# MXB101 - Probability and Stochastic Modelling 1

## Dr Alexander Browning

### Semester 1, 2022

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## Downloads

Lecture notes download: [MXB101 Lecture Notes PDF](https://www.github.com/Tarang74/MXB101/raw/main/MXB101%20Lecture%20Notes.pdf)

Exam notes download: [MXB101 Exam Notes PDF](https://www.github.com/Tarang74/MXB101/raw/main/MXB101%20Exam%20Notes.pdf)

Thanks to [rjboas](https://github.com/rjboas) for the collaboration.

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This repository provides **lecture notes** and **exam notes** for **MXB101 - Probability and Stochastic Modelling 1**.

*The contents of the lecture notes are described below.*

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## Contents

1. Introduction
2. Combinatorics
3. Stochastic Models
4. Central Limit Theorem
5. Bivariate Distributions
6. Markov Chains
7. Poisson Processes

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[![license](https://forthebadge.com/images/badges/cc-nc-sa.svg)](http://creativecommons.org/licenses/by-nc-sa/4.0/)

This work is licensed under a [Attribution-NonCommercial-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-nc-sa/4.0/).


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