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DD2450 Algorithmic Bioinformatics 6.0 credits

Algoritmisk bioinformatik

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

  • Educational level

    Second cycle

  • Academic level (A-D)

    D

  • Subject area

    Biotechnology
    Computer Science and Engineering
    Information Technology
    Information and Communication Technology

  • Grade scale

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

At present this course is not scheduled to be offered.

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 main content

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

Eligibility

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.

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

  • ÖVN1 - Exercises, 6.0, grade scale: A, B, C, D, E, FX, F

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.

Requirements for final grade

Written exercises (OVN1; 6 university credits).

Offered by

CSC/Computer Science

Contact

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

Examiner

Lars Arvestad <arve@kth.se>

Add-on studies

Please discuss with the instructor.

Version

Course syllabus valid from: Autumn 2009.
Examination information valid from: Autumn 2007.