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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Opinto-oppaat » Matemaattis-luonnontieteellinen tiedekunta » Tulevaisuuden teknologioiden laitos » Essential introductory studies
BIOI2241 Introduction to Statistical Analysis 5 op
Organised by
Bioinformatics
Person in charge
Juho Heimonen

Learning outcomes

The students understand the basics of statistical data analysis and can perform simple analyses of bio-health data. The students can 1)describe experiments and data using statistical terminology, 2)explain the theoretical basics of estimation and hypothesis testing,3) programmatically manipulate data matrices, 4) explore and visualise data, 5) apply statistical tests, and 6) explain the idea of unsupervised and supervised machine learning. As an introductory course, the students are not expected to obtain deep theoretical understanding or advanced practical skills.

Contents

The lectures focus on the bio-health domain and cover the topics needed to reach the learning outcomes. The students practise their hands-on skills by solving exercises using the R language.

Modes of study

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

Evaluation

Numeric 0-5.

Recommended year of study

1. year autumn

Study materials

Lecture notes and supplementary material

Belongs to following study modules

Tulevaisuuden teknologioiden laitos
2018–2019
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Implementation details are unavailable.
Tulevaisuuden teknologioiden laitos
MDP in Bioinformatics
MDP in Embedded Computing
MDP in Digital Health and Life Sciences (Tech.)
Opintokokonaisuudet