engineering-probability

A collection of educational simulations developed in Python for the Engineering Probability course at K. N. Toosi University of Technology – including Galton board and other probabilistic models.

a Python and Jupyter Notebook implementation of NumPy exercises, Condorcet-style majority-vote analysis, and Naive Bayes spam-email classification. This project was developed as Computer Assignment Zero for the Engineering Probability and Statistics course at the University of Tehran.

An R and Jupyter Notebook implementation of statistical-distribution simulations, binomial-normal approximation analysis, exponential memorylessness, and random-variable transformations. This project was developed as the First Computer Assignment for the Engineering Probability and Statistics course at the University of Tehran.

a Python and Jupyter Notebook implementation of Bayesian estimation, queue-system joint distribution analysis, and correlation/causality analysis. This project was developed as the Second Computer Assignment for the Engineering Probability and Statistics course at the University of Tehran.

a Python and Jupyter Notebook implementation of central-limit-theorem experiments, MSE-based parameter estimation, and binomial normal approximation. This project was developed as the Third Computer Assignment for the Engineering Probability and Statistics course at the University of Tehran.