|
|
Root number
|
467294 |
|
Semester
|
HS2025 |
|
Type of course
|
Lecture |
|
Allocation to subject
|
Bioinformatics |
|
Type of exam
|
Written exam |
| Title |
Computational Epidemiology |
| Description |
This course gives an introduction to mathematical models used in epidemiology, and presents and discusses novel mathematical, computational and statistical approaches to study the spread of infectious diseases. No prior knowledge about epidemiology is necessary. A basic understanding of mathematical modelling (mainly ordinary differential equations), computational evolutionary biology and phylogenetics, and bioinformatics is useful for this course. The course will cover various topics, ranging from standard SIR models to phylogeographic approaches, models of treatment resistance, reconstruction of evolutionary dynamics, and the development usage of tools such as tracing apps.
Form of implementation: |
|
ILIAS-Link (Learning resource for course)
|
Registrations are transmitted from CTS to ILIAS (no admission in ILIAS possible).
ILIAS
|
|
Link to another web site
|
|
| Lecturers |
Dr.
Stephan Peischl, Bioinformatics and Computational Biology ✉
|
|
Prof. Dr.
Claudia Bank, Institute of Ecology and Evolution (IEE) ✉
|
|
ECTS
|
1.5 |
|
Recognition as optional course possible
|
Yes |
|
Grading
|
passed/failed |
| |
| Dates |
Wednesday 09:15-12:00 Weekly
|
|
Wednesday 13:15-15:00 Weekly
|
| |
| Rooms |
Seminarraum 304, Hauptgebäude H4
|
| |
| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
User:
Öffentlicher Bereich
Support