Engineering Measurements

Engineering Measurements
Fundamental concepts of measurement systems, characteristics of sensor signals, data acquisition, sensors, uncertainty analysis.
 Hours2.0 Credit, 1.5 Lecture, 1.5 Lab
 PrerequisitesME EN 335 & STAT 201; Engl 316 or concurrent enrollment; concurrent enrollment in Me En 312.
 TaughtFall, Winter, Summer
 ProgramsContaining ME EN 362
Course Outcomes

Measurement Concepts and Calibration

1. Students should be familiar with concepts of measurement such as accuracy, precision, bias error, random error, and static sensitivity. Students should be able to calibrate a measurement system.

Spectral Analysis

2. Students should understand the basics of spectral analysis and how to interpret the frequency content of a signal.

Time and Frequency Response

3. Students should understand how the concepts of time and frequency response apply to measurement systems.

Data Acquisition and Signal Conditioning

4. Students should gain experience with data acquisition and signal conditioning. Students should understand the sampling process, how aliasing can occur, and how it can be prevented.

Experience with Sensors

5. Through laboratory exercises and projects, students should gain hands-on experience with a variety of sensors, such as strain gages, thermocouples, pressure transducers, and optical sensors.

Uncertainty Analysis

6. Students should be able to perform a basic uncertainty analysis for a measurement system.

Learning to Write about Experimental Results

7. Students should learn how to write a summary and conclusion for a report, and how to write a full formal report to document experimental results.

Practice Documenting Experimental Results

8. Students should practice clear, concise, and convincing communication by writing a memo report and a full formal report. The full report should include an uncertainty analysis from measured data.

Real World Application

9. Students will apply measurement procedures to real world problems.