Subject Area | Signals, Communications, and Networking |
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Semester | Semester 8 – Spring |
Type | Elective |
Teaching Hours | 4 |
ECTS | 6 |
Prerequisites |
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Course Site | http://eclass.uth.gr/eclass/courses/MHX299/ |
Course Director |
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Course Instructor |
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Scientific Responsible |
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Title | MLSysOps: Machine Learning for Autonomic System Operation in the Heterogeneous Edge-Cloud Continuum |
Duration | 2023 – 2025 |
Site | https://csl.e-ce.uth.gr/projects/mlsysops |
Scientific Responsible |
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Title | VEPIT: Vessel Energy Profiling based on IoT |
Duration | 2022 – 2024 |
Site | https://csl.e-ce.uth.gr/projects/vepit |
Department of Electrical and Computer Engineering | |
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Tel. | +30 24210 74967 |
gece ΑΤ e-ce.uth.gr | |
PGS Tel. | +30 24210 74934 |
PGS e-mail | pgsec ΑΤ e-ce.uth.gr |
URL | https://www.e-ce.uth.gr/contact-info/?lang=en |
Subject Area | Signals, Communications, and Networking |
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Semester | Semester 8 – Spring |
Type | Elective |
Teaching Hours | 4 |
ECTS | 6 |
Prerequisites |
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Course Site | http://eclass.uth.gr/eclass/courses/MHX299/ |
Course Director |
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Course Instructor |
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This class presents topics from the area of wireless communications and networking, their underlying existing technologies and motivates a deep analysis on their principles. It is the main course that goes deeper in the wireless networking concepts. The laboratory of this class helps in better understanding of these concepts, with use of software tools like the OMF framework and the OML measurements library.
After the successful completion of this class, the student will be able to