Learning objectives
To learn how to:
- plan simple quantitative esperiments
- to estimate the statistical and systematic errors
- to use a versatile computer program (e.g. octave/matlab) to analise the results
Prerequisites
Basic matematical skills
Course unit content
Seven simple experiments, and their data analysis, from statistical errors to best fit of mathematical model functions to the experimental data.
Full programme
- - -
Bibliography
J.R. Taylor, An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements, University Science Books
Teaching methods
16 hours (2 CFU) lectures,
Physics and computing Laboratory for 48 hours (4 CFU). See European Credit Transfer System for the translation of 1 CFU.
Assessment methods and criteria
Seven group reports, one for each experiment, plus a written paper. Final grades are assigned jointly with the second part of this course, in the II semester, based on similar marks in the second part, plus a final individual discussion of one among all the experimental reports
Other information
This part is offered in the I semester, see also II Part (II semester)