Cross-disciplinary curriculum in Biophysics, Computational Biology, and Evolution
The UoC faculty in Biophysics and Computational Biology has developed a timely
interdisciplinary curriculum in quantitative biology, with a focus on graduate education in Biophysics,
Computational Biology, Population Genetics and Evolution. We offer a broad range of courses on theory,
experiment, and data analysis. These courses are part of the module Statistical Physics and Biophysics
within the Master and PhD program in Physics. They are closely linked with the curriculum in Computational
Biology at UoC’s Biology Department and can be taken for credit within the Master programs in Physics and
Biology.
Core courses at IBP
- Biological
Physics I: Molecules and Cells (3+1 HPW, 6 CP): Introduction to
molecular cell biology, random walks in biology, mechanical forces in molecular and cellular biology,
rate equations and cellular dynamics, photophysics, electrical signals in nerve cells, biophysical
methods
- Biological
Physics II: Systems (3+1 HPW, 6 CP): Dynamical systems, dynamics of
small gene regulatory networks, noise in gene expression, statistical analysis of large biological
networks, biological pattern formation, reaction-diffusion systems, empirical laws in biology
- Selected
Topics in Statistical Physics (3+1 HPW, 6 CP), including Soft and
biological matter, non- equilibrium statistical physics, disordered systems
- Statistical
Biology of Evolution (3+1 HPW, 6 CP):
Basic concepts of evolutionary theory,
introduction to molecular evolution and genomics, theory of bio-molecular networks, concepts
and methods of data analysis – offered every summer term
- Advanced
Practical Course M Biophysics
- Evolutionary
Biology for Physicists (until '23, superseded by Statistical
Biology of Evolution) (3+1 HPW, 6 CP): Basic concepts of evolutionary
theory, introduction to molecular evolution and genomics, theory of bio-molecular networks, concepts and
methods of data analysis
Specialized courses and seminars at IBP
- Information Theory and Statistical Physics (3+1 HPW, 6 CP)
- Non-Equilibrium Physics with Interdisciplinary Applications (2+1 HPW,
4.5 CP)
- Qualitative Methods in Theoretical Physics (4 HPW, 6 CP)
Related courses in Computational Biology at the Biology Department
- Bioinformatics
1: Introduction to bioinformatics, sequence alignment, structural
biology, network biology
- Advanced
Bioinformatics: High-dimensional statistics, analysis of chromatin
structure data, alignment-free sequence analysis
- Omics Data Analysis: High-throughput data analysis, RNA-sequencing
data analysis, DNA-binding data analysis