BIO.07669.03 - Compulsory module 'Design of Research Studies' (MSc) (Vollständige Modulbeschreibung)

BIO.07669.03 - Compulsory module 'Design of Research Studies' (MSc) (Vollständige Modulbeschreibung)

Originalfassung Englisch
BIO.07669.03 5 CP
Modulbezeichnung Compulsory module 'Design of Research Studies' (MSc)
Modulcode BIO.07669.03
Semester der erstmaligen Durchführung
Fachbereich/Institut Institut für Biologie
Verwendet in Studiengängen / Semestern
  • Biodiversity Sciences (MA120 LP) (Master) > Biologie BiodiversityMA120, Akkreditierungsfassung gültig ab SS 2021 > Pflichtmodule
Modulverantwortliche/r
Weitere verantwortliche Personen
Prof. Dr. Helge Bruelheide
Teilnahmevoraussetzungen
Kompetenzziele
  • Understand the importance of formulating clear research questions and aligning them with appropriate study designs and statistical tools.
  • Obtain an overview of research designs for experimental, observational and modelling studies; including their advantages, disadvantages and pitfalls.
  • Demonstrate the ability to critically evaluate different research designs for experimental, observational and modelling studies, and identify their respective strengths, limitations, and potential sources of bias. Gain practical experience in designing research studies through case studies and real-world examples in the field of biodiversity sciences.
Modulinhalte
  • Common basics for research design: deductive and inductive methods, data distributions, (non-)independence of samples, (non-)independence (covariation) of environmental variables/treatments (predictors)
  • Design of experimental studies; e.g. factorial, nested, split-plot designs
  • Design of observational studies: different approaches of spatial sampling (point sampling, grid sampling, regular, random, arbitrary, presence-only, presence/absence), temporal sampling (continuous/discontinuous, within year/among years), collinearity among environmental factors
  • Design of modelling studies: conceptual models, phenomenological models, process-based models (cellular automata, differential equations, mechanistic, agent-based models)
Lehrveranstaltungsformen Vorlesung (2 SWS)
Seminar (2 SWS)
Kursus
Unterrichtsprachen Deutsch, Englisch
Dauer in Semestern 2 Wochen in der Vorlesungsfreien Zeit Semester
Angebotsrhythmus Modul jedes Wintersemester
Aufnahmekapazität Modul unbegrenzt
Prüfungsebene
Credit-Points 5 CP
Modulabschlussnote LV 1: %; LV 2: %; LV 3: %.
Faktor der Modulnote für die Endnote des Studiengangs 1
Hinweise
The compulsory modules require physical presence. In case of inability to attend (due to illness or other reasons) the lecturer must be notified promptly.
To earn course credits, students must not exceed a 10% absence, equivalent to missing one day in a two weeks block module. In case of a longer absence there might be the possibility to compensate for missed days by additional tasks.
Modulveran­staltung Lehrveranstaltungs­form Veranstaltungs­titel SWS Workload Präsenz Workload Vor- / Nach­bereitung Workload selbstge­staltete Arbeit Workload Prüfung incl. Vorbereitung Workload Summe
LV 1 Vorlesung Vorlesung 2 0
LV 2 Seminar Seminar 2 0
LV 3 Kursus Selbststudium 0
Workload modulbezogen 150 150
Workload Modul insgesamt 150
Prüfung Prüfungsvorleistung Prüfungsform
LV 1
LV 2
LV 3
Gesamtmodul
Hausarbeit
Wiederholungsprüfung
Regularien Teilnahme­voraussetzungen Angebots­rhythmus Anwesenheits­pflicht Gewicht an Modulnote in %
LV 1 Wintersemester Nein %
LV 2 Wintersemester Nein %
LV 3 Wintersemester Nein %