This repository contains a series of educational mini-projects implemented in Python as part of the Engineering Probability course (Winter 2023), under the supervision of Dr. Bahareh Akhbari. These simulations were used to support student learning, and I contributed as a TA (Teaching Assistant) in designing and coding these exercises.
Simulates a Galton board using random left/right decisions to show how the binomial distribution approximates the normal distribution.
📎 Example Output:
Visualizes how the sum of i.i.d. random variables from exponential and uniform distributions evolves toward a normal shape, demonstrating the Central Limit Theorem.
📎 Exponential:
📎 Uniform Sum:
Models a simple real-world scenario using a uniform distribution to simulate bus delays and calculate probabilities of waiting, with histogram analysis.
📎 Delay Histogram:
- Python 3.x
- numpy
- matplotlib
- scipy.stats
Project questions and translated descriptions are available in the docs/ folder.
📎 Engineering_Probability_Project_Translated.docx
Dr. Bahareh Akhbari Department of Electrical Engineering K. N. Toosi University of Technology
Aliakbar Mohsennejad Undergraduate Student & Teaching Assistant Electrical Engineering – Digital Systems
engineering-probability python-simulation ta-projects kntu undergraduate probability-distributions data-visualization