Viktor Müller: Catalogue data in Spring Semester 2019

Name Dr. Viktor Müller
Address
Institut für Integrative Biologie
ETH Zürich, CHN K 12.2
Universitätstrasse 16
8092 Zürich
SWITZERLAND
Telephone+41 44 633 60 33
E-mailviktor.mueller@env.ethz.ch
URLhttp://ramet.elte.hu/~viktor
DepartmentEnvironmental Systems Science
RelationshipLecturer

NumberTitleECTSHoursLecturers
701-1418-00LModelling Course in Population and Evolutionary Biology Information Restricted registration - show details
Number of participants limited to 20.

Priority is given to MSc Biology and Environmental Sciences students.
4 credits6PS. Bonhoeffer, V. Müller
AbstractThis course provides a "hands-on" introduction into mathematical/computational modelling of biological processes with particular emphasis on evolutionary and population-biological questions. The models are developed using the Open Source software R.
ObjectiveThe aim of this course is to provide a practical introduction into the modelling of fundamental biological questions. The participants will receive guidance to develop mathematical/computational models in small teams. The participants chose two modules with different levels of difficulty from a list of projects.

The participant shall get a sense of the utility of modelling as a tool to investigate biological problems. The simpler modules are based mostly on examples from the earlier lecture "Ecology and evolution: populations" (script accessible at the course webpage). The advanced modules address topical research questions. Although being based on evolutionary and population biological methods and concepts, these modules also address topics from other areas of biology.
Contentsee www.tb.ethz.ch/education/learningmaterials/modelingcourse.html
Lecture notesDetailed handouts describing both the modelling and the biological background are available to each module at the course website. In addition, the script of the earlier lecture "Ecology and evolution: populations" can also be downloaded, and contains further backround information.
Prerequisites / NoticeThe course is based on the open source software R. Experience with R is useful but not required for the course. Similarly, the course 701-1708-00L Infectious Disease Dynamics is useful but not required.