1. Course Title | Measurement Systems and Data Acquision | |||||||
2. Code | 3ФЕИТ03Л012 | |||||||
3. Study program | EAOIE | |||||||
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 | IV/8 | 7. Number of ECTS credits | 6.00 | |||||
8. Lecturer | Dr Mare Srbinovska | |||||||
9. Course Prerequisites | Passed: Fundamentals of electrical engineering | |||||||
10. Course Goals (acquired competencies): The course is designed to provide knowledge for development of data acquisition measurement systems. |
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11. Course Syllabus: Introduction in data acquisition measurement systems, architecture of data acquisition measurement systems, basics of measurement systems based on microprocessors. Signal conditioning and data transmission, single-ended and differential-ended signals. Amplification. Filtering. Galvanic isolation. AD conversion. Characteristics of AD converters. Sources of noise in data acquisition measurement systems, capacitive coupling, electromagnetic distortion, surge and transients. |
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12. Learning methods: Lectures and recitations with presentations and simulations, teacher-student interaction, homework, projects. | ||||||||
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 | 30 | ||||||
16.2. Individual tasks | 30 | |||||||
16.3. Homework and self-learning | 45 | |||||||
17. Grading | 17.1. Exams | 20 | ||||||
17.2. Seminar work/project (presentation: written and oral) | 20 | |||||||
17.3. Activity and participation | 10 | |||||||
17.4. Final exam | 50 | |||||||
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 | Regular attendance of the lectures, numerical and laboratory exercises. | |||||||
20. Forms of assessment | Two partial exams (in the middle and at the end of the semester with duration of 120minutes) are planned, including tests and project tasks which will be presented during the semester. Students who have passed the partial exams are considered that have passed the final written exam. In the final grade, the points are imposed from partial exams, tests, and project tasks |
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21. Language | Macedonian and English | |||||||
22. Method of monitoring of teaching quality | Self-evaluation | |||||||
23. Literature | ||||||||
23.1. Additional Literature | ||||||||
No. | Author | Title | Publisher | Year | ||||
1 | Measurement Computing Corporation | Data Acquisition Handbook | MC measurement computing | 2012 | ||||
2 | Keithley | Data Acquisition and Control Handbook | Keithley | 2007 |