Computational Physics Laboratory

The course aims to provide basic notions of some computational tools (C++, shell and scripting languages, python, LaTex), and "Data Science" skills, in the sense of reasoned and model-driven data analysis, data visualization and effective communication of scientific results. The main features of this course are the use and conceptualization of advanced data analysis tools through their use, with a clear plan and clear objectives. The course provides the technical and scientific background essential to work on the "data challenge" projects.

At the end of the course, the student will have to master an essential technical background which includes C++, Shell scripting, AWK, Python, data visualization and statistical data analysis tools. S/he will also be able to use technical skills in "data challenges", projects that start from a dataset and aim to extract the main trends. This also implies the acquisition of critical skills in the interpretation and understanding of trends in the data. Finally it is expected that the students will be able to communicate their results and their work in reports (written in English) that include plots and illustrative figures.