Uusi opinto-opas (sisältäen myös opetusohjelmat) lukuvuodelle 2018-2019 sijaitsee osoitteessa https://opas.peppi.utu.fi . Tältä sivustolta löytyvät enää vanhat opinto-oppaat ja opetusohjelmat.

The new study guide (incl. teaching schedules) for academic year 2018-2019 can be found at https://studyguide.utu.fi. This site contains only previous years' guides.

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Archived teaching schedules 2016–2017
You are browsing archived teaching schedule. Current teaching schedules can be found here.
TÄHT7023 Statistical methods 6 ECTS
Period I Period II Period III Period IV
Language of instruction
Type or level of studies
Advanced studies
Course unit descriptions in the curriculum
MDP in Astronomy and Space Physics
Department of Physics and Astronomy

Learning outcomes

The student will understand and be able to:
write programs that can be run on real data or self programmed artificial data;
calculate mean, standard deviations, and other statistical parameters;
evaluate when normal distribution is a suitable approximation and when other probability distributions are needed;
understand the meaning and difference between "sigma" and confidence levels;
calculate estimates for the confidence levels of a set of measurements;
compare statistical parameters from different datasets or to model data;
quantify whether a small deviation observed in the data is significant;
plan observations based on statistical requirements for the data;
understand that Pearson's correlation coefficient and linear regression are fully independent measures of the data;
understand that all correlations need not to be linear;
perform a least squares fit to a dataset and critically evaluate when it is a sensible thing to do;
evaluate when non-parametric tests are more suitable for analysis of the data;
understand the concepts of time series analysis in evenly spaced and unevenly spaced data;
evaluate the goodness of a random number generator in one's simulations;
understand the conceptual difference and similarities between a direct and an inverse problem;
evaluate when a bayesian analysis method is suitable for problem solving;
make a real attempt for a bayesian analysis solving.

Teacher responsible

Harry Lehto

Homepage URL


6-Sep-2016 – 19-Oct-2016
Lectures 28 h
Tue 6-Sep-2016 - 18-Oct-2016 weekly at 14.00-16.00, Qh314
27-Sep-2016 , Ei luentoa/No lecture
Wed 7-Sep-2016 - 19-Oct-2016 weekly at 12.00-14.00, Qh314
28-Sep-2016 , Ei luentoa/No lecture
Exercises 12 h
Fri 16-Sep-2016 - 14-Oct-2016 weekly at 14.00-16.00, Qh314
30-Sep-2016 , Peruutettu/Cancelled