Time: every wednesday 14:30-16:00
Place: Arnimallee 7, SR 140
Requirement for course fullfillment (Studienleistung):
superwised work on one study topic each (1-2 research articles + 1 review), including a small programming task and presentation of the topic (incl. own achievements/results); ca 30-40 min + 10 min discussion.
Lecturer : Vitaly Belik
Intro & Overview (slides)
Lecturer: Max von Kleist, Vikram Sunkara
Networks, Generating Networks and simulation of processes on networks (slides)
Lecturer: Vitaly Belik
Advanced methods for stochastic simulation (lecture notes)
Lecturer: Max von Kleist
Population and Bayesian parameter inference techniques (slides)
Lecturer: Vikram Sunkara
31.05.17, 07.06.17, 14.06.17, 21.06.17, 28.06.17
project work & preparation
Networks and epidemics on networks
Talk II: Efficient simulation of epidemiological dynamics on networks: Alexander Lütteringhaus (slides , codes)
Advanced stochastic simulation
Efficient simulation of epidemiological dynamics on networks
Population estimation methods
Baysian estimation with MCMC and ABC
Each project will we conducted by one student and presented during the seminar. Supervision/feedback from the project supervisors will be given at three distinct appointments.Supervision of Project Work
- The first appointment is intended to clarify the tasks related to the study topic. The student is expected to be prepared in the sense that he/she has read the project portfolio or started the programming tasks and may have particular questions.
- The second appointment is intended to solve particular issues regarding e.g. the programming tasks, if any have arisen, or if the student is stuck. The student presents his/her achievements up to this time point and discusses ways to present the work and obtains feedback.
- The last appointment in intended to review the results and to abtain feedback from the supervisors regarding the presentation of the topic.
Useful advises for the preparation of scientific talks
- Please refer to the following list of useful advises ( in german).