ECTS
3 credits
Component
Faculty of Pharmacy
List of courses
Choice of 1 of 5
M1 CES work-study project
ECTS
2 credits
Component
Faculty of Pharmacy
Water quality and microbiology
Level of study
BAC +4
ECTS
2 credits
Component
Faculty of Science
Optimized management and protection of water resources (surface or groundwater) requires taking into account water quality. The assessment of the quality status of water bodies, particularly with regard to the legislative frameworks in force, 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 water management
Level of study
BAC +4
Component
Faculty of Science
This module presents the basics of optical and radar remote sensing with the basics of image processing (consultation of image catalogs on the Internet, image downloading, import/export, visualization, contrast enhancement, radiometric and geometric image corrections, segmentation, vectorization, classification ...). In addition, this module presents applications related to water management.
Introduction to the R language
Level of study
BAC +4
Component
Faculty of Science
This UE is sequenced according to the following activities: First steps - R environment; R structures; Input-output in R; Manipulations of R structures; Basics of algorithmics; Programming structures in R; Mini-project by group on an R function to be created on an applied 'Water' problem
Objectives*:
The objectives of this course are 1) to present the basics of the interpreted language of an engineering tool (environment, structures, inputs-outputs, manipulations of structures, graphics, programming), 2) to bring the fundamental theoretical knowledge allowing to create one's own functions and programs on practical examples in water sciences for 3) that the students are autonomous to pursue their self-training and expertise on R.
Quantitative survey methods
Level of study
BAC +4
Component
Faculty of Science
This methodological module offers instruction in qualitative survey techniques and inductive reasoning. Students will be trained to conduct open-ended interviews, conduct field observations and learn to analyze empirical data. Students will put these lessons into practice by conducting a collective survey on a controversy related to water or the environment (in connection with the lessons received in UE 118).