Courses Catalogue

Mechanical Engineering Measurements

ACADEMIC PROGRAMME: Mechanical Engineering, Bsc
COLLEGE/SCHOOL/FACULTY: School of Engineering and Applied Sciences
PROGRAMME TYPE: Undergraduate

Course Description

In this course, experimental measurement techniques utilized in experimental mechanics are

discussed and performed. Specifically, experiments pertaining to: stress/strain, displacement, velocity, acceleration, force, thermophysical properties of materials, and fluid mechanics will be discussed in lecture and performed in the laboratory. The topics of: probability and statistics, discrete and continuous probability distributions, test statistics, classical and robust test  of  significance,  measurement  and  uncertainty,  design  of  experiments,  regression

analysis, applications in analysis of engineering experiments are explored.


Upon course, completion students should have a working understanding of precision measurements and the engineering design process. Students will be familiar with how to approach engineering measurements, what uncertainty in measurements means in practice, and how to statistically examine engineering data in design.


At the end of this course, the student should be able to:

  •  The principles of measurement.
  •  The principles of uncertainty of measurements.
  • The principles of temperature, viscosity, pressure and flow measurement and the corresponding instrumentation.
  •  The principles of digital sampling.
  •  The principles of signal conditioning/filtration.
  •   Methods of automated data acquisition and data processing.


The student will have:

  •    An ability to apply the principles of uncertainty to data analysis from instrument measurement of a variety of properties.
  •   An ability to analyze the response of instruments that are first order systems
  •  An ability to operate instruments and measurement systems to measure the properties of temperature, viscosity, pressure, flow, and strain.
  •   An ability to apply the principles of digital sampling and signal conditioning to measurement instruments.
  •  An ability to write reports describing experimental setups, data collection, data analysis, and data presentation.
  •  An ability to work in groups and present results to a group.
  •  An ability to use software and hardware for automated data acquisition.
  •  An ability to synthesize an individual automated data acquisition project.