Teaching

Master 2 Copernicus Master in Digital Earth (GeoData Science track)

Machine Learning (Lecture: 12h)

Deep Learning (Lecture: 12h)

Active and Multitemporal Remote Sensing (Lecture: 6h)

Practical Workshop (DFC 2021)

Licence 2 MIS (Mathematics, Computer Science and Statistics)

Introduction to object-based programming in Java (Lecture: 22h + Lab: 20h X 3 groups)

Master 1 Computer Science

Introduction to Machine Learning (Lecture: 22h + Lab: 20h)

2018/2019 - Monash University

First year undergraduate students

Introduction to data science (FIT 1043) (Tutorial: 44h + Consultation time: 12h)

2017/2018

IUT Toulouse (Technology departments within univerisities)

Equivalent to Licence 1 Computer Science

Introduction to computer algorithms in ADA (49.5h)

ENSG (National School of Geographic Sciences)

Master 2

Introduction to the classification of satellite image time series (Lecture: 1.5h)

2016/2017

Master 2 SIA (Signal, Image and Applications)

Land cover mapping of satellite images - classification, segmentation, GIS, Monterverdi / Orfeo ToolBox (Lecture/Tutorial: 11h)

Master 1 SIA (Signal, Image and Applications)

Image processing - classification, block matching, character recognition (Lab: 9h)

IUT Toulouse (Technology departments within univerisities)

Equivalent to Licence 1

Introduction to computer algorithms in ADA (Lab: 27h)

Data structures and advanced algorithms in ADA (Tutorial/Lab: 36h)

2015/2016

Master 1 SIA (Signal, Image and Applications)

Image processing - classification, block matching, character recognition (Lab: 9h)

Introduction to remote sensing (Lecture: 1.5h)

IUT Toulouse (Technology departments within univerisities)

Equivalent to Licence 1

Introduction to computer algorithms in ADA (Tutorial/Lab: 49.5h)

Data structures and advanced algorithms in ADA (Lab: 16.5h)

Master 1 SIA (Signal, Image and Applications)

Signal Processing - spectral analysis (Lab: 12h)

Licence 2 EEA (Electronics science)

Signal processing - spectral analysis (Lab: 6h)