Subject Area | Signals, Communications, and Networking |
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Semester | Semester 9 – Fall |
Type | Elective |
Teaching Hours | 4 |
ECTS | 6 |
Prerequisites |
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Course Site | http://eclass.uth.gr |
Course Director |
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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 |
Department of Electrical and Computer Engineering | |
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Tel. | +30 24210 74967, +30 24210 74934 |
gece ΑΤ e-ce.uth.gr | |
PGS Tel. | +30 24210 74933 |
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 |
---|---|
Semester | Semester 9 – Fall |
Type | Elective |
Teaching Hours | 4 |
ECTS | 6 |
Prerequisites |
|
Course Site | http://eclass.uth.gr |
Course Director |
|
The main objective of this course is to introduce the students to phenomena of electromagnetic radiation and propagation through microwaves both through quantitative and qualitative methods.
After successfully completing the course the student will be in a position to:
The previous learning outcomes will be evaluated through problems that will be solved by the students (homework), but also through the final exams.