Universität Wien

280073 VU MA-ERD Statistics in Earth Sciences (PI) (2021W)

5.00 ECTS (4.00 SWS), SPL 28 - Erdwissenschaften, Meteorologie - Geophysik und
Continuous assessment of course work
ON-SITE
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 15 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

The course starts on 5th October 2021 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 site on Tuesday 25th January 2022.

  • Tuesday 05.10. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
  • Tuesday 12.10. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
  • Tuesday 19.10. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
  • Tuesday 09.11. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
  • Tuesday 16.11. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
  • Tuesday 23.11. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
  • Tuesday 30.11. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
  • Tuesday 07.12. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
  • Tuesday 14.12. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
  • Tuesday 11.01. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
  • Tuesday 18.01. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
  • Tuesday 25.01. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II

Information

Aims, contents and method of the course

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 5th October 2021 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 25th January 2022.

UPDATE (19.11.2021): Starting from 23.11 the course will be held online as a webinar, live streamed at the time of the lecture (9:00 to 12:30).

Assessment and permitted materials

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.

Minimum requirements and assessment criteria

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.

Examination topics

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

Reading list

Reading materials will be uploaded to Moodle.

Association in the course directory

Last modified: Fr 01.04.2022 09:09