Teaching Page
Since I was appointed as an
associate professor at the Ensimag in 2002, I have mainly taught
courses related to applied maths
and signal and image processing.
Present
courses:
Functional analysis: from
continuous to discrete setting (second year Ensimag) :
In this course we first make a
introduction to the distribution theory, and then of the Fourier
transform of distributions. The connection with sampling is
carried out by introducing Poisson formula and then Shannon
Theorem. The next chapter is devoted to the practical
study of filters (Z transforms, etc...). Hilbert spaces and
their application to the definition of Fourier series conclude
the course.
Advanced image processing (third
year
Ensimag) : The goal is here to deal with
modern image processing techniques among which edge and ridge
detection, scale-space theory, active contour technique, level
sets, and anisotropic diffusion. The course is taught in English
as part of the international MSIAM master.
Internship for first year
students (first year Ensimag)
: To compensate for the different maths levels of the
student entering the Ensimag an internship is proposed at the
beginning of the academic
year. The goal is here to make the students more familiar
with some basic notions that are used further in the first year
mathematical analysis course.
Teaching maths to apprentices (first
year
Ensimag) : At Ensimag, some students are
doing an apprenticeship while studying. They are working part
time in a firm and are at the university the rest of the
time. I am now in charge of teaching them basic maths.
Past courses:
Mathematical analysis for engineers
(first year
Ensimag) : The aim of this
course was to provide the students with some basic elements in
measure theory, integration, Fourier transform and the theory of
distributions. Theoretical aspects are illustrated through
lab sessions and sets of exercises.
- Handout of the course handout
- Lab sessions and sets of exercises tdtp
Applied mathematical
analysis (first
year Ensimag)
: The aim of this course is to introduce normed
vector space in infinite dimension (Banach and Hilbert spaces),
we then tackle the notions of differentiability and of
projection on subsets in such spaces.
Specialization year in
computer science :
This course was
dedicated to students who were already engineers but wanted to
specialize in computer science. My contribution was to give them
bases in numerical analysis.
Other courses : I was
also in charge of numerical analysis courses for students of the
"cours préparatoires polytechniques" and I also taught this
topic to the students of PAGORA, an engineering school of the
Grenoble-INP group) . I also have had the opportunity to
teach the following topics:
- Maths for Telecom science handout
- Neural Network
- Lab session in image processing folder
2A
PhD Course Pisa:
course_Pisa