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Person

Linda Marchand

Courses taught by this person (7)

MATH-131: Probability and statistics

Le cours présente les notions de base de la théorie des probabilités et de l'inférence statistique. L'accent est mis sur les concepts principaux ainsi que les méthodes les plus utilisées. ...

MATH-663: 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 ...

MATH-517: 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 communicati ...

MATH-516: 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 reproducibl ...

MATH-383: Risk and environmental sustainability

This course gives an introduction to the assessment of risk with a particular focus on modelling of rare events, which can have huge environmental impacts. ...

BIO-693(a): Bioinformatic Analysis of RNA-sequencing (Fall)

Due to its success, this course will take place from 1st to 5th September 2025 in room AAC 0 20. It introduces the workflows and techniques that are used for the analysis of bulk and single-cell RNA-seq data. It empowers students to understand and analyze ...

BIO-693(b): Bioinformatic Analysis of RNA-sequencing (Spring)

This course will take place in June 2026, from 8th to 12th. Place to be determined. It introduces the workflows and techniques that are used for the analysis of bulk and single-cell RNA-seq data. It empowers students to understand and analyze their own da ...