All course materials will come here, in this repo. Check out this manual from the previous course (MATH-517 Statistical Computation and Visualization, a mandatory prerequisite, the course repo here) to see how to pull this repo (do not manually download the slides, etc.).
Moodle will only be used for formal submission (a link to a Github repo to be uploaded into the respective Moodle assignment).
See the slides for Week 1.
Project 1 is mandatory (deadline on Sunday, March 5) and the course is tagged “without withdrawal”, meaning that whoever submits Project 1 is committing to the course and will eventually get a grade.
This course was partially inspired by various existing courses, and the credit goes to their creators:
- Michal Kulich & Arnost Komarek, Charles University,
- Bin Yu, UC Berkeley,
- Reinhard Furrer, University of Zurich,
- Claudia Klüppelberg, Technical University of Munich,
- Juliette Blanchet (Université Grenoble Alpes) & Jennifer Wadsworth (Lancaster University), previously EPFL,
- Mehdi Gholam, EPFL.
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