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Email : clement.royer(at)dauphine.psl.eu
Clément Royer
Université Paris Dauphine-PSL
Place du Maréchal de Lattre de Tassigny
75016 Paris
FRANCE
I am also on Google Scholar and Twitter.

Clément W. Royer

La version française de cette page se trouve ici.


Teaching


Dauphine-PSL (2019-)

I am a faculty in the MIDO (Computer Science and Mathematics) department at Université Paris Dauphine-PSL.

In Fall 2021, I will be involved in the following courses.

Optimization Tools for Data and Decision Sciences
M2 MIAGE ID (Master level, Classical and Apprentissage Track) [Course webpage]

Optimization for Machine Learning
M2 IASD (Master level, Apprentissage track) [Course webpage]
M2 IASD/M2 MASH (Master level, Classical track)
     [Webpage for the advanced gradient descent lectures]
     [Webpage for the stochastic gradient lectures]
M2 Big Data (Dauphine Tunis) [Course webpage]


Between 2019 and 2021, I was in charge of a Bachelor level course on Fundamentals of Machine Learning as well as a first-year master level course on Mathematics of Data Science. Both courses are offered in PSL's data science track.

In Spring 2020, I was in charge of a Master level course on the C++ programming language. A summary of this course (in French) with links to the material is available here.


ENSEEIHT (2013-2016)

From 2013 to 2016, I was a teaching assistant in the Computer Science and Applied Mathematics Department (IMA in French) at INP-ENSEEIHT. My teaching duties involved practical and tutorial sessions on computational mathematics (numerical optimization, PDE discretization techniques, linear algebra) at a master level, as well as undergraduate courses on analysis (topology, differential calculus).

A detailed description of my teaching activities is available in my vitae.


This page was designed by Clothilde Royer, many thanks to her.
Materials on this page are available under Creative Commons CC BY-NC 4.0 license.