Sebastian Bonhoeffer: Catalogue data in Spring Semester 2020

Name Prof. Dr. Sebastian Bonhoeffer
FieldTheoretische Biologie
Address
Institut für Integrative Biologie
ETH Zürich, CHN K 12.1
Universitätstrasse 16
8092 Zürich
SWITZERLAND
Telephone+41 44 632 71 06
E-mailseb@env.ethz.ch
URLhttp://www.tb.ethz.ch
DepartmentEnvironmental Systems Science
RelationshipFull Professor

NumberTitleECTSHoursLecturers
551-0737-00LEcology and Evolution: Interaction Seminar Information Restricted registration - show details 2 credits2SS. Bonhoeffer
AbstractInteraction seminar. Student-mediated presentations, guests and discussions on current themes in ecology, evolutionary and population biology.
Learning objectiveGetting familiar with scientific arguments and discussions. Overview of current research topics. Making contacts with fellow students in other groups.
ContentScientific talks and discussions on changing subjects.
Lecture notesNone
LiteratureNone
Prerequisites / NoticeFor information and details: http://www.eco.ethz.ch/news/zis
or contact: Lehre-eve@env.ethz.ch
701-0290-01LSeminar in Microbial Evolution and Ecology (FS)0 credits2SS. Bonhoeffer
AbstractSeminar of the Institute of Integrative Biology.
Learning objectiveSeminar of the Institute of Integrative Biology
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.
Learning 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.
701-1424-00LGuarda-Workshop in Evolutionary Biology Information
Does not take place this semester.
This course has limited spaces. To register for this course you have to sign in via mystudies and via the website of the University of Basel http://evolution.unibas.ch/teaching/guarda/index.htm.
3 credits4PS. Bonhoeffer
AbstractThis one week course is intended for students with a keen interest in evolutionary biology. The aim of the course is to develop a research project in small teams of 4-5 students. The students receive guidance by the "faculty" consisting of Prof. D. Ebert (U Basel) and Prof. S Bonhoeffer (ETHZ). Additionally two internationally reknown experts are invited every year.
Learning objectivesee link http://evolution.unibas.ch/teaching/guarda/index.htm
Contentsee link http://evolution.unibas.ch/teaching/guarda/index.htm
Lecture notesnone
Literaturenone
Prerequisites / NoticeAs the number of participants is limited, application for the course is necessary. Please apply for the course using the course website (see link http://evolution.unibas.ch/teaching/guarda/index.htm).
.
701-1461-00LEcology and Evolution: Seminar Restricted registration - show details
Direct continuation of course unit 701-1460-00L "Ecology and Evolution: Term Paper" of the previous semester (HS).
3 credits6ST. Städler, J. Alexander, S. Bonhoeffer, T. Crowther, A. Hall, J. Jokela, J. Payne, G. Velicer, A. Widmer
AbstractThe organization and functioning of academic research as well as academic publishing are introduced and applied: students critically review two term papers written by their student colleagues. Based on the reviews, the authors of the papers write reply letters and revise their own term papers. They finally present their topic during an in-house "mini-conference" with a talk.
Learning objective• Students become familiar with the academic peer-review and publishing process
• They learn to evaluate the quality of a manuscript and formulate constructive criticism
• They learn to deal with criticism of their own work (by their student peers)
• They practise oral presentations and discussions in English
ContentThe organization and functioning of academic research as well as academic publishing are introduced and applied: students critically review two term papers written by their student colleagues. Based on the reviews, the authors of the papers write reply letters and revise their own term papers. They finally present their topic during an in-house "mini-conference" with a talk.
Lecture notesnone
Prerequisites / NoticeDirect continuation of "Ecology and Evolution: Term Paper" of the previous semester
701-1708-00LInfectious Disease Dynamics4 credits2VS. Bonhoeffer, R. D. Kouyos, R. R. Regös, T. Stadler
AbstractThis course introduces into current research on the population biology of infectious diseases. The course discusses the most important mathematical tools and their application to relevant diseases of human, natural or managed populations.
Learning objectiveAttendees will learn about:
* the impact of important infectious pathogens and their evolution on human, natural and managed populations
* the population biological impact of interventions such as treatment or vaccination
* the impact of population structure on disease transmission

Attendees will learn how:
* the emergence spread of infectious diseases is described mathematically
* the impact of interventions can be predicted and optimized with mathematical models
* population biological models are parameterized from empirical data
* genetic information can be used to infer the population biology of the infectious disease

The course will focus on how the formal methods ("how") can be used to derive biological insights about the host-pathogen system ("about").
ContentAfter an introduction into the history of infectious diseases and epidemiology the course will discuss basic epidemiological models and the mathematical methods of their analysis. We will then discuss the population dynamical effects of intervention strategies such as vaccination and treatment. In the second part of the course we will introduce into more advanced topics such as the effect of spatial population structure, explicit contact structure, host heterogeneity, and stochasticity. In the final part of the course we will introduce basic concepts of phylogenetic analysis in the context of infectious diseases.
Lecture notesSlides and script of the lecture will be available online.
LiteratureThe course is not based on any of the textbooks below, but they are excellent choices as accompanying material:
* Keeling & Rohani, Modeling Infectious Diseases in Humans and Animals, Princeton Univ Press 2008
* Anderson & May, Infectious Diseases in Humans, Oxford Univ Press 1990
* Murray, Mathematical Biology, Springer 2002/3
* Nowak & May, Virus Dynamics, Oxford Univ Press 2000
* Holmes, The Evolution and Emergence of RNA Viruses, Oxford Univ Press 2009
Prerequisites / NoticeBasic knowledge of population dynamics and population genetics as well as linear algebra and analysis will be an advantage.