Mechanical Engineering
 

Engineering Measurements

Engineering Measurements
Fundamental concepts of measurement systems, characteristics of sensor signals, data acquisition, sensors, uncertainty analysis.
ME EN
362
 Hours3.0 Credit, 2.0 Lecture, 3.0 Lab
 PrerequisitesME EN 330 & ME EN 335 & STAT 201; Engl 316 or concurrent enrollment.
 TaughtFall, Winter, Summer
 ProgramsContaining ME EN 362
Course Outcomes: 

Measurement Concepts and Calibration

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

Spectral Analysis

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

Time and Frequency Response

3. Students will understand how the concepts of time and frequency response and will be able to apply these concepts to anlyze measurement systems.

Data Acquisition and Signal Conditioning

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

Experience with Sensors

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

Uncertainty Analysis

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

Learning to Write about Experimental Results

7. Students will learn to write the summary and conclusion sections of a report, and demonstrate their ability to write a full formal report to document experimental results.

Practice Documenting Experimental Results

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

Real World Application

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