Subject Area | Energy |
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Semester | Semester 1 – Fall |
Type | Required |
Teaching Hours | 4 |
ECTS | 6 |
Course Site | https://eclass.uth.gr/courses/E-CE_U_192/ |
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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 | Energy |
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Semester | Semester 1 – Fall |
Type | Required |
Teaching Hours | 4 |
ECTS | 6 |
Course Site | https://eclass.uth.gr/courses/E-CE_U_192/ |
Course Director |
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Course Instructor |
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This is the first foundational course in physics covering introductory classical mechanics as well as some elements of fluid mechanics and thermodynamics. The course covers the following topics: Motion Along a Line and on a Curve, Motion in Two or Three Dimensions, Newton’s Laws of Motion and Applications, Work and Kinetic Energy, Potential Energy and Energy Conservation, Momentum, Impulse, and Collisions, Rotation of Rigid Bodies,, Dynamics of Rotational Motion, Equilibrium and Elasticity, Gravitation, Periodic Motion, Introduction to Fluid Mechanics, Introduction to Thermodynamics.
Upon successful completion of the course the students should reach a level that will enable them to: