SylabUZ
| Course name | Advanced data analysis methods |
| Course ID | 13.2-WF-FizD-ADAM-S19 |
| Faculty | Faculty of Physics and Astronomy |
| Field of study | Physics |
| Education profile | academic |
| Level of studies | Second-cycle studies leading to MS degree |
| Beginning semester | winter term 2019/2020 |
| Semester | 3 |
| ECTS credits to win | 4 |
| Available in specialities | Computer Physics |
| Course type | obligatory |
| Teaching language | english |
| Author of syllabus |
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| The class form | Hours per semester (full-time) | Hours per week (full-time) | Hours per semester (part-time) | Hours per week (part-time) | Form of assignment |
| Lecture | 30 | 2 | - | - | Exam |
| Laboratory | 30 | 2 | - | - | Credit with grade |
To acquaint the students with selected advanced methods of the data analysis and different approaches to an assessment of the statistical confidence of the results.
Measurement data analysis.
Fundamentals of programming.
Chi2 test, application of the Student's distribution.
Simulation methods of the probability distributions.
Bootstrap methods.
Spearman's and Kendall's rank-order tests.
Elements of the probability theory within the Jaynes' approach.
Analysis of variability and images.
Data analysis solutions recommended by Particle Data Group.
Cluster analysis.
Model comparison, Akaike test and others.
Lecture, classes, computer laboratory, discussion.
| Outcome description | Outcome symbols | Methods of verification | The class form |
Laboratorium - pozytywna ocena z kolokwium (50%) i przygotowanie sprawozdania z opracowania wybranego zagadnienia z analizy danych (50%).
Wykład - pozytywna ocena z egzaminu pisemnego.
Ocena końcowa - średnia z ocen z laboratorium i egzaminu.
1. Nowak R., Statystyka dla fizyków, PWN, Warszawa, 2002
2. Brandt S., Analiza danych, PWN, Warszawa, 1998
3. Koronacki J., Mielniczuk J., Statystyka dla studentów kierunków technicznych i przyrodniczych.
1. Bevington P.R., Robinson D.K., Data Reduction and Error Analysis for the Physical Sciences, McGraw-Hill Education, New York, 2003
2. Jaynes E.T., Probability Theory: The Logic of Science, Cambridge University Press, 2003
3. Bretthorst G.L, Bayesian Spectrum Analysis and Parameter Estimation, Springer, 1988
Modified by dr hab. Piotr Lubiński, prof. UZ (last modification: 05-03-2020 18:41)
