Measurement Systems and Data Acquision

Последна измена: November 28, 2022
1. Course Title Measurement Systems and Data Acquision
2. Code 4ФЕИТ03Л010
3. Study program NULL
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 7. Number of ECTS credits 6
8. Lecturer D-r Mare Srbinovska
9. Course Prerequisites
10. Course Goals (acquired competencies): The course is designed to provide knowledge for development of data acquisition measurement systems.
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.
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 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 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.
21. Language Macedonian and English
22. Method of monitoring of teaching quality Self-evaluation
23. Literature
23.2. Additional Literature
No. Author Title Publisher Year
1 Measurement Computing Corporation Data Acquisition Handbook MC measurement computing 2012