Subject Area | Applications and Foundations of Computer Science |
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Semester | Semester 8 – Spring |
Type | Elective |
Teaching Hours | 4 |
ECTS | 6 |
Course Site | https://eclass.uth.gr/courses/E-CE_U_283/ |
Course Director |
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Course Instructor |
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Scientific Responsible | ![]() E-mail: georges@uth.gr |
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Title | Hellenic Chips Competence Centre |
Funding Agency | Chips Joint Undertaking |
Budget | 326.350,00 |
Duration | 01/06/2025 – 31/05/2029 |
Scientific Responsible | ![]() E-mail: fplessas@uth.gr |
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Title | Αναλογικός Σχεδιασμός, Δοκιμές και Επαλήθευση |
Funding Agency | NanoZeta Technologies ltd. |
Budget | 271.400,00 |
Duration | 26/01/2021 – 25/01/2028 |
Scientific Responsible | ![]() E-mail: korakis@uth.gr |
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Title | DIGITAfrica: Towards a comprehensive pan-African research infrastructure in Digital Sciences |
Funding Agency | ΕΥΡΩΠΑΪΚΗ ΕΝΩΣΗ |
Budget | 123.125,00 |
Duration | 16/12/2024 – 31/12/2027 |
Department of Electrical and Computer Engineering | |
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Tel. | +30 24210 74967, +30 24210 74934 |
gece ΑΤ uth.gr | |
PGS Tel. | +30 24210 74933 |
PGS e-mail | pgsec ΑΤ uth.gr |
URL | https://www.e-ce.uth.gr/contact-info/?lang=en |
Subject Area | Applications and Foundations of Computer Science |
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Semester | Semester 8 – Spring |
Type | Elective |
Teaching Hours | 4 |
ECTS | 6 |
Course Site | https://eclass.uth.gr/courses/E-CE_U_283/ |
Course Director |
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Course Instructor |
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Introductory Review of Matrix Theory. (Linear Vector Spaces, Square Matrices, Eigenvalues and Eigenvectors, Norms.) Direct Methods of Solution of Linear Systems, GaussElimination Method and itsModifications, LU Factorization, Method ofCholesky, Elements of Perturbation Theory, Iterative Improvement of Numerical Solution of Linear Systems. Iterative Methods of Solution of Linear Systems, Classical Iterative Methods,General Iterative Method, Methods of Jacobi and Gauss-Seidel, Convergence Acceleration Techniques (Extrapolation), SOR Method, Symmetric SOR (SSOR) Method, Applications (Difference Equations, Tensor Products). Minimization Methods for the Solution of Linear Systems (Methods of Steepest Descent, Conjugate Directions,Conjugate Gradient (CG), Preconditioned CG). Least Squares Method, Theory of Linear Problem, Gram-Schmidt Method, QR Analysis, Householder and Givens Transformations, Analysis of Singular Values (SVD). Numerical Methods for the Determination of the Eigenvalues and Eigenvectors, Power Method and its Variations, Determination of other Eigenvalues.
Students will be able to