Uusi opinto-opas (sisältäen myös opetusohjelmat) lukuvuodelle 2018-2019 sijaitsee osoitteessa https://opas.peppi.utu.fi . Tältä sivustolta löytyvät enää vanhat opinto-oppaat ja opetusohjelmat.

The new study guide (incl. teaching schedules) for academic year 2018-2019 can be found at https://studyguide.utu.fi. This site contains only previous years' guides.

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Arkistoitu opetussuunnitelma 2016–2018
Selaamasi opetussuunnitelma ei ole enää voimassa. Tarkista tiedot voimassa olevasta opetussuunnitelmasta.
TILM3572 Basic Course on Regression Modelling 5 op
Organised by
Statistics
Person in charge
Professori Mervi Eerola

Learning outcomes

By the end of the course the student should be able to

- understand the basic principles of statistical modelling;
- recognize the most common regression models and choose a plausible statistical model for his or her own problem;
- evaluate critically the modelling results and their sensitivity to model assumptions

Contents

This intensive course starts with a short overview of the principles of statistical analysis. It does not replace an elementary course in statistics but helps by examples to understand how relationships between phenomena can be investigated and their significance assessed by simple statistical models. The course is especially intended to those wishing to improve their understanding of statistical inference and modelling.

Topics of the course

- Basic principles of statistical modelling
- The linear regression model: univariate and multivariate setting
- How to interpret the results of a regression model: what is a good model?
- How to assess the uncertainty and assumptions of the model?
- The logistic regression model: univariate and multivariate setting
- How to interpret the results of a logistic regression model?
- How to assess the goodness-of-fit of a logistic model?

Teaching methods

Teaching method Contact Online
Lectures 12 h 0 h
Exercises 6 h 0 h

Teaching language

English

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Doctoral Students
  • Exchange Students
Participation in classroom work
  • In English
Exercise(s)
  • In English

Evaluation

Pass/fail.

Belongs to following study modules

2018–2019
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Implementation details are unavailable.
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