Add mini-projects.md

mini-projects.md

+# Mini projects
+
+## Objectives
+
+This mini-project aims to allow the students to practice their programming
+skills in Python in a project of their choice.
+
+The last practice session will be dedicated to these projects but you can
+already think about it and even start to work.
+
+## Description
+
+The choice of the topic is completely free as long as the student hands a
+personal job which relies on Python programming. If possible, this mini-project
+can be coupled with projects from other classes followed by the student in this
+semester.
+
+*Note 1: Students are advised to discuss with one of the teachers about their
+topic before starting. You can open a dedicated issue in
+https://gricad-gitlab.univ-grenoble-alpes.fr/meige-legi/scientific-computing-m2-efm.*
+
+*Note 2: An indicative personal workload for the mini-project is about 6 hours
+in addition of the last practice session. This information should help the
+student to choose a topic which will not require an unreasonable time
+investment.*
+
+## Evaluation
+
+The students have to put the code in a Gitlab project hosted on
+<https://gricad-gitlab.univ-grenoble-alpes.fr>. To ease the evaluation, we ask
+you to use a particular name: `miniproject-scientific-computing2020` (so that
+the full address is
+`https://gricad-gitlab.univ-grenoble-alpes.fr/your-username/miniproject-scientific-computing2020`).
+
+You will have to post the address of the Gitlab project of your mini-project in
+a message in the [issue
+#1](./-/issues/1).
+
+Then, the evaluation of these mini-projects will be done through a short oral
+sessions (~ 10 minutes) where the students will be asked to present their work.
+It will corresponds to half of the practical session grade.
+
+## Examples of mini-projects
+
+### Monte Carlo Integration
+
+Read about the Monte Carlo integration numerical method (e.g.
+https://en.wikipedia.org/wiki/Monte_Carlo_integration). In a similar way to
+what will be done in the practice session, investigate and illustrate pros and
+cons of this method. How does it compare to other methods that you know about ?
+In which situation can it be useful ?
+
+### Animation of particles in a box
+
+Use Matplotlib to create an (interactive) animation of colliding particles in a
+box. An extension to this project could be to link this animation to the ideal
+gas law.
+
+### A Machine Learning Problem
+
+Choose a ML classical problem (e.g. from the Kaggle database:
+https://www.kaggle.com/competitions) and try to tackle the problem. This is
+related to topics that will be treated in one of the practice session.
+Dynamical Website