Measurement
an introduction
 Single file

Lecture files
 01.00 Theoretical foundations
 01.01 Mathematical measurement theory
 01.02 Operationalism conventionalism and realism
 01.03 Information theoretic descriptions of measurement
 01.04 Model based descriptions of measurement
 01.05 Epistemology of measurement
 02.00 Signals
 02.01 Types of signals
 02.02 Fourier series
 02.03 Fourier transforms
 02.04 Sampling
 02.05 Nyquist sampling theorem aliasing and reconstruction
 02.06 Discrete Fourier transforms
 02.07 Problems for Chapter 02
 03.00 Measurement systems as dynamic systems
 03.01 Dynamic system representations
 03.02 Zeroth order measurement systems
 03.03 First order measurement systems
 03.04 Second order measurement systems
 03.05 Second order measurement systems
 03.06 Transient response characteristics
 03.07 Transient response characteristics
 03.08 Properties of linear time invariant systems
 03.09 Response to periodic inputs
 03.10 Phase linearity
 03.11 Problems for Chapter 03
 04.00 Probability statistics and estimation
 04.01 Probability and measurement
 04.02 Introduction to set theory
 04.03 Basic probability theory
 04.04 Independence and conditional probability
 04.05 Bayes' theorem
 04.06 Populations samples and machine learning
 04.07 Random variables
 04.08 Probability density and mass functions
 04.09 Expectation
 04.10 Central moments
 04.11 Estimation of sample mean and variance
 04.12 Confidence
 04.13 Student confidence
 04.14 Multivariate probability and correlation
 04.15 Regression
 05.00 Uncertainty analysis
 05.01 Design stage uncertainty analysis
 05.02 Functional propagation of uncertainty
 05.03 Rigorous uncertainty analysis
 06.00 Electricity measurement
 06.01 Instrumentation for electricity measurement
 06.02 Measuring resistance well
 07.00 Digital measurement
 08.00 Temperature measurement
 09.00 Pressure and velocity measurement
 10.00 Flow measurement
 11.00 Strain measurement
 12.00 Sensors actuators and control
 A.00 Algebra and trigonometry reference
 A.01 Quadratic forms
 A.02 Trigonometry
 B.00 Distribution tables
 B.01 Gaussian distribution table
 C.00 Bibliography
This page contains fillin notes on Measurement lectures from the course ME 315.
For source code from the lectures, see the source code page.
Single file
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Lecture files
Click the thumbnails on the notes below to get a pdf version.