Course is organized by Tampere University of Technology and it is a part of the cross-institutional studies of Tampere3 universities.

Course can be a part of advanced studies in mathematics.

This course explores methods for the analysis of longitudinal data and latent variable methods for linear models, generalized linear models, and nonlinear models.  Focusing on applications, this course explores: the analysis of repeated measures ANOVA, multivariate approaches, random-effects regression, covariance-pattern models, generalized-estimating equations and generalizations, latent variable methods including finite mixture modelling, and likelihood methods.  Students will develop expertise using the SAS and R computer packages, although no previous programming experience will be assumed.  Grading is based on homework and computer assignments and a project, as well as several exams.

TUT-students, to enrol please send e-mail to: mtt-studies@uta.fi

TTY:n opiskelijat hakeutuvat kurssille JOO-opiskelijoina. Ilmoittaudu ensin sähköpostitse osoitteeseen: mtt-studies@uta.fi

Students should bring their own laptops in practicals.