Concept

Analyse séquentielle

Cours associés (14)

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MATH-448: Statistical analysis of network data

A first course in statistical network analysis and applications.

HUM-450: Digital urban history: Lausanne Time Machine I

Ce cours fait partie d'une série de cours interdisciplinaires et collaboratifs ouverts aux étudiants de l'UNIL et de l'EPFL. Il se concentre sur l'histoire urbaine à travers l'application de méthodes

BIO-449: Understanding statistics and experimental design

This course is neither an introduction to the mathematics of statistics nor an introduction to a statistics program such as R. The aim of the course is to understand statistics from its experimental d

MATH-493: Applied biostatistics

This course covers topics in applied biostatistics, with an emphasis on practical aspects of data analysis using R statistical software. Topics include types of studies and their design and analysis,

BIO-603(DP): Practical - Dyson Lab

In vitro cytotoxicity testing is often the first step to establish the utility of a compound as a potential drug. The course will teach students how to evaluate the cytotoxicity of compounds on cancer

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

HUM-403: Experimental cognitive psychology I

The media frequently report on trendy studies that have been conducted in experimental cognitive psychology, and which inform the public on "human functioning" and its causes. We teach students basic

PHYS-732: Plasma Diagnostics in Basic Plasma Physics Devices and Tokamaks: from Principles to Practice

The programme will allow students to learn plasma diagnostics and data processing methods of modern fusion experiments and to bridge the gap between diagnostics theory and experimental practice.

MATH-520: Topics in machine learning

Mathematical analysis of modern supervised machine learning techniques, from linear methods to artificial neural networks.

MATH-342: Time series

A first course in statistical time series analysis and applications.