Information sheet ECTS Syllabus
Course syllabus I-PMP - Computer modelling of Electromagnetic Field (FEEIT - SS 2015/2016)
|University:||Slovak University of Technology in Bratislava|
|Faculty:||Faculty of Electrical Engineering and Information Technology|
|Course unit code:||I-PMP|
|Course unit title:||Computer modelling of Electromagnetic Field|
|Mode of delivery, planned learning activities and teaching methods:|
|Recommended semester/trimester:||Applied Electrical Engineering - master (semi-compulsory), 2. semester|
Measurement and Information Technology - master (semi-compulsory), 2. semester
|Level of study:||2.|
|Prerequisites for registration:||none|
|For problems solving in exercises every student is given a maximum of 60 points. Students must complete all the exercises. For the exam, student can earn maximum of 40 points. Minimum number of points to obtain credit is 20. The maximum score for the entire course is 100 points. Final evaluation of the student's mark is in the current study rules.|
|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.
|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, Mathematica, MathCad. Open source equivalents Octave, MAXIMA - 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:|
|Language of instruction:||slovak or english|
|For organizational reasons the exercise capacity is limited to a maximum of 24 students per group.|
|Assessed students in total: 11|
|Name of lecturer(s):||doc. Ing. Jozefa Červeňová, PhD. (instructor) - slovak, english |
Ing. Branislav Korenko, PhD. (instructor) - slovak, english
doc. Ing. Ľubomír Šumichrast, CSc. (examiner, instructor, lecturer, person responsible for course) - slovak, english
|Last modification:||27. 5. 2015|
|Supervisor:||doc. Ing. Ľubomír Šumichrast, CSc. and programme supervisor|
Last modification made by RNDr. Marian Puškár on 05/27/2015.