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Sensors and Signal Conditioning: A Hands-On Approach
Build practical skills in sensor characterization, signal processing, data acquisition, and instrumentation systems
Created byS. Fouziya Sulthana
Last updated 6/2026
English
What you'll learn
- Analyze and design fundamental signal conditioning circuits including operational amplifier-based differentiators, integrators, instrumentation amplifiers.
- Understand the operating principles and characteristics of common industrial sensors
- Perform practical sensor interfacing and data acquisition tasks using laboratory instruments, DSOs, DAQ hardware, and LabVIEW software
- Develop complete sensor measurement systems by integrating sensors, signal conditioning circuits
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Course content
4 sections • 14 lectures • 2h 8m total length
Requirements
- Basic knowledge of electrical and electronic circuits. Familiarity with Ohm's law, Kirchhoff's laws, and fundamental electronic components. Basic understanding of operational amplifiers is helpful but not mandatory, as a revision module is included. A desire to learn practical sensor interfacing and measurement techniques. Access to a computer for viewing LabVIEW and DAQ demonstrations (optional but recommended). No prior experience with sensors, data acquisition systems, or LabVIEW is required.
Description
Sensors and Signal Conditioning – A Practical Approach is a comprehensive, hands-on course designed to help learners understand how physical quantities are measured, conditioned, acquired, and analyzed in modern engineering systems. The course bridges the gap between theoretical concepts and practical implementation by combining fundamental principles with real laboratory demonstrations.
The course begins with a revision of operational amplifier concepts and progresses to the analysis and derivation of key signal conditioning circuits, including differentiators, integrators, instrumentation amplifiers, precision rectifiers, and active low-pass and high-pass filters. Learners will gain a clear understanding of how these circuits are used to process sensor outputs for accurate measurement and control applications.
In addition to signal conditioning, the course covers the characteristics and practical usage of widely used sensors such as load cells, pressure sensors, MEMS sensors, and thermocouples. Through guided experiments and demonstrations, learners will learn how to characterize sensor performance, interpret measurement data, and troubleshoot common issues.
The course also introduces essential measurement and instrumentation tools, including Digital Storage Oscilloscopes (DSOs), Data Acquisition (DAQ) hardware, and LabVIEW programming for data collection and visualization. By the end of the course, learners will be able to develop complete sensor-based measurement systems for applications in automation, robotics, industrial monitoring, biomedical engineering, and research laboratories.
Who this course is for:
- Undergraduate and postgraduate students in Mechatronics, Electronics, Electrical, Instrumentation, Mechanical, Biomedical, and Robotics Engineering.
- Anyone interested in learning how real-world sensor signals are acquired, conditioned, measured, and analyzed.