Subject Area | Signals, Communications, and Networking |
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Semester | Semester 5 – Fall |
Type | Required |
Teaching Hours | 5 |
ECTS | 6 |
Recommended Courses |
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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 |
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 |
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Semester | Semester 5 – Fall |
Type | Required |
Teaching Hours | 5 |
ECTS | 6 |
Recommended Courses |
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Course Director |
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Course Instructor |
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The course is dealing with basic concepts of computer networking. The students are introduced in the concepts of basic communication mechanisms and protocols, based on the TCP/IP networking stack. During the course, the operation of each layer is examined (Application, Transport, Network, Data Link), as well as different inter-networking technologies and digital support services. Moreover, the students are introduced to the operation of real networking equipment by solving practical problems, with a hands-on approach using networking testbeds.
By the end of the course, the students shall be able to: