Subject Area | Software and Information System Engineering |
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Semester | Semester 8 – Spring |
Type | Elective |
Teaching Hours | 4 |
ECTS | 6 |
Course Site | https://eclass.uth.gr |
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 | Software and Information System Engineering |
---|---|
Semester | Semester 8 – Spring |
Type | Elective |
Teaching Hours | 4 |
ECTS | 6 |
Course Site | https://eclass.uth.gr |
Course Director |
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Course Instructor |
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The course is a comprehensive introduction to the basic elements of Blockchain technology and the overall ecosystem surrounding it. Specifically, we are examining
The main objective of the course is to
Understanding the basic concepts of Blockhain Technologies
Linki these to cryptocurrencies, and other decentralized applications
In particular, the students will be able to