```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```


# Introduction

Welcome!  I would like to get to you a bit. But first

* Download/Install [R](https://www.r-project.org/)
* Download/Install [R studio](https://rstudio.com/)
  * Download/Install [R markdown](https://rmarkdown.rstudio.com/)
  * Install  [R bookdown](https://bookdown.org/yihui/bookdown/get-started.html)
  * Install [Tinytex](https://yihui.org/tinytex/)
* Download/Install [Quarto](https://tsoo-math.github.io/ucl3/quarto.html) the new and fancy version of R Markdown.  

Not only can you type run R code, you can produce html and pdf files with math and R code together!  Roughly speaking R studio is an easy way to use R, and R markdown is a language easily generates html files with R code and math symbols, allowing the use of basic [Latex](https://en.wikibooks.org/wiki/LaTeX/Mathematics) code; it is how I generates many of the html pages for our module.

#  Getting to know you

Please send me an *html* file generated using R markdown (Quarto) with the following information.  It might be helpful to use the [hello-0009.qmd](https://tsoo-math.github.io/ucl/hello-0009q.qmd) as a template.

*  Name
*  What programme/course are you in? BSc/Msc?
*  What year are you in?
*  Your favourite math/stats equation, say for example:
$\sum_{i=1}^n i = \frac{n(n+1)}{2}$ or
$$ \mathbb{E} g(X) = \int_{-\infty} ^{\infty} g(x) f_X(x) dx$$
or
$$ \frac{d}{dx} \int_0 ^x f(u)du = f(x)$$
*  Why are you taking this module
*  What skills do you hope to obtain after taking the module?
*  Have you taken Stat 0007 at UCL?
*  Have you taken a module elsewhere that dealt with Markov chains?
*  Have you used R before?
*  What is your favourite show/movie?  For example: [Condor Heroes](https://www.youtube.com/watch?v=jC1rTOLNGBY) 
*  What is your favourite song?  For example:  [Delicate](https://www.youtube.com/watch?v=tCXGJQYZ9JA)
*  Do you have any other concerns?

<br>

# Endnotes

[qmd Source](https://tsoo-math.github.io/ucl/hello-0009q.qmd)

Version: `r format(Sys.time(), '%d %B %Y')`


<br>
<br>
<br>


