The purpose of this course is to introduce students to methods from
probability theory, statistics, and the theory of stochastic processes
in the context of bioinformatics applications (e.g. DNA and protein
sequence analysis, microarray data analysis, phylogeny). Major topics
will include a general introduction into Bayesian statistical inference,
clustering and classification, regression methods, stochastic processes
and Markov chains, and evolutionary models.
Attendees will work through short tutorial on the topics discussed
in the class.
Familiarity with basic concepts from statistics (see Program
for details) and knowledge of calculus and linear algebra are
prerequisites to fully benefit from this course.
A basic knowledge of Unix is required for the practical
sessions of the course.
Registration and Fee
The course will be held from March 20 to March 24,
The registration fee for academics is 100 CHF.
Location, housing and transportation