Applied Numerics
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
Talk: 05.07.2017
Efficient simulation of epidemiological dynamics on networks
Alexander Lütteringhaus
Talk: 05.07.2017
Tau-leaping
Balduin Laubisch
Talk: 12.07.2017
Extrande algorithm
Daniel Seeler
Talk: 12.07.2017
Population estimation methods
Anika Novikov
Talk: 19.07.2017
Baysian estimation with MCMC and ABC
Lydia Buntrock
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).