(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 web pages of SY09)
The course aims at presenting the basics of data science to the students. Both supervised and unsupervised learning are studied.
Notions of principal component analysis, factor discriminant analysis, multidimensional scaling, as well as clustering are described. Decision theory as well as various supervised classification techniques are studied in depth.
This unit course aims at students at the end of their degree course.