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ENPH 252 Mangmt Of Experimental Data Units: 1.25
Error and uncertainties in experimental measurement, the propagation of errors. Probability and the Binomial, Poisson and Gaussian distribution functions, fitting of Poisson and Gaussian distributions to a sample population. Linear least-squares fitting, chi-squared. The graphical treatment and presentation of data; regression and power law analyses.
COURSE DELETED 2021-2022
(Lec: 1, Lab: 0, Tut: 0.25)
COURSE DELETED 2021-2022
(Lec: 1, Lab: 0, Tut: 0.25)
Offering Term: W
CEAB Units:
Mathematics 8
Natural Sciences 0
Complementary Studies 0
Engineering Science 6
Engineering Design 0
Offering Faculty: Faculty of Arts and Science
Course Learning Outcomes:
- Determine and justify errors in measurements.
- Propagate errors from measurements and understand the limitations in different methods to propagate errors.
- Understand various statistical distributions and how they arise in physical processes.
- Use statistical distributions to determine the confidence in a conclusion or measurement.
- Use computers to analyze and visualize data.
- Determine the parameters of a model from data and evaluate the goodness of fit of that model.