Descriptif

BIO_54468_EP - Exploration and Statistical Analysis of Complex Datasets

Course description :
The analysis of environmental samples has seen a remarkable transformation thanks to the recent advances in molecular ecology and analytical chemistry. The high-throughput methodologies from these fields have empowered researchers to generate vast volumes of data, offering unparalleled insights into environmental complexities. However, this data often takes the form of high-dimensional datasets. Summarizing and extracting valuable information from these complex and multidimensional datasets is challenging and it requires specific methods. 

BIO_54468_EP introduces a range of methods and theoretical concepts, from descriptive statistics to multivariate statistics, a set of powerful methods for analyzing and interpreting data involving multiple variables simultaneously. With a balanced combination of theory and practical work, students will learn how to apply various statistical methods to real-world problems, enabling them to draw meaningful insights from complex datasets. The course aims to provide students with a solid understanding of the principles of descriptive statistics and multivariate methods and with the skills needed to select and use these methods effectively in their own work.

Examen :
The course assessment consists of two main components:

1. Written Examination: A 3-hour closed-book exam, with no access to documents, notes, or calculators.
2. Personal Project: Each student will be required to complete a personal project, which will be evaluated separately.