Linda Mhalla

EPFL SB MATH-GE
CM 1 618 (Bâtiment CM)
Station 10
1015 Lausanne

+41 21 693 74 43
Office:  CM 1 618
Office:  MA A1 417
Office:  MA A1 417
EPFL > SB > MATH > MATH-GE

Web site:  Web site:  https://math.epfl.ch/

Web site:  Web site:  https://sma.epfl.ch/

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Administrative data

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.

Statistical consulting and collaborations

Analyzing data for a collaborator or client is very different from working on your own research project ; not only do you need competences in statistics, you must also ensure good communication (both ways) in a multi-disciplinary environment, coordination of the work, and the management of everyone.