Course

Introduction to measurement systems and sensors, Overview of Introduction to Arduino and Raspberry-PI, Static and Dynamic Characteristics of measurement systems: Systematic Characteristics, Generalized model, Calibration errors , Review of Op-Amp Circuit, passive-and active-filters, Accuracy of measurement systems in steady state: Measurement error, Error probability function, Error reduction techniques, Physics -Principles and Applications of sensing elements, Thermal sensors, Mechanical sensors, Optical Sensors Intelligent measurement systems, Introduction to scalar and vector data type sensors, Analog to digital Converters, analog and Digital processing of sensor values.

Course Objectives

The main objective of this course is to familiarise the students with various sensing technologies and various sensors used in engineering. Students will be inspired to collect data using sensors and analyse& interpret the collected data. Further, the course will focus on equipping the students to interface various sensors with computing platforms.

Course Outcomes

Course Evaluation Pattern:

Internal – 75%

• Assignments – 50% (20 assignments with equal credit)
• Quiz- 25% (5 Quizzes with equal credit)

External – 25%

• Project – 25%

1. E.O. Doebelin, D.N. Manik, Measurement systems, 6/E, Tata McGraw Hill, New Delhi, 2011.
2. J.P.Bentley, Principles of Measurement systems, 4/E, Pearson education ltd, UK, 2005.
3. G.C.M. Meijer, Smart Sensor Systems, Vol 10, John Wiley and Sons, UK, 2008.
4. Alan S. Morris, R. Langari, Measurement and Instrumentation; Theory and Application, Academic Press, USA, 2012.