Digital Systems & Sensors

LEARNING OUTCOMES

Upon successful completion of the course, students are expected to:

• Describe and interpret the phenomena that take place in measuring systems.
• select the appropriate signal conditioning circuits for measuring physical and other quantities through sensors
• detect possible interferences in a measurement environment and to suggest techniques to limit them
• evaluate types of sensors by examining their principle of operation, the signal conditioning circuits, their precision characteristics, their dynamic characteristics, their applications as well as their calibration techniques
• Use measurement data collection systems and develop corresponding applications in a graphical programming environment.
• organize the basic structure of applications in wireless and wired metering networks
• Recognize common interface protocols as well as interface software systems at the level of communication and applications
• Develop solutions on popular platforms for rapid development of integrated metering systems in order to be able to implement original metering devices and data visualization systems.
• Compile systems for measuring, recording, processing and analysis of geoinformatics data (UAV recording platforms, mobile mapping, atmospheric measurements, etc.)
• Evaluates the quality of data received from sensor networks that has developed.

 

General Competences

• Search, analyze and synthesize data and information, using both necessary technologies
• Project planning & management
• Autonomous work in an interdisciplinary environment
• Promotion of free, creative and inductive thinking
• Decision making
• Time management – Working with deadlines

 

SYLLABUS

1. Introduction to measurement technology – Noise management
2. Computer systems – communication protocols
3. Platforms for rapid prototyping of integrated systems
4. Wireless and Wired Networks
5. Sensor interface protocols with microcontrollers and computer systems
6. Principles of operation and types of basic sensors – Characteristics of sensors
7. Environmental sensors
8. Geosensors
9. Optical sensors
10. Atmospheric sensors
11. Interface standardization of interconnected digital devices – software for digital systems connection
12. Digital system data transfer protocols in wired or wireless e-communication
13. Data visualization platforms

 

STUDENT PERFORMANCE EVALUATION

Assessment language: Greek (English for ERASMUS students upon request)
Performance evaluation method:
• Final Written Exam (50% of the final grade) of graded difficulty, which include short-answer questions, open-ended questions and solving simple problems.
• Evaluation of laboratory work (30% of the final grade) from lab work
• Evaluation of project (20% of the final grade)

The evaluation criteria have been presented to the students before the final examination. Students can see their evaluation upon request and receive clarifications on their grades.

 

ATTACHED BIBLIOGRAPHY

Suggested bibliography (in Greek):
1. Καλοβρέκτης Κ., Κατέβας Ν., 2014. Αισθητήρες Μέτρησης και Ελέγχου. Εκδόσεις Τζιόλα,Θεσσαλονίκη.
2. BentleyJohnP., 2009, Συστήματα Μετρήσεων – Βασικές Αρχές ̧ Εκδόσεις ΙΩΝ, Αθήνα
3. Γαστεράτος, Ι., Μουρούτσος , Κ., Ανδρεάδης, Κ., 2013, Τεχνολογία μετρήσεων – Αισθητήρια,εκδόσεις Τσότρα, Αθήνα
4. Λουτρίδης, Σ. 2008, Τεχνολογία Μετρήσεων & αισθητήρων, Εκδόσεις Σ. Παρίκου , Αθήνα

Suggested bibliography (in English):
1. Henry Leung, Subhas Chandra Mukhopadhyay, 2015, Intelligent Environmental Sensing, Springer, New York
2. Park, J., Mackay, S., 2003, Practical data acquisition for instrumentation and control systems, Elsevier, Netherlands
3. Mukhopadhyay, S., Jiang, J.A., 2013, Wireless Sensor Networks and Ecological Monitoring,Springer, Berlin