Spatial data analysis with numerical methods - Einzelansicht

Funktionen:

Veranstaltungsart	Vorlesung/Übung	Veranstaltungsnummer
SWS	4	Semester	WiSe 2020/21
Einrichtung	Institut für Geowissenschaften	Sprache	englisch
Belegungsfrist	19.10.2020 - 01.02.2021 Belegung über PULS

Gruppe 1:

Vormerken: jetzt belegen / abmelden

		Tag	Zeit	Rhythmus	Dauer	Raum	Lehrperson	Ausfall-/Ausweichtermine	Max. Teilnehmer/-innen
	Vorlesung/Übung	-	09:00 bis 17:00	Block	22.02.2021 bis 26.02.2021	Online.Veranstaltung

Literatur	McKinney, W., 2013, Python for Data Analysis, O'Reilly. Garrard, C., 2016, Geoprocessing with Python, Manning Publications. Drabas, T., 2016, Practical Data Analysis Cookbook, Packt Publishing Press. W. H., Teukolsky, S. A., Vetterling, W. T., Flannery, B. P., 1992, Numerical Recipes in C, Cambridge University Press.
Leistungsnachweis	Final presentation of your own research project.
Lerninhalte	The Module provides an introduction into the different possibilities to program in Python for scientific research in the Earth sciences. This includes an introduction to fundamental methods and concepts of numerical data analysis as well as hands-on lab exercises with scientific relevant research questions.

Literatur

McKinney, W., 2013, Python for Data Analysis, O'Reilly.

Garrard, C., 2016, Geoprocessing with Python, Manning Publications.

Drabas, T., 2016, Practical Data Analysis Cookbook, Packt Publishing Press.

W. H., Teukolsky, S. A., Vetterling, W. T., Flannery, B. P., 1992, Numerical Recipes in C, Cambridge University Press.

Leistungsnachweis

Final presentation of your own research project.

Lerninhalte

The Module provides an introduction into the different possibilities to program in Python for scientific research in the Earth sciences. This includes an introduction to fundamental methods and concepts of numerical data analysis as well as hands-on lab exercises with scientific relevant research questions.

Strukturbaum

Keine Einordnung ins Vorlesungsverzeichnis vorhanden. Veranstaltung ist aus dem Semester WiSe 2020/21 , Aktuelles Semester: SoSe 2024