Subject Area | Applications and Foundations of Computer Science |
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Semester | Semester 4 – Spring |
Type | Required |
Teaching Hours | 4 |
ECTS | 6 |
Recommended Courses | |
Course Site | https://eclass.uth.gr/courses/E-CE_U_215 |
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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 | Applications and Foundations of Computer Science |
---|---|
Semester | Semester 4 – Spring |
Type | Required |
Teaching Hours | 4 |
ECTS | 6 |
Recommended Courses | |
Course Site | https://eclass.uth.gr/courses/E-CE_U_215 |
Course Director |
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Course Instructor |
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Introduction
1st order Ordinary Differential Equations (ODE)
Higher order linear ODEs
Systems of ODEs
Fourier series
Partial Differential Equations
Laplace Transform
The main objective of the course is that the students acquire the ability to use differential equations to model physical phenomena, analyze their properties, solve such equations and use the solutions to deeper understanding of these phenomena. In particular, students will be able to