Modelling

BMSTU IU7, semester 7.

Simulation of stochastic systems: random number generation, Markov chains, queueing systems modelled event by event, and the same systems rebuilt in GPSS for comparison. Desktop interfaces in PyQt6.

Structure

Path	Topic
lab-01-random-generators	Linear congruential generator, uniformity tests
lab-02-markov-chains	Markov process, steady-state probabilities
lab-03-distributions	Distribution laws and their parameters
lab-04-queueing-system	Queueing system, event-driven simulation
lab-05-information-center	Information centre: three operators, two hosts
lab-06-information-center-gpss	The same centre expressed in GPSS
lab-07-gpss-queue	GPSS: minimal queue size with no losses
lab-08-gpss-information-center	GPSS: rejection probability of the centre
docs	Lectures and title pages

Labs 4-6 share a layout: models/ for the simulation core, gui/ for the PyQt6 windows, constants.py for parameters, report/ for the LaTeX report.

Run

pip install numpy scipy matplotlib PyQt6
cd lab-05-information-center && python main.py

Stack

Python, NumPy, SciPy, PyQt6, GPSS