A MATLAB project which applies the central limit theorem on PDFs and CDFs of different probability distributions.

A courseware module that covers the fundamental concepts in probability theory and their implications in data science. Topics include probability, random variables, and Bayes' Theorem.

These projects were part of the course Data Analysis (ECE Department, AUTH, 7th semester).

Probability Methods for Informatics Engineering (University of Aveiro)

Observation on the Implication of Central Limit Theorem

Implemented algorithms from a numerical stochastic methods university course

This repository houses a comprehensive Graphical User Interface (GUI) tool designed for analyzing and visualizing random variables (RVs) and random processes (RPs). The tool allows users to input specific values and parameters of RVs and RPs, enabling the generation of statistical data, graphical representations, and calculations related