ECE220 Numerical Analysis

Scientific Responsible	Nestor Evmorfopoulos, Associate Professor E-mail: nestevmo@e-ce.uth.gr
Title	MORCIC: Model Order Reduction of Electromagnetic Models for Large Integrated Circuits
Duration	2021 – 2023

Scientific Responsible	Gerasimos Potamianos, Associate Professor E-mail: gpotamianos@e-ce.uth.gr
Title	SL-ReDu: Sign Language Recognition in Education
Duration	2020 – 2023
Site	https://sl-redu.e-ce.uth.gr/

Scientific Responsible	Christos Sotiriou, Associate Professor E-mail: chsotiriou@e-ce.uth.gr
Title	Characterisation of LN2 UUI
Duration	2019 – 2023
Site	https://caslab.e-ce.uth.gr/

Scientific Responsible	Christos Sotiriou, Associate Professor E-mail: chsotiriou@e-ce.uth.gr
Title	Qualcomm Faculty R&D Award 2019
Duration	2019 – 2023
Site	https://caslab.e-ce.uth.gr/

Title	BigOptiBase
Duration	2019 – 2022
Site	http://www.bigoptibase.gr/

Department of Electrical and Computer Engineering
Sekeri – Cheiden Str Pedion Areos, ECE Building 383 34 Volos – Greece
Tel.	+30 24210 74967
e-mail	gece ΑΤ e-ce.uth.gr
PGS Tel.	+30 24210 74934
PGS e-mail	pgsec ΑΤ e-ce.uth.gr
Fax	+30 24210 74997

Subject Area	Applications and Foundations of Computer Science
Semester	Semester 4 – Spring
Type	Required
Teaching Hours	5
ECTS	6
Prerequisites	ECE115 Programming I ECE113 Calculus I ECE117 Linear Algebra
Course Site	https://courses.e-ce.uth.gr/ECE220/
Course Director	Panagiota Tsompanopoulou, Associate Professor E-mail: yota@e-ce.uth.gr
Course Instructors	Athanasios Fevgas, Laboratory Teaching Staff E-mail: fevgas@e-ce.uth.gr George Paliaroutis, Collaborating Instructor E-mail: gepaliar@e-ce.uth.gr Pelopidas Tsoumanis, Collaborating Instructor E-mail: petsouma@e-ce.uth.gr

Description
Learning Outcomes

1.Theory:

Floating-point arithmetic.
Methods of function and data approximation with polynomials, partially polynomial functions(splines) and Fourier series.
Numerical methods for solving linear and nonlinear systems of equations (direct and iterative methods) .
Numerical approximation of matrices’eigenvalues and eigenvectors.
Numerical integration and differentiation.
Methods for solving ordinary and partial differential equations .

2. Lab sessions:

MATLAB Programming: data structures (vectors, arrays and complex numbers ), control structures, definition and function calls .
MATLAB programming of numerical methods (taught in theory). Introduction and use of MATLAB toolboxes.
Creation of two (2) and three (3) dimensions graphs.
Creation of Graphical User Interfaces (GUIs).
Interaction of MATLAB with FORTRAN and C.
Introduction to object-oriented programming.

The course aims to give students the necessary knowledge and tools to solve known mathematical problems arising directly problems from hardware and telecommunications (including solution of systems of linear and nonlinear equations, solution of differential equations, data approximation, etc.). MATLAB software, which is well known and used by engineers and computer scientists, makes it possible to implement and study the methods presented in theory.

Upon successful completion of this course the student will :

Have a great understanding on how to solve linear systems by direct and iterative methods and will be able to choose the proper method per problem.
Have knowledge of basic methods of solving systems of nonlinear equations.
Have knowledge of data approximation and interpolation methods using polynomials/splines and/or trigonometric functions (Fourier).
Have knowledge in basic numerical methods of finite differences differentiation and integration, which will be extremely useful for the numerical solution of differential equations.
Be able to understand the effect of finite arithmetic errors and errorsof methods in numerical results.
Have basic knowledge of MATLAB software and its toolboxes.

Active Research Projects

MORCIC: Model Order Reduction of Electromagnetic Models for Large Integrated Circuits

SL-ReDu: Sign Language Recognition in Education

Characterisation of LN2 UUI

Qualcomm Faculty R&D Award 2019

BigOptiBase

e-Yπηρεσίες