The objective of the trainings is to introduce the participants of the trainings to game theory, methods of solving dilemmas through theory and practice, explain what the Swanson method is and why it is (in certain situations) better for estimating the middle of a sample distribution than the usual arithmetic mean.

For the participants of the trainings, integrating business games are developed and conducted, customized taking into account the work tasks of the participants.

After training completion students should: know the essence of random variables and probability distributions (discrete and continuous, symmetric and asymmetric); understand the difference between discrete and continuous probabilistic laws, as well as the need for approximation; be able to characterize probability distributions; know how to estimate the “true” average value from the available empirical distribution;
be able to apply the acquired skills for calculations on decision trees.

— Accounting for uncertainty in investment projects
— Training on game theory