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
A Bachelor's degree including: Alternative 1) 15 credits mathematics or statistics, and 45 credits biology including 30 hp in molecular biology, cell biology, evolution or genetics; Alternative 2) 30 credits mathematics and 30 credits computer science including 5 credits in database design .
On completion of the course, the student should be able to:
account for and use methods in sequence bioinformatics such as sequence alignment, phylogenetic analysis and pattern recognition
account for and use methods in structural bioinformatics such as classification of protein structures, structure prediction, simulations and structure based drug design
analyse and compile results of bioinformatic analyses critically
solve given biological problems by using appropriate bioinformatic methods and databases
use and design simple scripts in R.
In the course, an introduction to master studies is included. After passing this module, the student should be able to:
show awareness of ethical aspects on research and development including plagiarism issues and equal opportunities/equal treatment
demonstrate an understanding of the possibilities of the bioinformatics, limitations and role in society
make an individual study plan.
Basic sequence and structural bioinformatics as well as introduction to bioinformatic algorithms. Pairwise and multiple sequence alignment. Methods for phylogenetic analysis and pattern recognition. Bioinformatic databases and servers. Classification and comparison of protein structures. Prediction of secondary and tertiary structure from sequence and homology modelling of the three-dimensional structure of proteins. Molecular dynamics simulations and molecular docking with applications to drug design. Applications of bioinformatic research. Computer exercises in bioinformatic scientific environment. Introduction to basic programming in R. Ethical aspects in education, research and development. Bioinformatics in Society.
Lectures, seminars and computer exercises.
Introduction to master's studies (2 credits) active participation in seminars, written report and completed study plan. Sequence bioinformatics: written examination (2.5 credits) and laboratory reports (1 credit). Structural bioinformatics: (2.5 credits) written examination and laboratory reports (1 credit). Introduction to programming in R (1 credit) laboratory reports.
If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.