Course 16 | Core

Measurements and Instrumentation

Plan tests, reduce data, estimate uncertainty, calibrate sensors, and report evidence, grounded in the theory and design of mechanical measurement.

Core

Course snapshot

Purpose
Measurements and Instrumentation turns physical data into evidence for design, simulation, control, and engineering decisions.
Prerequisites
Next in the guided sequence

Numerical Methods for Mechanical Engineers

Used in Career Directions

How to study this course

  1. Define the measured quantity
  2. Choose sensor and instrument chain
  3. Calibrate or check against a reference
  4. Collect data carefully
  5. Estimate uncertainty
  6. Turn results into an engineering claim
01

How this course is designed

Theory before instruments

The first half builds the measurement framework, calibration, signals, dynamic response, statistics, and uncertainty, before the second half applies it to real transducers. The instruments make sense because the theory came first.

Uncertainty runs throughout

Every reading becomes a value with a confidence. Statistics and uncertainty analysis are the spine of the course, so results are reported as evidence a design can rely on, not bare numbers.

Worked numbers throughout

Every module includes two fully worked examples with verified arithmetic. Calibration slope, time constant, uncertainty, and gauge factor recur until they are second nature.

02

The 10 modules