| 1. | Course Title | System Identification and Estimation | |||||||||||
| 2. | Code | 4ФЕИТ01005 | |||||||||||
| 3. | Study program | 6-ARSI | |||||||||||
| 4. | Organizer of the study program (unit, institute, department) | Faculty of Electrical Engineering and Information Technologies | |||||||||||
| 5. | Degree (first, second, third cycle) | Second cycle | |||||||||||
| 6. | Academic year/semester | I/1 | 7. | Number of ECTS credits | 6.00 | ||||||||
| 8. | Lecturer | Dr Dushko Stavrov | |||||||||||
| 9. | Course Prerequisites | ||||||||||||
| 10. | Course Goals (acquired competencies):
To introduce the students to and allow them to master the techniques of contemporary system identification, which will enable them to solve a very large domain of identification problems in different fields – technical as well as non technical. |
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| 11. | Course Syllabus:
Mathematical models of linear dynamic systems and stochastic signals, identification of non-parametric models in the frequency domain – continuous time signals, identification of non-parametric models with correlation analysis – continuous and discrete time, identification with parametric models – discrete time signals, identification with parametric models – continuous time signals, identification of multi-variable systems, identification of non-linear systems, identification software tools, applications |
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| 12. | Learning methods:
Slide presentations, interactive lectures, exercises (use of equipment and software), teamwork, case studies, invited guest lecturers, independent preparation and defense of project and seminar work, learning in digital environment (forums, consultations). |
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| 13. | Total number of course hours | 180 | |||||||||||
| 14. | Distribution of course hours | 3 + 3 | |||||||||||
| 15. | Forms of teaching | 15.1 | Lectures-theoretical teaching | 45 hours | |||||||||
| 15.2 | Exercises (laboratory, practice classes), seminars, teamwork | 45 hours | |||||||||||
| 16. | Other course activities | 16.1 | Projects, seminar papers | 30 hours | |||||||||
| 16.2 | Individual tasks | 30 hours | |||||||||||
| 16.3 | Homework and self-learning | 30 hours | |||||||||||
| 17. | Grading | ||||||||||||
| 17.1 | Exams | 0 points | |||||||||||
| 17.2 | Seminar work/project (presentation: written and oral) | 50 points | |||||||||||
| 17.3. | Activity and participation | 0 points | |||||||||||
| 17.4. | Final exam | 50 points | |||||||||||
| 18. | Grading criteria (points) | up to 50 points | 5 (five) (F) | ||||||||||
| from 51 to 60 points | 6 (six) (E) | ||||||||||||
| from 61 to 70 points | 7 (seven) (D) | ||||||||||||
| from 71 to 80 points | 8 (eight) (C) | ||||||||||||
| from 81 to 90 points | 9 (nine) (B) | ||||||||||||
| from 91 to 100 points | 10 (ten) (A) | ||||||||||||
| 19. | Conditions for acquiring teacher’s signature and for taking final exam | Successfully completed project assignment. | |||||||||||
| 20. | Forms of assessment | The students are obliged to complete and present a project assignment during the semester. A final written and/or oral exam is scheduled during the exam sessions. The students complete the course if they pass the final exam and had previously completed and presented the project assignment during the semester. The final grade takes into account the points from both the final exam and the project assignment. | |||||||||||
| 21. | Language | Macedonian and English | |||||||||||
| 22. | Method of monitoring of teaching quality | internal evaluation and surveys | |||||||||||
| 23. | Literature | ||||||||||||
| 23.1. | Required Literature | ||||||||||||
| No. | Author | Title | Publisher | Year | |||||||||
| 1. | Rolf Isermann, Marco Munchhof | Identification of Dynamic Systems: An Introduction with Applications | Springer | 2010 | |||||||||
| 23.2. | Additional Literature | ||||||||||||
| No. | Author | Title | Publisher | Year | |||||||||
| 1. | Ljung Lennart | System Identification: Theory for the User | Prentice-Hall Inc. | 1998 | |||||||||
