Organization

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.

Detailed Schedule

19.04.17

Motivation (slides)

Lecturer : Vitaly Belik

03.05.17

Intro & Overview (slides)

Lecturer: Max von Kleist, Vikram Sunkara

10.05.17

Networks, Generating Networks and simulation of processes on networks (slides)

Lecturer: Vitaly Belik

17.05.17

Advanced methods for stochastic simulation (lecture notes)

Lecturer: Max von Kleist

24.05.17

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

05.07.17

Networks and epidemics on networks

Talk I: Generating Networks: Jacob Gora  (slides , codes)

Talk II: Efficient simulation of epidemiological dynamics on networks: Alexander Lütteringhaus (slides , codes)

12.07.17

Advanced stochastic simulation

Talk I: Tau-leaping: Balduin Laubisch (slides , codes)

Talk II: The extrande algorithm: Daniel Seeler (slides , codes)

19.07.17

Advanced Inference

Talk I: Population models/population pharmacokinetics: Anika Novikov (slides, codes)

Talk II: Baysian Inference with the ABC and MCMC algorithm: Lydia Buntrock (slides, codes)

Study Topics

Generating Networks

Jacob Gora

Description, Literature

Talk: 05.07.2017

Efficient simulation of epidemiological dynamics on networks

Alexander Lütteringhaus

Description, Literature

Talk: 05.07.2017

Tau-leaping

Balduin Laubisch

Description, Literature

Talk: 12.07.2017

Extrande algorithm

Daniel Seeler

Description, Literature

Talk: 12.07.2017

Population estimation methods

Anika Novikov

Description, Data, Literature

Talk: 19.07.2017

Baysian estimation with MCMC and ABC

Lydia Buntrock

Descrition, Literature

Talk: 19.07.2017

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).