Main field(s) of study and in-depth level:
Explanation of codes
The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:
G1N: has only upper-secondary level entry requirements
G1F: has less than 60 credits in first-cycle course/s as entry requirements
G1E: contains specially designed degree project for Higher Education Diploma
G2F: has at least 60 credits in first-cycle course/s as entry requirements
G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
GXX: in-depth level of the course cannot be classified.
A1N: has only first-cycle course/s as entry requirements
A1F: has second-cycle course/s as entry requirements
A1E: contains degree project for Master of Arts/Master of Science (60 credits)
A2E: contains degree project for Master of Arts/Master of Science (120 credits)
AXX: in-depth level of the course cannot be classified.
Fail (U), Pass (G)
The Faculty Board of Science and Technology
120 credits as well as 30 credits of the courses Proteomics and Metabolomics, Script Programming, Statistical Inference for Bioinformatics, Knowledge-based Systems in Bioinformatics, Molecular Evolution, Information Management Systems, Large Datasets for Scientific Applications, Genome Analysis, Automated Predictive Modelling.
The aim of the course is to apply previously acquired knowledge in a bioinformatic project.
After completing the course the student should be able to:
plan and carry out a bioinformatic project that intends to solve a biological, biomedically or technical problem
Critically analyse, value and summarise the obtained results and present those in writing as well as orally
make well founded scientific, social and ethical assessments of all parts of the project
search, value and use scientific literature in subjects that lie within the scope of the course and implement this knowledge in the project.
The studies are carried out in the form of project work. The projects are designed in consultation with employer in the industry or academia and include development of new tools or applications of already existing tools to solve biological and biomedical problem. The projects can e.g. include genome annotation, gene expression analysis, population genetic analyses or modelling of metabolic reaction pathways. The course also includes practicing to critically analyse and account for strengths and weaknesses in his own and others' oral and written presentations as well as in the project work (engineering skills, scientific approach and experimental ability).
Project work and seminars
Seminars 3 credits. Written and oral presentation of project work (12 credits).
If special circumstances apply, the examiner can make exceptions from the stated exam method and decide that a student is assessed in a different way. Special causes can e g be notice of special educational support from the coordinator of the university for students with disabilities.