Engineering Measurement and Data Analysis MSE 210 (3)
An introduction to methods to collect and analyse engineering data. Topics include the Engineering data representation, Discrete and continuous probability density functions, Engineering measurements, Error analysis, Introduction to sensor interfaces, Introduction to physical sensors, Introduction to sensor signal conditioning, Noise, Test of hypotheses, Linear and nonlinear regression, and Design of experiments. Prerequisite: PHYS 141 or equivalent. MATH 150 or MATH 151. Students with credit for ENSC 280 or PHYS 231 may not take MSE 210 for further credit.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
Flavio Firmani |
Jan 4 – Apr 7, 2017: Mon, 8:30–10:20 a.m.
Jan 4 – Apr 7, 2017: Wed, 8:30–9:20 a.m. |
Surrey Surrey |
|
| LAB1 |
Flavio Firmani |
Jan 4 – Apr 7, 2017: Wed, 4:30–7:20 p.m.
|
Surrey |
| LAB2 |
Flavio Firmani |
Jan 4 – Apr 7, 2017: Thu, 11:30 a.m.–2:20 p.m.
|
Surrey |
| OPL1 |
Jan 4 – Apr 7, 2017: Mon, 10:30 a.m.–12:20 p.m.
|
Surrey |