Today

• Course introduction, logistics.

• Computer languages.

• Introduction to Julia programming.

Course material

All lecture notes are Jupyter Notebooks. It is a good idea to learn by running through the code examples. You can do this in several ways.

Run in Binder

Easiest way to run the Jupyter Notebooks is Binder, a free service that allows us to run Jupyter Notebooks in cloud. Simply follow the Binder link at https://ucla-biostat-257-2021spring.github.io/schedule/schedule.html.

If you want the JupyterLab interface, replace the tree by lab in the URL.

Run locally on your own computer

1. Download and install Julia v1.6.0 from https://julialang.org/downloads/. On Mac, use Bash command

   sudo ln -s /Applications/Julia-1.6.app/Contents/Resources/julia/bin/julia /usr/local/bin/julia
   

   to create a symbolic link so julia command is available anywhere in the terminal.

2. Git clone the course material.

   git clone https://github.com/ucla-biostat-257-2021spring/ucla-biostat-257-2021spring.github.io.git
   

3. Enter the folder ucla-biostat-257-2021spring.github.io.git on Terminal.

4. Open Julia within that folder, type ] to enter the package mode, then type

   activate .
   resolve
   

   to install necessary packages.

5. In Julia REPL, type

   using IJulia
   jupyterlab(dir = pwd())
   

   to open the JupyterLab in browser or

   using IJulia
   notebook(dir = pwd())
   

   to open a Jupyter notebook.

6. Course material is updated frequently. Remember to git pull to obtain the most recent material.