Subject Area | Computer Hardware and Architecture |
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Semester | Semester 6 – Spring |
Type | Required |
Teaching Hours | 4 |
ECTS | 6 |
Prerequisites | |
Course Site | https://eclass.uth.gr/courses/E-CE_U_149 |
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 |
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Semester | Semester 6 – Spring |
Type | Required |
Teaching Hours | 4 |
ECTS | 6 |
Prerequisites | |
Course Site | https://eclass.uth.gr/courses/E-CE_U_149 |
Course Director |
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Course Instructor |
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Vector analysis. Curvilinear coordinate systems. Theory of vector fields. Electric and magnetic field. Maxwell equations in integral and differential form. Electrostatics and magnetostatics. Scalar and vector potential. Basic principles of electric conduction. Conductors in electrostatics and electrodynamics. Energy of electric and magnetic field. Basic principles of capacitance and inductance. Semistatic approximation in low frequencies. Basic principles of wave theory. Electromagnetic waves. Circuits with lumped and distributed parameters. Transmission lines.
The course constitutes the basic introductory course in the theory of Electromagnetic Fields, both static and semi-static, as well as rapidly time-varying fields that lead to the creation and propagation of electromagnetic waves.With the successful completion of the course, the student will be in a position to: