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NFYK14009U  Physics of molecular diseases Volume 2015/2016

Course information

Credit7,5 ECTS
LevelFull Degree Master
Duration1 block
Block 2
Course capacity30 students
Continuing and further education
Study boardStudy Board of Physics, Chemistry and Nanoscience
Contracting department
  • The Niels Bohr Institute
Course responsible
  • Ala Trusina (7-878588867c81745381757c417e8841777e)
Saved on the 27-04-2015

MSc Programme in Physics


Diseases are complex dynamical processes, that are often caused by disregulations at the molecular and cellular levels. With the current developments in biology and physics we are at the point where quantitative description and understanding of these processes becomes crucial for treatment and disease prevention.

In this course we will get an overview of where and how physics approaches are contributing to understanding of the diseases.

Through lectures, article discussions and related computer exercises we will see how simple quantitative models are becoming a powerful tool in understanding not only the causes of isolated diseases, but also uncover similarities across them.

Learning Outcome

Build and analyze quantitative models of biological systems both at the level of molecular regulatory networks and cell populations. Perform computer simulations of the corresponding models. Critical reading of articles at the cross of several disciplines: biology, physics, mathematics and medicine.

Learn how physics toolbox can be applied to solving a number of interesting, real-world disease related problems including : and aggregation processes in protein misfolding diseases (e.g. Parkinson, Alzheimers); excitable media in Heart Arrhythmia and Inflammation, negative feedbacks and separation of time-scales in Type 2 diabetes, diffusion and networks in spreading of Infectious diseases.

Quantitative understanding of the basic mechanisms behind a variety of the diseases.

In addition the student will develop an intuition where physics approach can be able to relevant understanding the causes for onset and progression of the disease.


Course notes in form of power point slides.

Additional reading material will be posted on Absalon.

Teaching and learning methods
Lectures, exercises and paper discussion.
Academic qualifications
Knowledge of Matlab or other programming language.
It is expected that the student brings laptop with Matlab or other programming environment installed.
Restricted elective for the specialisations in "Bio- and Medical Physics" and "Physics"
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Credit7,5 ECTS
Type of assessment
Oral examination, 20 minutes
Oral exam, 20 minutes per person
Marking scale7-point grading scale
Censorship formNo external censorship
more internal examiners
Criteria for exam assesment

see learning outcome

Study Groups12
Saved on the 27-04-2015