Information sheet ECTS Syllabus
Course syllabus I-PMP - Computer modelling of Electromagnetic Field (FEEIT - SS 2018/2019)
|University:||Slovak University of Technology in Bratislava|
|Faculty:||Faculty of Electrical Engineering and Information Technology|
|Course unit title:||Computer modelling of Electromagnetic Field|
|Course unit code:||I-PMP|
|Mode of completion and Number of ECTS credits:||Exam (6 credits)|
|Name of lecturer:||doc. Ing. Jozefa Červeňová, PhD. (examiner, instructor, lecturer, person responsible for course) - slovak, english|
|Learning outcomes of the course unit:|
|Completing the course the student will understand the principles numerical methods for solving of 1D, 2D and 3D field problems. Students will be able to compare the analytical procedures with numerical approach .and will have the ability to assess the suitability of various numerical methods to solve different types of situations in the electromagnetic field as for stationary cases, as well as for dynamic fields.
He will use special numerical methods suitable to the implementation of tasks related to mathematical models of electromagnetic fields. Will be able to assess errors arising from the used methods.
He will be acquainted with basic features and principles of open source and commercial software resources used to solve complex problems of electromagnetic fields.He obtains good programming skills in using these resources.
|Prerequisites and co-requisites:||none|
|Electromagnetic field as a fundamental physical concept, properties of fields. Basic types of electromagnetic fields models. Analytical models, discrete models. Numerical differentiation. Numerical integration. Numerical approximation of electromagnetic field equations. Differential equations. Approximation of boundary conditions. Choosing the optimal methods to solve specific tasks. Finite-difference method. Monte Carlo method. Method of Exodus. Interpolation. Moment method. Finite Element Method. Solving dynamic problems - method of state equations, discrete wave equation.
Commercial software MATLAB, open source equivalent Octave - basic features.
After understanding of the nature of learned numerical algorithms students verify solution of tasks on their computers so that they can write several own algorithms or use commercially made numerical software.
|Recommended or required reading:|
|Planned learning activities and teaching methods:||Lectures, seminars, computation exercises, discussions, group work, solving of individual projects, presentation of projects solving results, individual study.|
|Assesment methods and criteria:||tasks for solving during semester, solving of tasks, individual projects, final exam (written and oral)|
|Language of instruction:||Slovak, English|
|Work placement(s):||There is no compulsory work placement in the course unit.|
Last modification made by doc. Ing. Mikuláš Bittera, PhD. on 04/19/2018.