Statistics for astronomers 1100-3A10
Basics of the probability theory
Random variables
Representative probability distributions
Definition of statistics
Estimators
Maximum likelihood method
Least squares method
Parameter estimation, confidence regions
Hypothesis testing
Stochastic processes
Transformations, periodograms, bootstrap, jackknife, MCMC
All problems are illustrated by astronomical examples
Main fields of studies for MISMaP
astronomy
Course coordinators
Mode
Prerequisites (description)
Learning outcomes
Knowledge
K_W03 – advanced knowledge of higher mathematics and mathematical methods used in astronomy and physics
Skills
K_U01 – ability to use higher mathematics in the description and modelling of astrophysical phenomena
K_U03 – ability to critically analyse observational and computational results and assess their accuracy
Social Competences
K_K01 – readiness for lifelong learning
Assessment criteria
2 written tests, oral exam
Practical placement
N/A