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Data Science (Master of Science) >>

Advanced Methods – Soil Science (SoilS)5 ECTS
(englische Bezeichnung: Advanced Methods – Soil Science)
(Prüfungsordnungsmodul: Advanced Methods: Soil Science)

Modulverantwortliche/r: Rupert Bäumler
Lehrende: Sebastian Feick


Start semester: WS 2022/2023Duration: 1 semesterCycle: jährlich (WS)
Präsenzzeit: 30 Std.Eigenstudium: 120 Std.Language: Englisch

Lectures:

    • Advanced Methods MSc: Scripting for GIS analysis
      (PG Masterseminar, 2 SWS, Sebastian Feick, single appointment on 25.10.2022, single appointment on 8.11.2022, single appointment on 22.11.2022, single appointment on 6.12.2022, single appointment on 20.12.2022, single appointment on 10.1.2023, single appointment on 24.1.2023, 14:15 - 17:30, 00.133 CIP-Raum 1; starting 25.10.2022; No preliminary talk.)

Empfohlene Voraussetzungen:

n/s

Inhalt:

Application of sampling techniques, analytical methods and data interpretation in soil science

Lernziele und Kompetenzen:

The students

  • understand the major principles of soil related questions in theory and practice (field methods and analytical techniques)

  • practice field sampling techniques, preparation of soil samples, and lab analyses of soil physical and chemical parameters

  • learn how to run quality controls of soil analytical data

  • learn how to interpret analytical data subject to research questions

  • learn how to relate soil data to environmental issues

  • understand applicability and limitations of the applied methods

A series of practical exercises builds on each other throughout the course. Results of these exercises will develop from individual contributions and small-group work, and from a discussion with the whole group. Course attendance is therefore compulsory.

Literatur:

Will be provided at the beginning of the course.

Bemerkung:

MSc Climate & Environmental Sciences
Semester 1 + 2


Weitere Informationen:

www: https://www.geographie.nat.fau.de/studium/studiengaenge/master/

Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:

  1. Data Science (Master of Science)
    (Po-Vers. 2021w | Gesamtkonto | Anwendungsfächer | Geographie | Advanced Methods: Soil Science)
Dieses Modul ist daneben auch in den Studienfächern "Climate & Environmental Sciences (Master of Science)", "Physical Geography: Climate & Environmental Sciences (Master of Science)" verwendbar. Details

Studien-/Prüfungsleistungen:

Soil Science (Prüfungsnummer: 61251)

(englischer Titel: Soil Science)

Prüfungsleistung, Hausarbeit, benotet, 5 ECTS
Anteil an der Berechnung der Modulnote: 100.0 %
weitere Erläuterungen:
Written paper (max. 15 pages), 100 %
Grading: 100 % module examination

Erstablegung: WS 2022/2023, 1. Wdh.: SS 2023
1. Prüfer: Rupert Bäumler

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