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Advanced Methods – Advanced Climate Data Analysis (ACDA)5 ECTS (englische Bezeichnung: Advanced Methods – Advanced Climate Data Analysis)
Modulverantwortliche/r: Thomas Mölg Lehrende:
Wolfgang Meier
Startsemester: |
WS 2022/2023 | Dauer: |
1 Semester | Turnus: |
jährlich (WS) |
Präsenzzeit: |
30 Std. | Eigenstudium: |
120 Std. | Sprache: |
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Lehrveranstaltungen:
Empfohlene Voraussetzungen:
n/s
Inhalt:
Selected methods related to the analysis of climate data & meteorological data
Lernziele und Kompetenzen:
The students
understand the major principles of data availability and production;
practice different statistical methods for the problems at hand;
understand the importance of different space/time scales for the analysis and interpretation of climate data;
and are aware of the pitfalls of different types of climate data, which puts them in the position to make correct interpretations;
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:
M.Sc. Climate & Environmental Sciences
Mastersemester 1 + 2
Weitere Informationen:
www: https://www.geographie.nat.fau.de/studium/studiengaenge/master/
Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan: Das Modul ist im Kontext der folgenden Studienfächer/Vertiefungsrichtungen verwendbar:
- Climate & Environmental Sciences (Master of Science)
(Po-Vers. 2017w | NatFak | Climate & Environmental Sciences (Master of Science) | Consolidation Modules - Emphasis on Climate Research | Advanced Methods: Advanced Climate Data Analysis)
- Climate & Environmental Sciences (Master of Science)
(Po-Vers. 2017w | NatFak | Climate & Environmental Sciences (Master of Science) | Elective Modules: Advanced Methods A + B (graded) | Advanced Methods: Advanced Climate Data Analysis)
- Climate & Environmental Sciences (Master of Science)
(Po-Vers. 2017w | NatFak | Climate & Environmental Sciences (Master of Science) | Elective Modules: Advanced Methods C (ungraded) | Advanced Methods: Advanced Climate Data Analysis)
- Data Science (Master of Science)
(Po-Vers. 2021w | Gesamtkonto | Anwendungsfächer | Geographie | Advanced Methods: Advanced Climate Data Analysis)
- Physical Geography: Climate & Environmental Sciences (Master of Science)
(Po-Vers. 2020w | Gesamtkonto | Elective Modules: Advanced Methods A + B (graded) | Advanced Methods: Advanced Climate Data Analysis)
- Physical Geography: Climate & Environmental Sciences (Master of Science)
(Po-Vers. 2020w | Gesamtkonto | Elective Modules: Advanced Methods C (ungraded) | Advanced Methods: Advanced Climate Data Analysis)
- Physical Geography: Climate & Environmental Sciences (Master of Science)
(Po-Vers. 2020w | Gesamtkonto | Consolidation Modules - Emphasis on Climate Research | Advanced Methods: Advanced Climate Data Analysis)
Studien-/Prüfungsleistungen:
Advanced Climate Data Analysis (Prüfungsnummer: 60801)
(englischer Titel: Advanced Climate Data Analysis)
- Prüfungsleistung, Seminarleistung, benotet, 5 ECTS
- Anteil an der Berechnung der Modulnote: 100.0 %
- weitere Erläuterungen:
Weekly assignment (Problem-solving issues within the broader context of Climate Data Analysis, max. 3 pages) or written paper (max. 15 pages), 100 %
Grading: 100% module examination
- Erstablegung: WS 2022/2023, 1. Wdh.: SS 2023
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UnivIS ist ein Produkt der Config eG, Buckenhof |
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