industrial Engineering *
Industrial Engineering (Previous Name: Manufacturing Systems Engineering) *
Materials Science and Nano Engineering *
Materials Science and Nano Engineering (Previous Name: Materials Science and Engineering) *
Mechatronics Engineering *
Mechatronics Engineering *
Microelectronics *
Telecommunications *

CONTENT

Overview of machine learning techniques, 5G/6G communication system architecture and AI convergence, O-RAN and data-driven network control, clustering techniques for UAV localization, time-series models such as LSTM for channel estimation and beam tracking, reinforcement learning and multi-agent decision-making in networks, supervised learning for traffic classification, unsupervised learning and explainable AI for anomaly detection, ML-based optimization in wireless networks, hands-on assignments using Jupyter notebooks, Sionna-based simulations for network/system-level modeling, and a final project on selected use cases in communication systems.

LEARNING OUTCOMES

  • Understand and explain key machine learning concepts and how they apply to communication systems.
  • Implement ML algorithms to solve problems such as channel estimation, signal classification, and resource allocation.
  • Evaluate the performance and limitations of ML-based solutions in communication scenarios.
  • Apply explainable and interpretable AI techniques to build trustworthy models for communication system tasks.
  • Use simulation tools and real datasets to analyze and prototype intelligent communication systems.

PROGRAMME OUTCOMES

1. Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others.

2. Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice.

3. Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects; have the ability to continue to educate him/herself.

4. Communicate effectively in Turkish and English by oral, written, graphical and technological means.

5. Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams.

1. Possess sufficient knowledge of mathematics, science, fundamental engineering, computational methods and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems.

2. Identify, define, formulate and solve complex engineering problems while considering the UN Sustainable Development Goals; choose and apply suitable analysis, design, estimation/prediction and modeling methods for this purpose.

3. Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; use information technologies effectively.

4. Have the ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling creative current and future requirements.

5. Use research methods, including conducting literature reviews, designing experiments, performing experiments, collecting data, analyzing results, and interpreting results, to investigate complex engineering problems or discipline-specific research topics.

6. Possess knowledge of business practices such as project management, risk management, change management, and economic feasibility analysis; awareness on entrepreneurship and innovation.

7. Possess knowledge of impact of engineering solutions on society, health and safety, the economy, sustainability, and the environment within the framework of the UN Sustainable Development Goals; awareness on legal outcomes of engineering solutions; awareness of acting impartially and inclusively without any form of discrimination; act in accordance with ethical principles, possessing knowledge of professional and ethical responsibilities.

8. Communicate effectively, both orally and in writing, on technical subjects, considering the diverse characteristics of the target audience (such as education, language, and profession).