Computer Simulation of Logistics Processes I

1) Introduction to modelling and simulation.
2) Witness simulation software – basic elements, input and output rules.
3) Witness simulation software – basic functions, probability distributions in Witness.
4) Introduction to discrete simulation.
5) Event-based algorithms.
6) Activity-based algorithms.
7) Methods of generating pseudo-random numbers.
8) Methods of transformation of pseudo-random numbers.
9) Exploratory data analysis – random sample characteristics.
10) Exploratory data analysis – large random sample processing, graphical representation.
11) Point estimation of probability distribution parameters.
12) Interval estimations of mean value.
13) Normality testing - Pearson\'s goodness-of-fit test.
14) Reserve.