| 1. | Course Title | Computer-based Measurement Systems and Virtual Instrumentation | |||||||||||
| 2. | Code | 4ФЕИТ03002 | |||||||||||
| 3. | Study program | 15-MMK | |||||||||||
| 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 Zhivko Kokolanski | |||||||||||
| 9. | Course Prerequisites | ||||||||||||
| 10. | Course Goals (acquired competencies):
Knowledge of computer-based measurement systems, characteristics and architectures. Understanding the data acquisition hardware characteristics. Understand the process of designing, implementing, documenting, and testing critical virtual instrumentation. |
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| 11. | Course Syllabus:
Introduction to computer-based measurement systems. Development of hierarchical, scalable, readable, and maintainable virtual instrumentation. Reduction of development time and improvement of application stability. Advanced programming architectures and synchronization. Multithreading and multitasking concepts in computer-based measurement systems. Telemetry and data transmission. Communication standards and instrumentation drivers. |
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| 12. | Learning methods:
Lectures, projects and individual tasks |
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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 | 30 points | |||||||||||
| 17.2 | Seminar work/project (presentation: written and oral) | 50 points | |||||||||||
| 17.3. | Activity and participation | 20 points | |||||||||||
| 17.4. | Final exam | 0 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 | none | |||||||||||
| 20. | Forms of assessment | exam, project task, scientific paper | |||||||||||
| 21. | Language | Macedonian and English | |||||||||||
| 22. | Method of monitoring of teaching quality | Self-evaluation | |||||||||||
| 23. | Literature | ||||||||||||
| 23.1. | Required Literature | ||||||||||||
| No. | Author | Title | Publisher | Year | |||||||||
| 1. | Rick Bitter, Taqi Mohiuddin, Matt Nawrocki | LabView: Advanced Programming Techniques, Second Edition | CRC Press | 2006 | |||||||||
| 2. | Maurizio Di Paolo Emilio | Data Acquisition Systems: From Fundamentals to Applied Design | Springer | 2013 | |||||||||
| 3. | Dan Necsulescu, R. Baican | Applied Virtual Instrumentation | WIT Press | 2000 | |||||||||
| 23.2. | Additional Literature | ||||||||||||
| No. | Author | Title | Publisher | Year | |||||||||
| 1. | National Instruments | LabVIEW Core 3 | National Instruments | 2014 | |||||||||
| 2. | J.Beyon | Labview Programming, Data Acqusition and Analysis | Prentice Hall | 2001 | |||||||||
