Numerical modeling (ETF EEO NM 4760) |
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General information |
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Module title | Numerical modeling |
Module code | ETF EEO NM 4760 |
Study | ETF-B |
Department | Electric Power Engineering |
Year | 1 |
Semester | 1 |
Module type | Elective |
ECTS | 5 |
Hours | 60 |
Lectures | 35 |
Exercises | 15 |
Tutorials | 10 |
Module goal - Knowledge and skill to be achieved by students |
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| The goal of this course is to enable students to formulate, analyze and use numerical methods for solving complex problems pertaining to the power system described by partial differential equations. <br> Emphasis is placed on the formulation of physical problems through mathematical problems, numerical discretization of continuous problems in discrete problems, and on development of basic computer code which can simulate different types of fields using different numerical analysis techniques. <br> |
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Syllabus |
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| Introduction to numerical electromagnetic. <br> Review of vector analysis and field theory. <br> Overview of numerical methods for solving the field problems (finite differences, finite elements, boundary elements, method of moments). <br> Numerical modeling of electrostatic, quasistatic and transient problems. <br> Numerical modeling of electromagnetic fields: static / quasistatic problems (linear / nonlinear problems); modeling Foucault currents, transient problems; highfrequency problems. <br> Numerical modeling of thermal and mechanical problems. <br> Modeling mutually composite problems (electromechanical, electrothermal, thermomechanic). <br> |
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Literature |
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Didactic methods |
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| Course lessons are taught by the professor in lecture halls, and followed by demonstration and solving of practical examples and mathematical equations/graphs. Additionally, students spend time on tutorials and lab-exercises. They resolve specific problems pertaining to their theses, using available or student-developed software. Goal of these activities is to enable students to get hands-on, practical experience in this area, as well as to gauge students' knowledge through assigned papers and exams (mid-term, as well as final). <br> |
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Exams |
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| During the course students earn points according to the following system: <br> - Attending classes and tutorials: 10 points; a student with more than three absences from lectures and/or tutorials will not be eligible to get these points. <br> - Home assignments, laboratory reports and/or final thesis: maximum of 10 points. <br> - Mid-term and final exams: a student can score up to 20 points on each exam (passing grade is 10 points). <br> During each of the two exams (time assigned is 90 minutes) students will solve simple questions designed to examine whether students acquired basic theoretical knowledge multiple choice problems, as well as one open-answer problem. Students who gain less than 20 points during one semester must re-take that course. <br> Students who earn 40 or more points during the semester are eligible for taking a final exam; the exam asks the student to discuss mathematical problems from the mid-term exam and home assignments, as well as to answer to simple questions related to general course topics. <br> A student can score a maximum of 40 points on the final oral exam (passing threshold is 20 points). A student who gets less than this minimum, must take a makeup oral exam. <br> A student who earns 20 points or more, and less than 40 points during the whole semester will have to take a makeup exam. The makeup exam is organized in the following manner: <br> - Written part is structured similarly to mid-term written exam, during which students will have to solve problems in which they failed on their mid-term exams (got less than 10 points). <br> - Oral part of the exam is structured in the same way as the oral part of the final exam. <br> |
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Aditional notes |
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