Knowledge of probabilities to describe real phenomena and ability to construct stochastic models, and their statistical analysis.

Empirical distributions, histograms, description of uncertainty, probability spaces, stochastic quantities, stochastic independence, law of large numbers, central limit theorem, fundamental theorem of statistics, Bayesian statistics, and linear regression analysis.

für InformatikerInnen

schriftlich und mündlich

Ausführliches Skriptum zur Vorlesung mit integrierten Übungsaufgaben.