Subject Area | Computer Hardware and Architecture |
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Semester | Semester 6 – Spring |
Type | Elective |
Teaching Hours | 4 |
ECTS | 6 |
Prerequisites |
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Recommended Courses |
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Course Site | http://eclass.uth.gr/eclass/courses/MHX219/ |
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 | Computer Hardware and Architecture |
---|---|
Semester | Semester 6 – Spring |
Type | Elective |
Teaching Hours | 4 |
ECTS | 6 |
Prerequisites |
|
Recommended Courses |
|
Course Site | http://eclass.uth.gr/eclass/courses/MHX219/ |
Course Director |
|
Course Instructor |
|
The goals of the course include (1) the presentation and in-depth discussion of industrial design implementation and test methodologies for Application Specific Integrated Circuits (ASIC), (2) getting to grips with the relevant theoretical and practical issues, processes and flow standards, and (3) gaining practical experience actually using industrial ASIC design tools.
In the course, industrial design and implementation tools are presented, which begin with the circuit in High Level Description (HDL) format, and produce a complete floorplanning and placement of the circuit in the form (GDSII) needed for delivery at a fab.
The course syllabus will enable the student, upon its completion, to: