SGN-6106 COMPUTATIONAL SYSTEMS BIOLOGY (5 credits)
DEPARTMENT OF SIGNAL PROCESSING
SGN-6106 in Course
Catalog 2008-2009 and in POP.
Prerequisites: SGN-6056 Introduction to
Computational Systems Biology, SGN-6057 Introduction to Cell and
Molecular Biology or equivalent knowledge on basic concepts of
cellular and molecular biology.
If you have any questions, please contact Tommi Aho
This course gives an
introduction to computational
systems biology. Hands-on excercises are given on each of the topics.
Week 8: Introduction to CSB,
Week 9: Microscopy and digital
Week 10: Sequence analysis and
Week 11: Genomic data analysis
Week 12: Modeling of molecular
Week 13: Stochastic modeling,
4h/week. On Tuesdays 12 - 14 (in TB222) and on Wednesdays 10
- 12 (in TB222).
The lectures will be given by members of
the Computational Systems
Biology research group, as well as visiting lecturers.
Lecture material is in POP.
alternative exercise groups:
Wednesdays 12 - 14,
Fridays 12 - 14, TC415
Exercise material is
need to get a Lintula user account before the exercises:
for a new user account.
If you have no previous MATLAB
experience, it would be useful to read the first parts of MATLAB:
Getting Started, or the
MATLAB-opas in Finnish.)
1. Lecture diary (1 - 12
2. Presence in exercises (1
- 6 points, one point per exercise)
3. Final essay (1 - 12 points)
3 points is needed from all three requirement categories
(diary min 3 points, presence min 3 points, essay min 3 points). In
addition, 15 points is required to pass the course. Instead of the
lecture diary, a final examination may taken. In that case, the
exercises and the essay should be taken normally. The exam will be
graded similarly to the lecture diary (1-12 points).
Assessment scale is numeric
All the materials will be
delivered via POP.
updated: 15.2.2010 by Tommi Aho