Subject Area  Signals, Communications, and Networking 

Semester  Semester 8 – Spring 
Type  Elective 
Teaching Hours  4 
ECTS  6 
Course Site  http://eclass.uth.gr 
Course Director 
Antonios Argyriou, Associate Professor 
Course Instructor 

Scientific Responsible  Spyros Lalis, Professor 

Title  MLSysOps: Machine Learning for Autonomic System Operation in the Heterogeneous EdgeCloud Continuum 
Duration  2023 – 2025 
Site  https://csl.ece.uth.gr/projects/mlsysops 
Scientific Responsible  Spyros Lalis, Professor 

Title  VEPIT: Vessel Energy Profiling based on IoT 
Duration  2022 – 2024 
Site  https://csl.ece.uth.gr/projects/vepit 
Department of Electrical and Computer Engineering  



Tel.  +30 24210 74967 
gece ΑΤ ece.uth.gr  
PGS Tel.  +30 24210 74934 
PGS email  pgsec ΑΤ ece.uth.gr 
URL  https://www.ece.uth.gr/contactinfo/?lang=en 
Subject Area  Signals, Communications, and Networking 

Semester  Semester 8 – Spring 
Type  Elective 
Teaching Hours  4 
ECTS  6 
Course Site  http://eclass.uth.gr 
Course Director 
Antonios Argyriou, Associate Professor 
Course Instructor 

The course focuses on the understanding of advanced mathematical tools from probability and statistics and their application in telecommunication systems and signal processing. In the first part of the course the student is introduces to the mathematical tools for many random variables, vectors ad the understanding of the concept of the data model. Next especial emphasis is given to the understanding of estimation and detection techniques. The third objective of the curse is to introduce the students to the necessary techniques for modeling physical phenomena with random processes. The learning outcomes of the course are achieved after executing a large number of homeworks and (67) and MATLAB pojects.
After successfully completing the course the student will be in a position to: