Software Tools in Power Engeenering

Последна измена: March 31, 2023
1. Course Title Software Tools in Power Engeenering
2. Code 4ФЕИТ04Л023
3. Study program ЕЕПМ
4. Organizer of the study program (unit, institute, department) Faculty of Electrical Engineering and Information Technologies
5. Degree (first, second, third cycle) First cycle
6. Academic year/semester III/6 7. Number of ECTS credits 6
8. Lecturer D-r Atanas Iliev
9. Course Prerequisites Passed: Programming and Algorithms
10. Course Goals (acquired competencies): Obtaining practical knowledge and skills for using modern software packages and tools for solving specific engineering and managerial problems as well as modeling and visualization of physical processes in power engineering. Ability for preparing technical documentation and technical presentations by modern software applications
11. Course Syllabus: Methodology for solving engineering problems. MATLAB (GNU Octave) – introduction, basic programming, M-files. Matrix operations and solving systems of linear and nonlinear equations and application for short current circuit calculation. Statistical analysis and analysis of business data and data from power plants. Fuzzy arithmetic, Visualization and graphic processing of data and processes in power engineering. Creating custom functions, solving numerical and power engineering optimization problems. Approximation and forecasting in power systems and management. Software tools for development of engineering technical documentation. Standards, criteria and rules for designing technical text, graphics, multimedia. Rules for the preparation of a technical presentation and its presentation to the specific audience. Advance MS Excel and its add-ins (Solver, Goal Seek, Scenario Manager) application in solving engineering problems,
12. Learning methods: Lectures supported by presentations, interactive lectures, exercises with solving practical examples, individual homeworks.
13. Total number of course hours 3 + 1 + 1 + 0
14. Distribution of course hours 180
15. Forms of teaching 15.1. Lectures-theoretical teaching 45
15.2. Exercises (laboratory, practice classes), seminars, teamwork 30
16. Other course activities 16.1. Projects, seminar papers 0
16.2. Individual tasks 20
16.3. Homework and self-learning 85
17. Grading 17.1. Exams 30
17.2. Seminar work/project (presentation: written and oral) 0
17.3. Activity and participation 10
17.4. Final exam 60
18. Grading criteria (points) up to 50 points 5 (five) (F)
from 51to 60 points 6 (six) (E)
from 61to 70 points 7 (seven) (D)
from 71to 80 points 8 (eight) (C)
from 81to 90 points 9 (nine) (B)
from 91to 100 points 10 (ten) (A)
19. Conditions for acquiring teacher’s signature and for taking final exam Regular attendance on lectures and completion of the homeworks, laboratory exercises and project assignments
20. Forms of assessment Through two partial written exams (duration of 2 hours each) or a final written exam on the whole teaching material (duration 2 hours). The points from the partial exams/final exam are included in the final grade.
It is not allowed to use books, scripts, manuscripts or notes of anykind, mobile phone, tablet or any other electronic device during the exam.
21. Language Macedonian and English
22. Method of monitoring of teaching quality Internal evaluations and surveys
23. Literature
23.1. Required Literature
No. Author Title Publisher Year
1 Brian D. Hahn Daniel T. Valentine Essential MATLAB for Engineers and Scientists Academic Press is an imprint of Elsevier 2919
2 Атанас Илиев Софтверски алатки во ЕЕ – предавања и презентации ФЕИТ – Скопје 2020
3 Microsoft MS Office 2016 – Reference Manual Microsoft Press 2016
23.2. Additional Literature
No. Author Title Publisher Year
1 Z. Stojković Design by computers in the electric power systems ETF Beograd 2003
2 А. Gillat Matlab – An Introduction with Application John Willey & Sons Inc 2011