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Arkistoitu opetussuunnitelma 2017–2019
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BIO2200 Introduction to computational biology 3 op
Organised by
Master's Degree Programme in Bioinformatics
Corresponding course units in the curriculum
BioMediTech
Curricula 2015 – 2017

Keywords

Strategic themes: Internationalisation

Learning outcomes

After the course, the student can:
- describe different types of biological sequencing data and their functional elements.
- access the databases and tools that provide information about sequences.
- describe high-throughput measurement technologies and their applications.
- explain the benefits of integration of different measurement data types.
- explain the role of computational analysis in biomedical research.
- list some applications of computational analysis and mathematical models in biosciences.

Contents

- Deep sequencing, microarrays, mass spectrometry, high throughput imaging and their applications.
- Biological databases
- Genomes and variations
- Epigenetics and gene regulation
- Mathematical modeling

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Open University Students
  • Doctoral Students
  • Exchange Students
Lectures and weekly exercises  Participation in course work 
In English

Evaluation

Numeric 1-5.

Belongs to following study modules

Lääketieteen ja biotieteiden tiedekunta
Lääketieteen ja biotieteiden tiedekunta
2018–2019
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
For Open University students only
Lääketieteen ja biotieteiden tiedekunta