Subject Area | Computer Hardware and Architecture |
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Semester | Semester 5 – Fall |
Type | Elective |
Teaching Hours | 4 |
ECTS | 6 |
Recommended Courses |
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Course Site | https://courses.e-ce.uth.gr/ECE327/ |
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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 | Computer Hardware and Architecture |
---|---|
Semester | Semester 5 – Fall |
Type | Elective |
Teaching Hours | 4 |
ECTS | 6 |
Recommended Courses |
|
Course Site | https://courses.e-ce.uth.gr/ECE327/ |
Course Director |
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Course Instructor |
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The course aims at delving into the implementation of modern digital systems on silicon integrated circuits, covering issues about physical design, clock synchronization, and memory and datapath circuits.
With the successful completion of the course, the student will be in a position to: