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Vorlesungsverzeichnis >> Naturwissenschaftliche Fakultät (Nat) >>
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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:
Thomas Mölg
Startsemester: |
WS 2018/2019 | Dauer: |
1 Semester | Turnus: |
jährlich (WS) |
Präsenzzeit: |
30 Std. | Eigenstudium: |
120 Std. | Sprache: |
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Lehrveranstaltungen:
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Advanced Methods: Advanced Climate Data Analysis
(Masterseminar, 2 SWS, Thomas Mölg, Einzeltermine am 24.10.2018, 7.11.2018, 14.11.2018, 28.11.2018, 12.12.2018, 8:30 - 11:30, 00.133 CIP-Raum 1; 17.1.2019, 8:30 - 11:30, 00.111 CIP-Raum 2, 03.145 Besprechungszimmer Geographie; 18.1.2019, 8:30 - 10:00, 03.145 Besprechungszimmer Geographie; ab 24.10.2018)
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/
Studien-/Prüfungsleistungen:
(Prüfungsnummer: 370480)
- , benotet
- 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 2018/2019, 1. Wdh.: SS 2019
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