```{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?

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