Biological Systems EXTQ20

In biology and medicine there are many different modelling methods. This course consists of six separate projects that each consist of 2 or 3 two hours lectures followed by a whole-day exercise. Each student should then write a report on the exercise after which the responsible teacher will grade the report on a scale 1-5 with 3 as a pass. The overall grade for the whole course will be the average of the different projects, rounded to the closest whole number. All teachers are experts/active scientists in the respective fields.

Teacher in charge is Anders Brodin, professor in Theoretical Ecology at Lund University: anders [dot] brodin [at] biol [dot] lu [dot] se (anders[dot]brodin[at]biol[dot]lu[dot]se)

The projects are:

1. An introduction to Genetic Algorithms, Anders Brodin. Some knowledge about Genetic Algorithms is necessary before project 2, Genetic Programming. This project with a pass / non-pass.

2. Genetic programming of hard industrial problems, Lars Hård, founder and Chief AI Officer, Oxide.ai.

 

 

 

 

 

 

 

3. Molecular and Cellular Networks, Victor Olariu, associate professor, Theoretical Physics, Lund University.

 

 

 

 

 

 

4. Modelling pressure and flow in the human heart, Einar Heiberg, associate professor, Clinical Physiology, Lund University.

 

 

 

 

 

 

5. Modelling optimal behaviour with stochastic models, Anders Brodin.

 

 

 

 

 

 

 

6. Modelling population and community dynamics in animals, Mikael Pontarp, researcher in Evolutionary Ecology.