Introductory data analysis 1100-1INZ26
This course has not yet been described...
Type of course
After completing the course student:
1. Knows what are the standards for estimating and presenting uncertainties of measurements accepted in natural sciences.
2. Knows the standards for describing experimental set-ups and presenting experimental results accepted in natural sciences.
1. Presents experimental results in the form of graphs or histograms.
2. Uses graphs and histograms to detect relations between measured quantities.
3. Estimates uncertainties of measurements.
4. Uses least-squares method to estimate parameters of linear relations between measured quantities.
5. Uses statistical tests: the 3σ test and the χ2
Positive note for a test in solving typical, simple problems in data-analysis.
1. J. R. Taylor, An Introduction to Error Analysis, Oxford University Press, Oxford, 1992.
2. G. L. Squires, Practical Physics, McGraw-Hill, London, 1976.
1. W. T. Eadie, D. Drijard, F. E. James, M. Roos, and B. Sadoulet, Statistical Methods in Experimental Physics, North-Holland, Amsterdam, 1971
2. S. Brandt, Data Analysis, Springer Verlag, New York, 1999.
Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes:
- Nuclear Power Engineering and Nuclear Chemistry, full time 3 year programme leading to B. Sc. Degree
- Nanostructure Engineering, first cycle programme
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: