Patrick Loiseau is currently Assistant Professor within the Department of Data Science where he teaches statistics, game theory and network economics.
Prior to joining EURECOM, he taught in the areas of physics, computer architecture, probability and signal processing at Ecole Normale Supérieure de Lyon, University of Versailles Saint-Quentin-en-Yvelines and University of California, Santa Cruz.
Stat / Fall 2017 - Statistical data analysis
This course is an introduction to statistics. The goal is to provide students with simple and efficient statistical methods to analyze data in order to answer questions such as: 'Is this performance improvement significant?', 'What is the uncertainty on that result?', 'How can I predict a new output of my system based on measurements?', 'Which factors have a significant impact on the performance of my system?', and more ; as well as to familiarize the students with statistical reasoning to mathematically analyze the methods presented.
Teaching and Learning Methods : The course has theoretical lectures complemented by labs for students to practice statistics and data analysis (using the MATLAB software), and homeworks for students to fully assimilate the material.
Course Policies : Attendance to the exercise session / labs is mandatory
- Best Student Demonstration award at ACM Sigmetrics/Performance 2009, for the demo "Automated traffic measurements and analysis in Grid'5000", with Romaric Guillier, Oana Goga, Matthieu Imbert, Paulo Goncalves and Pascale Vicat-Blanc Primet.