Descriptif

The aim of this course is to provide students with a working knowledge of basic mathematical algorithms and associated computer programming. We will cover several notions such as representation of numbers, rootfinding, polynomial approximation, numerical integration, and error analysis. A significant portion of the course will be devoted to implementation and experiments using Jupyter Notebooks with Python.

Grading

The grading will be based on the following elements:

1.  Very short tests (approx. 5min) at the beginning of the second lecture of each chapter, to ensure that you remember the main notions introduced during the first lecture of the chapter. 
2. A final exam (2h), during which you will have to complete a notebook with both theoretical answers (Markdown and Latex), code (Python), and illustrations. Authorized material during the exam: the notebooks used in the course that are provided on Moodle, as well as personnal class/lab notes.
3.  
4. A final exam (2h), during which you will have to complete a notebook with both theoretical answers (Markdown and Latex), code (Python), and illustrations. Authorized material during the exam: the notebooks used in the course that are provided on Moodle, as well as personnal class/lab notes.

The final grade will be computed as follows:

max(final exam, 2/3*final exam + 1/3*short tests).