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.
BIOI2260 Introduction to Computer Science 4 op

Learning outcomes

The course targets students with biological background. The objective is to gain basic understanding of fundamental concepts in computer science to facilitate interdisciplinary communication in bioinformatics. The course also provides necessary background for the follow-up courses on algorithms in bioinformatics.

Contents

The course provides an overview of the most important concepts in computer science. Basic concepts in machine architecture and data representation are explained, followed by an introduction to essential data structures and operations over them. Further, some of the fundamentals of complexity and computability are presented, together with selected topics from artificial intelligence that are of relevance to bioinformatics. Course also contains a brief introduction to relational databases and basic Unix usage.

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

Evaluation

Numeric 0-5.

Recommended year of study

1. year autumn

Study materials

Brookshear, J. Glenn: Computer Science: An overview, 2008, ISBN 978-0321524034; lecture notes.

Belongs to following study modules

Tulevaisuuden teknologioiden laitos
Biokemian laitos
Biokemian laitos
Biokemian laitos
Tulevaisuuden teknologioiden laitos
2016–2017
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