Termine
| wöchentlich | Dienstag | 10:15 - 11:45 | 06.04.2026 - 10.07.2026 | C HS 3 | @Raumplanung: HS für 185 Personen benötigt |
Studienplankontext
grade [28871] Basic Concepts of Mathematics and Statistics
Präsenzklausur
Wiederholungstermin: : Keine selbständige Anmeldung zum Wiederholungstermin möglich. info_outline
Montag, 14.09.2026, 16:15, room C HS 2
Organisatorisches
Anmeldung
Die Anmeldung endete am 07.4.2026 um 23:59 Uhr
Sie werden in dieser Veranstaltung automatisch an-/abgemeldet, wenn Sie sich in einer der folgenden Veranstaltungen an-/abmelden:
Tutorial on Mathematics and Statistics 1 (UWI) (Henrik von Wehrden),
Tutorial on Mathematics and Statistics 2 (UWI) (Elisabeth Frank),
Tutorial on Mathematics and Statistics 3 (UWI) (Henrik von Wehrden),
Tutorial on Mathematics and Statistics 4 (GESS) (Jorge Gustavo Rodríguez Aboytes),
Tutorial on Mathematics and Statistics 5 (GESS) (Emma Saxena),
Tutorial on Mathematics and Statistics 6 (GESS) (Henrik von Wehrden)
Personen
Inhaltliches
Gasthörerprogramm
The lecture is a the main basis of gaining an understanding of quantitative analyses in environmental and sustainability science as part of the module. The lecture is structured into five parts. 1) A basic introduction, including a recap of descriptive statistics, and a quick overview on data formats, data distribution and simple tests. 2) Correlations and linear models as a pivotal part of the analyses of continuous data. 3) Analyses of variance, allowing designing simple experiments and for comparing variance among different groups. 4) A quick overview of different types of experiments, and a short discussion of the normative dimensions of statistics. 5) A glimpse on Advanced statistics, including ethics and a look at future statistics.
The lecture is the main basis of information -building on a flipped classroom format between videos and a central WIKI-, and the associated tutorials are intended to deepen the understanding on the different topics and provide applied skills and knowledge. The Wiki serves as a theoretical basis, the videos provide focussed explanations, which can be considered a basis for further research projects and your thesis, should you choose to work with quantitative methods. The tutorials repeat the respective content and provide a learning experience in R.
Attending the lecture will be your best basis for gaining knowledge, and will increase your chances on passing the exam with a decent grade.
This lecture is intended to enable students to have a basic understanding of statistics and mathematics in order to be able to design their own research projects.
Evaluation
Weitere Informationen zur Lehrevaluation: https://www.leuphana.de/lehre/qualitaetsmanagement/evaluation-feedback.html