General information
| Course name | Vorlesung mit Übung: Statistical Data Analysis with R. Wahlpflicht Master FES; Schwerpunkt Ecosystem Analysis and Modelling + Ecosystem Sciences |
| Subtitle | |
| Course number | 700531 |
| Semester | WiSe 2022/23 |
| Current number of participants | 41 |
| expected number of participants | 30 |
| Home institute | Abteilung Ökosystemmodellierung |
| Courses type | Vorlesung mit Übung in category Teaching |
| First date | Wednesday, 26.10.2022 14:15 - 16:00, Room: (CIP-Raum I (Forst Büsgenweg 4 (1620))) |
| Type/Form | |
| Learning organisation | Introduction to R as programming language for beginners, statistical data analysis including explorative data analysis, plotting, basic tests (t, F, non-parametric), ANOVA, simple linear regression, multiple regression, analysis of residuals, ANCOVA, non-linear regression, glms with focus on logistic regression, short introduction to tidyverse and ggplot; always including introduction to theory and to practical implementation in R. |
| Performance record |
→Ab hier automatisch erfasste Informationen / Beyond this point, the information is filled in automatically← Prüfungsleistung(en) je Modul / Exam details per module: * [(M.FES.115.Mp) Statistical data analysis with R][1] * Klausur: Do, 16.02.2023, von 10:00:00 bis 12:00:00 ([CIP-Raum II \(Forst Büsgenweg 4 \(1620)) ][2]) * Klausur: Do, 16.02.2023, von 10:00:00 bis 12:00:00 ([CIP-Raum III \(Forst Büsgenweg 4 \(1620)) ][3]) * Klausur: Do, 16.02.2023, von 10:00:00 bis 12:00:00 ([CIP-Raum I \(Forst Büsgenweg 4 \(1620)) ][4]) [1]: https://ecampus.uni-goettingen.de/h1/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=25655&periodId=275 [2]: https://www.geodata.uni-goettingen.de/lageplan/?ident=1620_1_EG_0.108 [3]: https://www.geodata.uni-goettingen.de/lageplan/?ident=1620_1_EG_0.106 [4]: https://www.geodata.uni-goettingen.de/lageplan/?ident=1620_1_EG_0.109 |
