Program of Graduate Studies | Applied Informatics |
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Subject Area | Telecommunications, Signals and Networks |
Semester | Semester 3 – Fall |
Type | Elective |
ECTS | 10 |
Weekly Teaching Hours | 4 |
Course Instructor |
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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 |
Program of Graduate Studies | Applied Informatics |
---|---|
Subject Area | Telecommunications, Signals and Networks |
Semester | Semester 3 – Fall |
Type | Elective |
ECTS | 10 |
Weekly Teaching Hours | 4 |
Course Instructor |
|
Course Instructor |
|
This course will introduce students to fundamental concepts of computer networks and widely used technologies and protocols such as HTTP, TCP/IP, Ethernet, WiFi etc. A top-down approach will be followed, organized around the layered architecture of a network, which starts from the application layer and moves down to the physical layer. Students will learn how networking applications work and emphasis will be given on Web oriented applications like e-mail and the HTTP protocol.
With the successful completion of the course students should: