MEGR 3171: Intro to Measure & Instrum
University of North Carolina, Charlotte
Statistical analysis of experimental data, curve fitting. Operational amplifiers and signal conditioning techniques for remote monitoring. Discussion of the principles involved in the use of sensors and transducers in measurements of linear and angular displacement, velocity and acceleration, temperature, force, pressure, torque and flow. Introduction to dynamic measurements and frequency analysis.
Average GPA: 3.54
Grade distribution records: 2,333 students across 32 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 1,542 | 66.1% |
| B | 502 | 21.5% |
| C | 179 | 7.7% |
| D | 35 | 1.5% |
| F | 19 | 0.8% |
| W | 55 | 2.4% |
Based on 2,333 student grade records across 32 terms and 9 professors.
Instructors
- John Mcalpine 1,643 students, Average GPA 3.79
- Roger Tipton 314 students, Average GPA 3.20
- Stuart Smith 203 students, Average GPA 2.54
- Jonathan Beaman 93 students, Average GPA 2.43
- Pouria Karimi Shahri 28 students, Average GPA 3.36
- Collin Hague 18 students, Average GPA 3.56
- Nicholas Kakavitsas 17 students, Average GPA 3.25
- Mohammadnavid Golchin 12 students, Average GPA 3.75
- Amirhossein Ghasemi 5 students, Average GPA 4.00