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Fall Semester Courses 2015

Number Unit Lecturer
626-0009-00L Interdisciplinary Biotechnology  S. Panke,
N. Beerenwinkel,
Y. Benenson,
K. M. Borgwardt,
P. S. Dittrich,
M. Fussenegger,
A. Hierlemann,
D. Iber,
M. H. Khammash,
D. J. Müller,
P. Pantazis,
R. Paro,
S. Reddy,
T. Schroeder,
T. Stadler,
J. Stelling,
S. Tay
626-0011-00L Linear Algebra with Applications to Systems Biology  M. H. Khammash
636-0301-00L Current Topics in Biosystems Science and Engineering  S. Tay,
N. Beerenwinkel,
Y. Benenson,
K. M. Borgwardt,
P. S. Dittrich,
M. Fussenegger,
A. Hierlemann,
D. Iber,
M. H. Khammash,
D. J. Müller,
S. Panke,
P. Pantazis,
R. Paro,
S. Reddy,
T. Schroeder,
T. Stadler,
J. Stelling

Spring Semester Courses 2015

Number Unit Lecturer
636-0016-00L Computational Systems Biology: Stochastic Approaches  M. H. Khammash
636-0301-00L Current Topics in Biosystems Science and Engineering  S. Tay,
N. Beerenwinkel,
Y. Benenson,
M. Fussenegger,
A. Hierlemann,
D. Iber,
M. H. Khammash,
D. J. Müller,
S. Panke,
P. Pantazis,
R. Paro,
S. Reddy,
T. Schroeder,
J. Stelling

Course descriptions

Computational Systems Biology: Stochastic Approaches

This course is concerned with the development of computational methods for modeling, simulation, and analysis of stochasticity in living cells. Using these tools, the course explores the richness of stochastic phenomena, how it arises from the interactions of dynamics and noise, and its biological implications.

Interdisciplinary Biotechnology

Interdisciplinary Biotechnology is designed to provide a common frame of reference for all novel biotechnology students who have come to Basel. The content consists of an overview of the scope of the 3rd year Biotechnology BSc.

Current Topics in Biosystems Science and Engineering

This seminar features invited lecturers about recent advances and developments in systems biology, including topics from biology, bioengineering, and computational biology. It provides an overview of current systems biology research.

Linear Algebra with Applications to Systems Biology

The course presents concepts and tools from linear algebra and linear programming together with applications to systems biology. The course builds on freshman courses Mathematical Foundations: Mathematical Analysis I and II. The objective is to give the student a solid background in the theory and applications of linear algebra and linear programming with particular emphasis and motivating examples from systems biology.

 
 
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