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280173 VU Statistics in Earth Sciences (2025W)
Continuous assessment of course work
Labels
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).
- Registration is open from Th 04.09.2025 08:00 to Mo 22.09.2025 23:59
- Registration is open from Th 25.09.2025 00:00 to We 08.10.2025 08:00
- Deregistration possible until Fr 31.10.2025 23:59
Details
max. 15 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- N Tuesday 07.10. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
- Tuesday 14.10. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
- Tuesday 21.10. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
- Tuesday 28.10. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
- Tuesday 04.11. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
- Tuesday 11.11. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
- Tuesday 18.11. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
- Tuesday 25.11. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
- Tuesday 02.12. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
- Tuesday 09.12. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
- Tuesday 16.12. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
- Tuesday 13.01. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
- Tuesday 20.01. 09:00 - 12:30 Seminarraum Paläontologie "Melchior Neumayr" 2A502 5.OG UZA II
- Tuesday 27.01. 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 build on previous statistical knowledge and use theory and practical applications of a diverse set of statistical methods that are necessary for quantitative studies in palaeobiology. 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. Course materials will be available online on Moodle.The written exam is to be held in January 2026.
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.
All parts must be passed to complete the course and gain the course credits.
Minimum requirements and assessment criteria
Previous knowledge of statistics is expected. For those whose bachelor programme was in Earth Sciences at the University of Vienna, please revise the contents of course: BA-ERD-11 Mathematics II: Analysis and Statistics before taking this course. For those whose bachelor programme was in Biology at the University of Vienna, please revise the contents of course: BIO 4 Physics and Statistics before taking this course.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 questionnaire (anonymous and not graded) to evaluate the level of understanding of the statistics by the students prior to the start of the course.
Examination topics
Content of the lectures, practical assignments and active participation throughout the course.
Reading list
All reading materials will be uploaded to Moodle.
Association in the course directory
MA-ERD-P1; MA-ERD-W2.2; MES 1;
Last modified: Tu 26.08.2025 12:06