ECTS
3 credits
Training structure
Faculty of Pharmacy
List of courses
Your choice: 1 of 5
M1 CES work-study project
ECTS
2 credits
Training structure
Faculty of Pharmacy
Water quality and microbiology
Study level
BAC +4
ECTS
2 credits
Training structure
Faculty of Science
Optimized management and protection of water resources (both surface and groundwater) requires water quality to be taken into account. Assessment of the quality status of water bodies, particularly with regard to current legislative frameworks, is based on precise chemical and microbiological quality criteria, as well as standards adapted to the types of use envisaged for these resources.
Remote sensing for water management
Study level
BAC +4
Training structure
Faculty of Science
This module introduces the basics of optical and radar remote sensing, together with the fundamentals of image processing (consulting image catalogs on the Internet, downloading images, importing/exporting, visualization, contrast enhancement, radiometric and geometric image correction, segmentation, vectorization, classification, etc.). In addition, this module presents applications related to water management.
Introduction to the R language
Study level
BAC +4
Training structure
Faculty of Science
This UE is sequenced according to the following activities: First steps - R environment; R structures; Input-output in R; Manipulating R structures; Basics of algorithmics; Programming structures in R; Group mini-project on an R function to be created on an applied 'Water' problem.
Objectives* :
The objectives of this course are 1) to introduce the basics of the interpreted language of an engineering tool (environment, structures, input-output, manipulations of structures, graphics, programming), 2) to provide the fundamental theoretical knowledge needed to create one's own functions and programs based on practical examples in water science, and 3) to enable students to pursue their self-training and expertise in R.
Quantitative survey methods
Study level
BAC +4
Training structure
Faculty of Science
This methodological module teaches qualitative survey techniques and inductive reasoning. Students will be trained to conduct open interviews, carry out field observations and learn to analyze empirical data. Students will put these lessons into practice by carrying out a collective survey on a controversy linked to water or the environment (in connection with the lessons received in UE 118).