Curricula Guides
2018–2019
Archived Curricula Guide 2017–2019
Curricula Guide is archieved. Please refer to current Curricula Guides
BIO4395
Bioinformatics work course
5
ECTS
Organised by
Master's Degree Programme in Bioinformatics
Preceding studies
Compulsory:
BIO2450
Advanced bioinformatics tools
BIO4440
Biological data analysis with R
Recommended:
BIO4450
High-throughput data analysis
Corresponding course units in the curriculum
Learning outcomes
After the course, the student can:
- apply skills from the courses of the curriculum to a selected set of real-life bioinformatics problems.
- independently learn the use of bioinformatics methods in new applications.
Contents
This course consists of independent data analysis in four assigned projects. Projects are on topics that deepen and complement what is covered on other courses of the curriculum.
Modes of study
Option
1
Available for:
- Degree Programme Students
- Other Students
- Open University Students
- Doctoral Students
- Exchange Students
Participation in course work
In
English
Evaluation
Numeric 1-5.Belongs to following study modules
Faculty of Medicine and Life Sciences
2018–2019
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Faculty of Medicine and Life Sciences