Here are some words about the teaching I make, or to which I took part in the past.

Some are more naturally destinated to students in a particular field (for example, as the algorithmics course). However, all are opened to all the students in engineering of the UTC.
Likewise, some are to be followed by students beginning their degree course; others, by students close to graduation, that have already acquired some scientific and technical competences.

(link towards the unit web page)

This unit presents to students the concepts and basic methods in statistics, as used by engineers. Notions of estimation, of confidence intervals, of hypotheses tests, of linear regression, of ANOVA (analysis of variance) are presented among others.

This unit course is destinated to students at the beginning of their degree course.

(link towards the unit web page)

After some brief reminders on C language programming, basic data structures in informatics are presented, as well as correspondings manipulation algorithms.

This unit course is destinated to students at the beginning of their degree course.

(link towards the unit course)

The unit introduces the basic techniques in linear programming (simplex method, duality), integer programming, and non-linear optimization (gradient methods, Newton and quasi-Newton methods).

This unit course is destinated to students at the end of their degree course.

(link towards the unit web page)

This unit aims at presenting modern techniques of large data sets, and basic tools for data mining.

Notions of principal component analysis, discriminant analysis, multidimensional scaling, as well as unsupervised classification, are presented. Mixture models for classification are as well studied in this course.

This unit course is destinated to students at the end of their degree course.