About us

About the course

Format

  • Every Monday till the end of the year:

    • 10 am - 12.45 pm
    • Ruppert 031
    • The first part of every meeting will be a lecture.
    • Every second part will be hands-on / Q&A

If you cannot make a meeting; I’d like to know beforehand.

I’d strongly suggest to participate in every meeting

Topics

  1. Intro to \(\LaTeX\) and \({Bib}\TeX\)
  2. Beamer-presentations and equations
  3. Tables and Figures
  4. Reproducible workflows with rMarkdown
  5. Version control and GitHub repositories
  6. Presentations with rMarkdown
  7. GitHub pages and Shiny
  8. \(\star\) Showcase your progress

\(\star\) In week 8 you have to showcase what you have mastered in this course.

Exercises

To develop the necessary skills for completing this course, 7 exercises (weeks 1-7) must be made and submitted:

  • These exercises are not graded, but students must fulfil them to pass the course.
  • Exercises have to be handed in before the next meeting.
  • Answers will be posted after the next meeting.

Grading

The final grade is computed as follows:

Topic % of Total
Markup manuscript 30%
Research repository 30%
Personal repository 10%
Shiny app 15%
Visual presentation 15%

Good to know

Grading considers concepts like visual appearance, readability, usefulness, efficiency of the code. Grading does not consider the theoretical or qualitative properties of the content!

Contact

If you need any help outside of class hours, see this link

  • send me an e-mail at G.Vink@uu.nl’ containing your question or a MWE:

    • if your problem is with \(\LaTeX\), please send me your ‘.tex’ and (if relevant) ‘.bib’ file.
    • if your problem is with R, send me the code and source files

  • Whatsapp: If you’re really in a pickle and need a blazingly fast response

  • G+ Hangouts: If the problem warrants video and screen sharing, I’ll invite you to a G+ hangout

Goal of this course

Learn the skills and tools to present yourself and your work.

Useful for: a phd, career in data science, being at the state-of-the-art in markup programming.

What to do (not in any definitive order)

  1. Perform a (monte carlo) simulation study
  2. Create a scientific manuscript
  3. Program your simulation such that it creates a data archive
  4. Publish this archive to GitHub
  5. Tell people about yourself on GitHub
  6. Showcase your findings through a shiny web-app
  7. Create a presentation about your simulations

Before next meeting

\(\LaTeX\)

LaTeX

LaTeX is a document preparation system

  • its goal is typesetting
  • it produces high quality type-set documents
  • publishers use it
  • you can virtually produce anything in document form with LaTeX

  • it provides you with a system to focus solely on writing

    • you do not have to worry about the layout, etc. LaTeX does.

An example

I’ll demonstrate to you a typical LaTeX document.

If you could not make it to class, and you feel the exercises are not sufficient for getting you started; please ask me: I’ll be happy to show you in real life or through G+ Hangouts.