Universität Wien FIND

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280073 VU MA-ERD-P-1 Statistics in Earth Sciences (PI) (2020W)

Continuous assessment of course work

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

Every Tuesday 9.00 to 12.30
Preliminary meeting on Tuesday, 06.10, 9:00-10:30
Room 2A502, 5th floor, UZAII, Geozentrum, Althanstraße 14

Tuesday 06.10. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
Tuesday 13.10. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
Tuesday 20.10. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
Tuesday 27.10. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
Tuesday 03.11. 09:00 - 12:30 Digital
Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
Tuesday 10.11. 09:00 - 12:30 Digital
Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
Tuesday 17.11. 09:00 - 12:30 Digital
Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
Tuesday 24.11. 09:00 - 12:30 Digital
Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
Tuesday 01.12. 09:00 - 12:30 Digital
Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
Tuesday 15.12. 09:00 - 12:30 Digital
Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
Tuesday 12.01. 09:00 - 12:30 Digital
Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
Tuesday 19.01. 09:00 - 12:30 Digital
Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
Tuesday 26.01. 09:00 - 12:30 Digital
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.

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 08.01.2021 12:29