DD2450 Algorithmic Bioinformatics 6.0 credits

Algoritmisk bioinformatik

Advanced course in computer science focusing on the computer science part of bioinformatics (or computational biology).

Offering and execution

Course offering missing for current semester as well as for previous and coming semesters

Course information

Content and learning outcomes

Course contents *

Algorithms for problems such as alignment, phylogeny, sorting by reversals. An introduction to Hidden Markov Models.

Intended learning outcomes *

After successfully taking this course, students will be able to:

  • give their own account gene regulation, the central dogma, mutations that affect the genome, and experimental high-throughput techniques,
  • implement, describe, and discuss the algorithms treated during the course as well as how they relate to each other,
  • apply the fundamental algorithm design methodologies dynamic programming, MCMC, and EM to problems in computational biology and bioinformatics,
  • apply, describe, and discuss the modeling principles parsimony, maximum likelihood, and bayesian modelling.

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

One of the courses 2D1353/DD1352 Algorithms, Data Structures, and Complexity and DD2354 Algorithms and Complexity or DD2352 Algorithms and Complexity or the equivalent. Contact the instructor to find out if other courses may suffice.

Equipment

No information inserted

Literature

To be announced at least 4 weeks before course start at the web page for the course. Previous year material produced at the department was used.

Examination and completion

Grading scale *

A, B, C, D, E, FX, F

Examination *

  • ÖVN1 - Exercises, 6.0 credits, Grading scale: A, B, C, D, E, FX, 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: http://www.kth.se/csc/student/hederskodex/1.17237?l=en_UK.

Other requirements for final grade *

Written exercises (OVN1; 6 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

Examiner

Lars Arvestad

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 DD2450

Offered by

CSC/Computer Science

Main field of study *

Biotechnology, Computer Science and Engineering, Information Technology, Information and Communication Technology

Education cycle *

Second cycle

Add-on studies

Please discuss with the instructor.

Contact

Lars Arvestad, e-post: arve@kth.se

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.