DD2450 Algorithmic Bioinformatics 6.0 credits
This course has been cancelled.
Advanced course in computer science focusing on the computer science part of bioinformatics (or computational biology).
Education cycleSecond cycle
Main field of studyBiotechnology
Computer Science and Engineering
Information and Communication Technology
Grading scaleA, B, C, D, E, FX, F
Last planned examination: spring 17.
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.
Single course students: 90 university credits including 45 university credits in Mathematics or Information Technology. English B or equivalent.
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.
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.
- ÖVN1 - Exercises, 6.0, grading 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).
Lars Arvestad, e-post: email@example.com
Lars Arvestad <firstname.lastname@example.org>
Please discuss with the instructor.
Course syllabus valid from: Autumn 2009.
Examination information valid from: Autumn 2007.