Universität Wien

280073 VU MA-ERD Statistik in den Erdwissenschaften (PI) (2022W)

5.00 ECTS (4.00 SWS), SPL 28 - Erdwissenschaften, Meteorologie - Geophysik und
Prüfungsimmanente Lehrveranstaltung
VOR-ORT
Moodle

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 15 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

The first class is Tuesday 4th October

  • Dienstag 04.10. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
  • Dienstag 11.10. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
  • Dienstag 18.10. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
  • Dienstag 25.10. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
  • Dienstag 08.11. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
  • Dienstag 15.11. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
  • Dienstag 22.11. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
  • Dienstag 29.11. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
  • Dienstag 06.12. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
  • Dienstag 13.12. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
  • Dienstag 10.01. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
  • Dienstag 17.01. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
  • Dienstag 24.01. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
  • Dienstag 31.01. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

Please note: all students MUST bring a laptop (and power cable!) for each class (weekly) for the practical parts of this course. If you are not able to use you own laptop during the class please inform the instructors before the start of the course.

The students will learn the theory and practical application of a diverse set of statistical methods that are necessary for quantitative studies in palaeobiology and other Earth sciences. Guidelines for selection of data formats and methods appropriate for different types of analyses will be provided. This understanding is critical when planning and designing research projects. In addition, the advantages and disadvantages of different methods will be explained. The methods will be taught through the use of worked examples and practice data sets derived mainly from paleontology and geological sciences. The practical part of the course will cover fundamental aspects of analysis and visualization of univariate and multivariate data in R (no previous R skills are required). Course materials will be available online on Moodle.

Part of the course may rely on e-learning activities including live streaming of the lectures.

The course starts on 4th October 2022 in person. Bring a laptop and power cable. The three assignments for the Übung will be scheduled during the course depending on speed of progress. The written exam is to be held on Tuesday 31st January 2023.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Over the semester students will complete three assignments focusing on the practical aspects of data analysis (Übung). At the end of the course, there will be one written exam for the theoretical (lecture/Vorlesung) part, and the pass mark is 50%.
All parts must be passed to complete the course and gain the course credits.

Mindestanforderungen und Beurteilungsmaßstab

Handing in practical assignments, active participation and regular attendance (a minimum of 80% of the classes) are required, as is passing (minimum 50%) both the theoretical (lecture/Vorlesung) and practical (Übung) parts of the course.

There is an initial test (anonymous and not graded) to evaluate the level of understanding of the statistics by the students prior to the start of the course. This helps us plan the right level for the course.

Prüfungsstoff

Content of the lectures, practical assignments and active participation throughout the course.

Literatur

Reading materials will be uploaded to Moodle.

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Di 27.09.2022 10:30