Teacher(s)
Language
English
Prerequisites
go to LPHYS2336
Main themes
go to LPHYS2336
Learning outcomes
At the end of this learning unit, the student is able to : | |
| go to LPHYS2336 | |
Content
This course consists of 2 partims, each worth 2.5 credits, thus totalling 5 credits: "Astroparticle Physics" and "Data analysis methods in Astrophysics".
PARTIM "Astroparticle Physics" (2.5 credits): theory and detection methods in astroparticle physics.
PARTIM "Data analysis methods in Astrophysics" (2.5 credits): data analysis techniques used in observational astrophysics. They include both classical statistical data analysis and machine learning- based techniques.
PARTIM "Astroparticle Physics" (2.5 credits): theory and detection methods in astroparticle physics.
PARTIM "Data analysis methods in Astrophysics" (2.5 credits): data analysis techniques used in observational astrophysics. They include both classical statistical data analysis and machine learning- based techniques.
Teaching methods
Lectures in class.
Personal projects. Students can choose the subject among a list proposed by the teachers.
Reading portfolio for personal study.
Personal projects. Students can choose the subject among a list proposed by the teachers.
Reading portfolio for personal study.
Evaluation methods
The assessment is based on a oral discussion with the professor for the specific partim to verify in-depth knowledge and understanding of the topics covered during the course. This assessment may include the preparation of a report and a presentation prior to the exam.
Abusive use of artificial intelligence—as defined in the UCLouvain Charter (https://uclouvain.be/fr/system/files?file=uclouvain_assetmanager/groups/cms-editors-adef/SUP%26R/Utilisation_IAGenerative_Etudiants_v4F_20260416.pdf)—during the preparation of the presentation or report may be penalized.
The final grade will be calculated using the geometric mean within a partim and across the partims.
Abusive use of artificial intelligence—as defined in the UCLouvain Charter (https://uclouvain.be/fr/system/files?file=uclouvain_assetmanager/groups/cms-editors-adef/SUP%26R/Utilisation_IAGenerative_Etudiants_v4F_20260416.pdf)—during the preparation of the presentation or report may be penalized.
The final grade will be calculated using the geometric mean within a partim and across the partims.
Bibliography
Des diapositives de cours et des documents supplémentaires sur les sujets traités sont disponibles sur le site MoodleUCL de l’unité d’enseignement.
Course slides and additional documents on the subjects addressed are available on the MoodleUCL website of the teaching unit.
Course slides and additional documents on the subjects addressed are available on the MoodleUCL website of the teaching unit.
Faculty or entity
