BB2440 Bioinformatics and Biostatistics 7.0 credits
Bioinformatik och biostatistik
This is an introductory course in bioinformatics and biostatistics. The course is aimed at students at the Biotechnology Master of Science in Engineering Degree program and the Medical Biotechnology Masters' program. The course consists of lectures and computer-based laboratory exercises.
Educational levelSecond cycle
Academic level (A-D)D
Grade scaleA, B, C, D, E, FX, F
At present this course is not scheduled to be offered.
Intended learning outcomes
This is an introductory course in bioinformatics and biostatistics. After passing the course, the student should:
- know the theory behind fundamental bioinformatics analysis methods.
- be familiar with widely used bioinformatics databases.
- know basic concepts of probability and statistics.
- be able to describe statistical methods and probability distributions relevant for molecular biology data.
- know the applications and limitations of different bioinformatics and statistical methods.
- be able to perform and interpret bioinformatics and statistical analyses with real molecular biology data.
Course main content
The course consists of lectures and computer-based laboratory exercises.
Admission requirements for programme students at KTH:
At least 150 credits from grades 1, 2 and 3 of which at least 100 credits from years 1 and 2, and bachelor's work must be completed. The 150 credits should include a minimum of 20 credits within the fields of Mathematics, Numerical Analysis and Computer Sciences, 5 of these must be within the fields of Numerical Analysis and Computer Sciences, 20 credits of Chemistry, possibly including courses in Chemical Measuring Techniques and 20 credits of Biotechnology or Molecular Biology.
Admission requirements for independent students:
A total of 20 university credits (hp) in Biotechnology or Molecular Biology. 20 credits of Chemistry, possibly including courses in Chemical Measuring Techniques and 20 credits within the fields of Mathematics, Numerical Analysis and Computer Sciences, 5 of these must be within the fields of Numerical Analysis and Computer Sciences, Documented proficiency in English corresponding to English B.
The following courses, or equivalent, are recommended: SF1644 Calculus in one Variable, BB1010 Introduction to Biotechnology. Computer acquaintance equivalent to DN1212 Numerical Methods and Basic programming.
Zvelebil and Baum, Understanding Bioinformatics (2007), Garland Science
Biostatistics: The Bare Essentials. G. R. Norman and D. L. Streiner. (B.C. Decker, 3rd edition)
Listan kan komma att ändras. Ändringar kommer att annonseras på kursens hemsida senast fyra veckor före kursstart.
- LAB1 - Laboratory Work, 2.0, grade scale: P, F
- TEN1 - Written Examination, 5.0, grade scale: A, B, C, D, E, FX, F
Requirements for final grade
TEN1 – Written examination, 5.0 credits, grade scale: A, B, C, D, E, FX, F
LAB1 – Laboratory work, 2.0 credits, grade scale: P, F
Olof Emanuelsson <email@example.com>
Överlappar med BB2441
The course will not be given from Fall 2017
Students are required to sign up at least two weeks in advance for examination.
The course is given provided at least seven students are admitted.
Course syllabus valid from: Autumn 2016.
Examination information valid from: Autumn 2010.