Test, Measurement and Instrumentation Engineering

EEG 540 provides a comprehensive exploration of advanced topics in test, measurement, and instrumentation engineering, essential for modern electronics systems. Students will delve into the theoretical foundations and practical applications necessary for designing, implementing, and validating high-performance measurement systems. Key areas of study include the rigorous analysis of measurement uncertainty, ensuring the reliability and accuracy of experimental data, and advanced techniques for sensor conditioning to optimize signal integrity. The course further examines the critical selection and application of analog-to-digital converters (ADCs), considering trade-offs in resolution, speed, and noise performance for various applications. Emphasis is placed on the architecture and development of automated test systems, integrating hardware and software components for efficient and repeatable measurements. Finally, students will master principles of calibration and validation, crucial for maintaining measurement traceability and compliance with industry standards. This course equips future engineers with the expertise to tackle complex measurement challenges in diverse technological fields.

Course outline

Lectures, virtual labs, and graded assignments — completed in your browser.

01Introduction to Measurement Systems and Metrologylecture

02Fundamentals of Measurement Uncertainty Analysislecture

03Statistical Methods for Uncertainty Quantificationlecture

04Advanced Sensor Technologies and Principleslecture

05Signal Conditioning and Analog Front-End Designlecture

06Noise Reduction Techniques in Measurement Systemslecture

07Analog-to-Digital Converter (ADC) Architectures and Selectionlecture

08Data Acquisition System Design and Interfacinglecture

09Introduction to Automated Test Equipment (ATE)lecture

10Software Development for Automated Test Systemslecture

11Virtual Instrumentation and Data Processinglecture

12Principles of Calibration and Traceabilitylecture

13System Validation and Performance Verificationlecture

14Case Studies and Advanced Instrumentation Topicslecture

Syllabus

Week 1: Introduction to Measurement Systems and Metrology
Week 2: Fundamentals of Measurement Uncertainty Analysis
Week 3: Statistical Methods for Uncertainty Quantification
Week 4: Advanced Sensor Technologies and Principles
Week 5: Signal Conditioning and Analog Front-End Design
Week 6: Noise Reduction Techniques in Measurement Systems
Week 7: Analog-to-Digital Converter (ADC) Architectures and Selection
Week 8: Data Acquisition System Design and Interfacing
Week 9: Introduction to Automated Test Equipment (ATE)
Week 10: Software Development for Automated Test Systems
Week 11: Virtual Instrumentation and Data Processing
Week 12: Principles of Calibration and Traceability
Week 13: System Validation and Performance Verification
Week 14: Case Studies and Advanced Instrumentation Topics