Linda Mhalla
EPFL SB MATH-GE
CM 1 618 (Bâtiment CM)
Station 10
1015 Lausanne
Web site: Web site: https://math.epfl.ch/
Web site: Web site: https://sma.epfl.ch/
Teaching & PhD
Teaching
Mathematics
Courses
Bioinformatic Analysis of RNA-sequencing
This course will take place from 3rd to 7th June 2024.
It will introduce the workflows and techniques that are used for the analysis of bulk and single cell RNA-seq data. It will empower students to understand and analyze their own data.
Probability and statistics
The course introduces the basic notions of probability and statistical inference, with an emphasis on the main concepts and the most commonly used methods.
Applied statistics
The course will provide an overview of everyday challenges in applied statistics through case studies. Students will learn how to use core statistical methods and their extensions, and will use computational and problem-solving tools to provide reproducible solutions for the problems presented.
Statistical computation and visualisation
The course will provide the opportunity to tackle real world problems requiring advanced computational skills and visualisation techniques to complement statistical thinking. Students will practice proposing efficient solutions, and effectively communicating the results with stakeholders.