Bioinformatics

Professor in charge:  Harri Lähdesmäki

Extent: 60 credits

Abbreviation: BIOINFO

Code: SCI3058

Objectives

The Bioinformatics major in the Life Science Technologies programme is designed to give a strong competence in bioinformatics and computational systems biology. The Bioinformatics major provides robust background in probabilistic modeling, machine learning and data science to understand the methodological basis of the commonly used bioinformatics and computational biology methods. The Bioinformatics major also gives skills and tools to develop new computational methods and models and to apply them to real world biomolecular data. Computer practicals are part of most courses ensuring understanding of both theory and practice of the methods. Biological background can be broadened with an elective minor.

State-of-the-art methods for analyzing next-generation sequencing, microarray and other 'omics data as well as biological networks are part of the curriculum. Examples of research questions studied include predicting drug-target interactions, reconstructing biological networks, finding associations between genotypes and diseases, and modelling dynamical behavior of complex biological pathways.

Content and structure

For the major (60 ECTS credits) the students have to take the common courses of the Life Science Technologies programme (15 cr), mandatory major subject courses (35 cr) and choose optional courses (10 cr) from the course list given below. To complete the degree, students take language studies (3 cr) and elective courses (minimum 27 cr). For elective courses, a minor subject or an international mobility period is recommended.

 

Code

Course

Credits

Period/Year

Compulsory courses of the programme (15 credits):

Becs-114.5501

Experimental and Statistical Methods in Biological Sciences I

5

I/1

JOIN-E3000

Life Science Technologies Project Course

10

III-V/1

Compulsory courses of the major (35 credits):

CHEM- E8120

Cell Biology

5

III/1

T-61.5120

Computational Genomics

5

I/1

T-61.5050

High-throughput Bioinformatics

5

II/1

T-61.5110

Modelling Biological Networks

5

III/1

T-61.6070

Special Course in Bioinformatics I

5

II-III/1

T-61.3050

Machine Learning: Basic Principles

5

I-II/1

T-79.4202

Principles of Algorithmic Techniques

5

I-II/1

Optional courses of the major (choose 10 credits):

T-61.5010

Information Visualization

5

IV/1

ICS-E4030

Kernel Methods in Machine Learning

5

I-II/2

T-61.5140

Machine Learning: Advanced Probabilistic Methods

5

III-IV/1

T-61.6080

Special Course in Bioinformatics II

5

IV-V/1

 

Recommendations for elective studies for bioinformatics

For the elective studies to accompany the bioinformatics major, it is recommended to take a minor subject or an international mobility period. The autumn period of second year is the recommended time period for elective studies.

Recommended minors

The following minors given in Aalto University are recommended:

Life Science Technologies programme minors:

  • Biomedical engineering
  • Biosensing and -electronics
  • Complex systems
  • Human Neuroscience and -technology

Computer, Communications, and Information Science programme minors:

  • Machine Learning and Data Mining

In addition, University of Helsinki (www.helsinki.fi) offers courses suitable for elective studies in

  • Algorithmic bioinformatics
  • Molecular biosciences
  • Biomedicine

Courses offered by University of Helsinki can be taken through the Flexible Study Rights (JOO) scheme (www.joopas.fi).

More details and recommendations on minor subject studies will be offered on the Into-pages of the Bioinformatics major.

Recommendations for international mobility

An international mobility period of approximately one semester is recommended. The suitable timing for mobility is Autumn period of the second study year.

More details and recommendations on international mobility will be offered on the Into-pages of the Bioinformatics major.

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