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DD2397 Applied Bioinformatics 7.5 credits

Course offering missing for current semester as well as for previous and coming semesters
Headings with content from the Course syllabus DD2397 (Autumn 2009–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

After completion of this course, you will be able to

  • structure data for efficient computerized storage and analysis
  • use relational databases
  • create your own relational databases
  • use a scripting language to solve every-day problems in Bioinformatics
  • use important Bioinformatic software libraries to quickly find solutions for tedious programming problems.

The subjects we study have applications in many areas, not just Bioinformatics and Molecular Biology, but these are the fields from which examples and exercises will be taken.

Intended learning outcomes

Bioinformatics has become an important tool for handling and utilizing the large sets of valuable data produced in Molecular Biology. Computerized analysis has a role both as support for wet-lab projects and as a means of extracting knowledge from already available datasets. The fast-growing amount of data makes it necessary to be able to automate analysis and make analysis on a very large scale. This course aims to introduce techniques for meeting this challenge.

Course disposition

No information inserted

Literature and preparations

Specific prerequisites

Single course students: 90 university credits including 45 university credits in Mathematics or Information Technology. English B, or equivalent.

Recommended prerequisites

For those already studying at KTH: introductory computer programming, for example 2D1310/DD1310, 2D1321/DD1321 or 2D1322/DD1322.


No information inserted


The course literature will be announced at the home page for the course at least 4 weeks before course start.

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

P, F


  • LAB1 - Laboratory Work, 4.5 credits, grading scale: P, F
  • PRO1 - Project, 3.0 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

In this course all the regulations of the code of honor at the School of Computer science and Communication apply, see:

Other requirements for final grade

Computer lab (LAB1, 4,5 university credits)
Project (PRO1, 3 university credits)

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted


Profile picture Lars Arvestad

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web DD2397

Offered by

CSC/Computer Science

Main field of study

Biotechnology, Computer Science and Engineering

Education cycle

Second cycle

Add-on studies

DD2399 Omic Data and Systems Biology


Lars Arvestad, tel: 5537 8465, e-post:

Supplementary information

The course will be replaced by the course DD2404 with the same name from autumn term 2012.