Skip to content

TMasak/StatComp

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

67 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

MATH-517 Statistical Computation and Visualization

Please read up on the course organization.

For questions, try to use the Moodle forum, if appropriate (often answers can be helpful for other students as well), or contact me (for lecture-related) or the TA (for exercise- or assignment-related) directly.

All course materials will gradually come here, in this repo. This includes:

  • Slides used during the lectures,
  • Notes, i.e. lecture notes, the basis for the slides,
    • not available for Weeks 1 and 3
    • preliminary form available in advance (until the end of the semester)
  • Manuals on specific topics.
    • mostly for the first couple of weeks

For Starters

Clicking on an .html file here in GitHub does not render the page, you just see the HTML code. To render the page, put the following string in front of the respective URL: https://htmlpreview.github.io/?

For example, clicking here opens HTML code of the GitHub manual, but clicking here will render the page for display. This will soon not be needed once you have your RStudio <-> GitHub connection set up and this repo cloned on your local machine (then you will simply open any document on your machine, without coming here to GitHub).

The procedure above only works for public repos, like this one. For your private repos, you need to first need to view the raw HTML code (like here) and then append your link (which will look substantially different in case of your private repos - there will be a special token generated at the end of it) with the preview string above. The token is time limited, so please do not use this for Moodle submissions.

Acknowledgements

This course was partially inspired by various previously existing courses, and the credit goes to their creators:

  • Marek Omelka, Charles University (course notes),
  • Peter Bühlmann and Martin Mächler, ETHZ (course notes),
  • Guillaume Dehaene, EPFL,
  • Jaromír Antoch, Charles University,
  • Mehdi Gholam, EPFL.

About

EPFL MATH-517 course materials 2022/23

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages