```{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/)

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 with the following information.  It might be helpful to use this R markdown file as a template (see below).

*  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?
*  Are you in London?  What time zone are you in?
*  Do you have a reliable internet connection
*  Have you used the UCL VPN?
*  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?

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#   Version: `r format(Sys.time(), '%d %B %Y')`
[R Markdown source](https://tsoo-math.github.io/ucl2/hello-R-2001.Rmd)
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