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 (3), Pass with credit (4), Pass with distinction (5)
The Faculty Board of Science and Technology
60 credits within the programme including Structural Bioinformatics, and Probability and Statistics. Completed Database Design I and Programming Techniques II.
On completion of the course, the student should be able to:
explain the principles of sequence alignments, pattern recognition and phylogenetic analysis
construct bioinformatic workflows and use scripts for data management
solve given biological problems by identifying and using the appropriate public databases, and choose and apply existing software
analyse, evaluate and compile results of bioinformatic analyses critically
The course mainly deals with bioinformatics with focus on sequence data and contains the following parts and aspects:
Public bioinformatic databases, their design and search tools. Identification of coding sequences. Pair-wise and multiple sequence alignment, heuristic methods for sequence alignment. Automation of bioinformatic analyses by means of script programming. Models for sequence evolution and statistical sequence comparisons. Methods for phylogenetic analysis and pattern recognition.
The course consists of lectures and computer exercises.
Parts of the course: Theory 2 credits; computer exercises 3 credits.
For the overall grade Pass, it is required that the computer exercises have been presented in writing and orally and are passed. The theory part is examined in a written examination.
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.