# Courses and Training # DCSR Courses We are organising courses on a regular basis. Here are the topic addressed for the moment: Introductory courses: - [Introduction to Linux](https://wiki.unil.ch/ci/books/cours-pour-le-personnel-et-les-doctorantes-unil/page/research-introduction-to-linux-commands-and-tools-for-hpc) - [Introduction to reproductible research with version control](https://wiki.unil.ch/ci/books/cours-pour-le-personnel-et-les-doctorantes-unil/page/research-introduction-to-reproducible-research-using-version-control) - [Introduction to using the HPC clusters](https://wiki.unil.ch/ci/books/cours-pour-le-personnel-et-les-doctorantes-unil/page/research-introduction-to-using-the-hpc-clusters), video available [here](https://formations.unil.ch/course/view.php?id=506). - [Running applications with R, Python and Containers](https://wiki.unil.ch/ci/books/cours-pour-le-personnel-et-les-doctorantes-unil/page/research-running-pythonr-applications-and-containers-on-the-clusters), video available [here](https://formations.unil.ch/course/view.php?id=511). Research techniques: - [A Gentle Introduction to Deep Learning with Python and R](https://wiki.unil.ch/ci/books/cours-pour-le-personnel-et-les-doctorantes-unil/page/research-a-gentle-introduction-to-deep-learning-with-python-and-r) - [A Gentle Introduction to Decision Trees and Random Forests with Python and R](https://wiki.unil.ch/ci/books/cours-pour-le-personnel-et-les-doctorantes-unil/page/research-a-gentle-introduction-to-decision-trees-and-random-forests-with-python-and-r) - [Parallel computing with R, Python and Julia](https://wiki.unil.ch/ci/books/cours-pour-le-personnel-et-les-doctorantes-unil/page/research-introduction-to-parallel-computing-with-python-julia-and-r) More courses to come soon! You can find the dates and registration process there: [https://courses.unil.ch/ci](https://courses.unil.ch/ci) The slides of the courses are available [HERE](http://dcsrs-courses.ad.unil.ch/). Don't hesitate to suggest ideas for new courses related to the use of the clusters (for instance: parallel programming with OpenMP/MPI, application profiling, …) at this address: