Zurück zur Auswahl
Semester | Herbstsemester 2025 |
Angebotsmuster | Jedes Herbstsemester |
Dozierende | Natacha Bodenhausen (natacha.bodenhausen@unibas.ch, BeurteilerIn) |
Inhalt | In this course, students will bring a problem from their PhD or master’s project to share with the class. Students will get tailored advice about the appropriate statistical analysis/approach for their data in this course. They will work on their problem with guidance from the instructor and peer support through regular online meetings. At the end of the course, students will present their solution to the class. Workshop 1: Introduction and organization, Students’ presentation of their problem. Week 2-Week 11: Weekly group online classes on Wednesdays at 1 pm (1.5 hours). Workshop 2: Final presentations of students’ projects, discussion and feedback. |
Lernziele | - Students will gain hands-on experience using GitHub within RStudio for version control and collaboration - Students will develop an R script tailored to analyze their specific research problem - Students will contribute to a shared repository of R scripts, enhancing collective learning and code reusability |
Teilnahmevoraussetzungen | Participation is limited to 12 students, with priority given to PSC PhD and master students. Participants should have basic knowledge of R (for example, attendance of the PSC course “Introduction to R”) as well as a basic course in statistics. Before the start of the course, please send an email to natacha.bodenhausen@unibas.ch including your PhD program or master’s program and a short description of your problem (5 sentences maximum). |
Unterrichtssprache | Englisch |
Einsatz digitaler Medien | kein spezifischer Einsatz |
Intervall | Wochentag | Zeit | Raum |
---|---|---|---|
unregelmässig | Siehe Einzeltermine |
Datum | Zeit | Raum |
---|---|---|
Mittwoch 17.09.2025 | 13.00-16.00 Uhr | Kollegienhaus, Hörsaal 120 |
Mittwoch 10.12.2025 | 13.00-16.00 Uhr | Kollegienhaus, Hörsaal 120 |
Module |
Doktorat Botanik: Empfehlungen (Promotionsfach: Botanik) Lehrveranstaltungen Masterstudium Ökologie (Masterstudium: Ökologie (Studienbeginn vor 01.08.2025)) Lehrveranstaltungen Masterstudium Pflanzenwissenschaften (Masterstudium: Pflanzenwissenschaften (Studienbeginn vor 01.08.2025)) Modul: Lehrveranstaltungen des Masterstudiengangs Ökologie (Masterstudium: Ökologie) Modul: Lehrveranstaltungen des Masterstudiengangs Pflanzenwissenschaften (Masterstudium: Pflanzenwissenschaften) |
Prüfung | Lehrveranst.-begleitend |
Hinweise zur Prüfung | Active participation, including a mandatory 6 hours of in-person engagement, 10 online classes, and the submission of an R script presenting the solution to the problem. |
An-/Abmeldung zur Prüfung | Anm.: Belegen Lehrveranstaltung; Abm.: stornieren |
Wiederholungsprüfung | keine Wiederholungsprüfung |
Skala | Pass / Fail |
Belegen bei Nichtbestehen | beliebig wiederholbar |
Zuständige Fakultät | Philosophisch-Naturwissenschaftliche Fakultät, studiendekanat-philnat@unibas.ch |
Anbietende Organisationseinheit | Integrative Biologie |