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300322 VU Biological Data: introduction to statistics and SPSS (2017W)

9.00 ECTS (6.00 SWS), SPL 30 - Biologie
Continuous assessment of course work

Äquivalent zu 300020 UE Angewandte Statistik für Anthropologen

Registration/Deregistration

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

Details

max. 28 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

There is a theoretical and a practical part of this course. Both parts will be held weekly. The practical part will probably take place on Mondays, the theoretical part will take place on Thursdays. The first class (including the preparatory meeting) will take place on October 5th.

Thursday 05.10. 08:30 - 10:30 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum (Kickoff Class)
Monday 09.10. 15:30 - 18:00 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Thursday 12.10. 08:30 - 10:30 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
Monday 16.10. 15:30 - 18:00 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Thursday 19.10. 08:30 - 10:30 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
Monday 23.10. 15:30 - 18:00 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Monday 30.10. 15:30 - 18:00 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Monday 06.11. 15:30 - 18:00 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Thursday 09.11. 08:30 - 10:30 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
Monday 13.11. 15:30 - 18:00 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Thursday 16.11. 08:30 - 10:30 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
Monday 20.11. 15:30 - 18:00 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Thursday 23.11. 08:30 - 10:30 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
Monday 27.11. 15:30 - 18:00 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Thursday 30.11. 08:30 - 10:30 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
Monday 04.12. 15:30 - 18:00 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Thursday 07.12. 08:30 - 10:30 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
Monday 11.12. 15:30 - 18:00 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Thursday 14.12. 08:30 - 10:30 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
Monday 08.01. 15:30 - 18:00 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Thursday 11.01. 08:30 - 10:30 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
Monday 15.01. 15:30 - 18:00 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Thursday 18.01. 08:30 - 10:30 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
Monday 22.01. 15:30 - 18:00 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Thursday 25.01. 08:30 - 10:30 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
Monday 29.01. 15:30 - 18:00 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG

Information

Aims, contents and method of the course

Commonly used statistical techniques with regard to the bachelor- (or master-)thesis shall be understood theoretically and practically, as well as being applied autonomously at the end of the course.

There will be one special topic for each lecture.
Among others, the following topics will be included.
-- Use and abuse of statistics
-- Handling of the data: designing a data file, quality assurance
-- Descriptive statistics
-- When to use which significance test?
-- Prerequisites, application and interpretation of commonly used significance tests
-- Tables and figures (what, how, when, where)
-- Verbal description of the computed results
-- Acquiring statistics autonomously (with instructions)

Assessment and permitted materials

Attendance, oral presentation, active participation and homework (open book), final papers (theoretical part: open book, practice: no books/materials allowed)

Minimum requirements and assessment criteria

The following criteria have to be met in order to pass this course:
Regular attendance (at least 80% in both parts of the course), handing in both final papers,
at least 51 credit points. In total, 100 points can be obtained:
Theory (50 points):
Written preparation on a statistical topic (10 points)
Active participation and homework (20 points)
Final paper (20 points)
Practice -- SPSS (50 points):
Homework (20 points)
Final paper (30 points)

Examination topics

Each topic is introduced by the lecturers. Demonstrations on the blackboard and in the specific software will support the talk. Examples will be discussed with the students and where possible also practiced in hands-on training during the practicum. Additional literature will be provided via handouts and the elearning-platform. To study each topic in more detail, there will be small written homework to be completed within the following week. Results and questions will then be discussed in class.

Reading list

Literature and additional information (handouts etc) will be provided on the Elearning-platform.

Association in the course directory

BAN 5, B-BAN 5

Last modified: Mo 07.09.2020 15:43