Wintersemester 2025/26
Institut für Tierökologie
Institut für Tiergenomik
Institut für Terrestrische und Aquatische Wildtierforschung (Hannover)
Institut für Terrestrische und Aquatische Wildtierforschung (Büsum)
Radespiel, Pröhl, Rodriguez, Sabine Schmidt, Scheumann, Keuling, Schaffeld, Julia Metzger, Hadrys, Schierwater
Vorlesung, 180 StundenMontag 09:15 - 12:45 Uhr
Freitag 09:15 - 10:30 Uhr
Institut für Tierökologie
Institut für Tiergenomik
Institut für Terrestrische und Aquatische Wildtierforschung (Hannover)
Institut für Terrestrische und Aquatische Wildtierforschung (Büsum)
Institut für Biochemie
Institut für Pharmakologie Toxikologie und Pharmazie
Institut für Zoologie
Institut für Tiergenomik
(Schwerpunkt Zellbiologie)
Stern, von Köckritz-Blickwede, Gernert, Esser, Elfers, Felmy, Jung, Mohamed, Lasswitz, Meurer
Vorlesung, 180 StundenMo 11-18 Uhr; Di-Mi 9-13 Uhr; Fr 10-13 Uhr, Einzeltermine siehe Masterstundenplan
Vermittlung der Fähigkeit, zelluläre Prozesse auf molekularer Ebene zu analysieren und zu erklären
Institut für Biochemie
Institut für Pharmakologie Toxikologie und Pharmazie
Institut für Zoologie
Institut für Tiergenomik
WHO-Zentrum
Institut für Virologie
Institut für Immunologie
Research Center for Emerging Infections and Zoonoses
Schwerpunkt "Infektionsbiologie"""
Becker, Meens, Strommenger, Volz, Ludlow
Vorlesung, 5 StundenMi 9-13 Uhr; Fr 12-13:30 Uhr
Grundlagen der Erregerbiologie (Viren, Bakterien, Parasiten) und Infektionsimmunologie
WHO-Zentrum
Institut für Virologie
Institut für Immunologie
Research Center for Emerging Infections and Zoonoses
L. Kreienbrock, F. Freise
Übung, 24 StundenDo 11-13 Uhr, see curriculum
computer exercises with SAS and R and for:
- good clinical practice
- standards in experimental designs
- general principles of statistical modelling (ANOVA, regresion, logistic regression, survical curves)
- meta-analyses
- sample size calculation
Basic statistical knowledge is assumed for this purpose.
L. Kreienbrock, F. Freise
Vorlesung, 26 StundenDo 9-11 Uhr
- good clinical practice
- standards in experimental designs
- general principles of statistical modelling (ANOVA, regression, logistic regression, survial curves)
- meta-analyses
- sample size calculation
Leonhard-Marek, Osigus
single Seminar, 2 hours, max. 20 participantsTue 14.10.25, 14:00 - 16:00
After a general introduction to ?where, how and what to search?, we will have a more detailed look into different kinds of search engines, databases, catalogues and discovery systems. In addition, we will elaborate effective search strategies, which are optimized based on the specific demands.
Furthermore, we will discuss multiple aspects of good scientific practice and critical appraisal of scientific literature.
obligatory for 1st year
Behrens (coordination)
block Seminar, 24 hoursThu 05.02.26 - Fri 06.02.26, 09:00 - 16:00
The aim is to introduce students to major topics in the field of Animal and Zoonotic Infections.
Kreienbrock, Freise
block Lecture, 12 hours, max. 30 participantsMon 12.01.26 - Wed 14.01.26, 09:00 - 13:00
General repetition of statistical methods
lecture 1: Basics in biometry (Jan, 20)
- Introduction
- Descriptive statistics
- Binomial and Normal distribution
- Confidence intervals
lecture 2: Basics in statistical inference (Jan, 21)
- t-test and chi²-test
- correlation and regression analysis
lecture 3: Basics in model building (Jan, 22)
- Analysis of variance
- short software training
Osigus, Leonhard-Marek
single Workshop, 2 hours, max. 20 participantsTue 21.10.25, 14:00 - 16:00
EndNote enables its users to manage bibliographic data as well as full text documents effectively. It is a useful tool to add citations to a text document which suit the formal requirements of a research article or a PhD thesis. The features of EndNote will be explored by means of various examples.
Osigus, Leonhard-Marek
single Seminar, 2 hours, max. 20 participantsTue 28.10.25, 14:00 - 16:00
The processes of collecting, organising, analysing and communicating data are essential elements of conducting research. If research data is not systematically processed, a subsequent data loss is inevitable. The loss of data results in fragmented data sets which prevents further reuse and therefore is in contradiction to the rules of good scientific practice.
This seminar focuses on improving knowledge, awareness and skills in research data management to establish sustainable data environments. Data handling strategies and best practices will also be discussed in the context of Open Science.