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.
BIOI2250 Introduction to Programming 5–6 op

Learning outcomes

The course targets students with no prior programming experience. The students will acquire basic skills in algorithm design and programming, learning to write simple, practical programs in the Python programming language. The course is not suitable for students who do have prior programming experience and want to learn Python as an additional language.

Contents

Fundamental concepts such as variables, values, types, expressions, control structures, data structures, modularity and classes. Model problems and their typical algorithmic solutions with particular focus on bioinformatics.

Teaching language

English

Modes of study

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

Lectures, exercises, exam. One half of the exercises time is devoted to in-class programming assignments. For 6 ECTS student has to complete an additional exercise. Students who have started before autumn 2017 complete the course as 6 ECTS.

Evaluation

Numeric 0-5.

Recommended year of study

1. year autumn

Study materials

Lecture notes; Python documentation.

Belongs to following study modules

Tulevaisuuden teknologioiden laitos
Fysiikan ja tähtitieteen laitos
Kieli- ja käännöstieteiden laitos
Language Technology (Kieli- ja käännöstiet.laitos, yhteiset)
Tulevaisuuden teknologioiden laitos
2017–2018
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Tulevaisuuden teknologioiden laitos
MDP in Bioinformatics
MDP in Embedded Computing
MDP in Digital Health and Life Sciences (Tech.)
Opintokokonaisuudet