Syllabus-EE58009-202501

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EE 58009
Machine Learning for Communication Systems

Faculty Faculty of Engineering and Natural Sciences

Semester Fall 2025-2026

Course EE 58009 - Machine Learning for Communication Systems

Time/Place

Time

Week Day

Place

Date

13:40-15:30

Tue

FENS-L065

Sep 29, 2025-Jan 3, 2026

11:40-12:30

Wed

FENS-L067

Sep 29, 2025-Jan 3, 2026

Level of course Masters

Course Credits SU Credit:3, ECTS:10

Prerequisites -

Corequisites -

Course Type Lecture

Instructor(s) Information

Çağlar Tunç

Email: caglar.tunc@sabanciuniv.edu

Course Information

Catalog Course Description

This course introduces students to the application of machine learning techniques in modern communication systems. Topics include supervised and unsupervised learning, neural networks, reinforcement learning, and explainable AI, with a focus on problems such as traffic classification, channel estimation, resource management, and anomaly detection. Students will also explore ML-based network layer optimizations in wireless systems, including 5G/6G. Hands-on assignments and projects using real-world communication datasets and open-source simulation tools will reinforce the concepts.

Course Learning Outcomes:

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

Course Objective

Course Materials

Resources:

Any versions of the following books:
Applications of Machine Learning in Wireless Communications, by Ruisi He; Ruisi Zhiguo Ding
Machine Learning and Wireless Communications, by Yonina C. Eldar, Andrea Goldsmith, Deniz Gündüz, H. Vincent Poor
Wireless Communications, by Andreas F. Molisch

Technology Requirements:

Policies

SU Academic Integrity Statement:

https://www.sabanciuniv.edu/en/academic-integrity-statement

Syllabus Application