Universität Wien FIND

300006 VU Statistical analysis in practice: from raw data to presentation (2019W)

3.00 ECTS (2.00 SWS), SPL 30 - Biologie
Continuous assessment of course work

Registration/Deregistration

Details

max. 50 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

The exact dates are still to be announced. There are six dates for the course and an additional one for the final tasks (two options, one needs to be chosen). The first regular course will be immediately after the preparatory meeting on October 4, 2019, 2 p.m. Those who do not attend, will be deregistered so that students from the waiting list succeed.

Friday 04.10. 14:00 - 15:30 Seminarraum Anthropologie, UZA 1, Biozentrum Althanstraße 14 2.001 1.OG
Friday 04.10. 15:30 - 17:00 Computerraum Anthropologie Biozentrum 2.006 1.OG
EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Friday 11.10. 14:00 - 15:30 Seminarraum Anthropologie, UZA 1, Biozentrum Althanstraße 14 2.001 1.OG
Friday 11.10. 15:30 - 17:00 Computerraum Anthropologie Biozentrum 2.006 1.OG
EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Friday 18.10. 14:00 - 15:30 Seminarraum Anthropologie, UZA 1, Biozentrum Althanstraße 14 2.001 1.OG
Friday 18.10. 15:30 - 17:00 Computerraum Anthropologie Biozentrum 2.006 1.OG
EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Friday 25.10. 14:00 - 15:30 Seminarraum Anthropologie, UZA 1, Biozentrum Althanstraße 14 2.001 1.OG
Friday 25.10. 15:30 - 17:00 Computerraum Anthropologie Biozentrum 2.006 1.OG
EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Friday 08.11. 14:00 - 15:30 Seminarraum Anthropologie, UZA 1, Biozentrum Althanstraße 14 2.001 1.OG
Friday 08.11. 15:30 - 17:00 Computerraum Anthropologie Biozentrum 2.006 1.OG
EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Friday 15.11. 14:00 - 15:30 Seminarraum Anthropologie, UZA 1, Biozentrum Althanstraße 14 2.001 1.OG
Friday 15.11. 15:30 - 17:00 Computerraum Anthropologie Biozentrum 2.006 1.OG
EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Friday 22.11. 14:00 - 15:30 Seminarraum Anthropologie, UZA 1, Biozentrum Althanstraße 14 2.001 1.OG
Friday 22.11. 15:30 - 17:00 Computerraum Anthropologie Biozentrum 2.006 1.OG
EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Friday 29.11. 14:00 - 15:30 Seminarraum Anthropologie, UZA 1, Biozentrum Althanstraße 14 2.001 1.OG
Friday 29.11. 15:30 - 17:00 Computerraum Anthropologie Biozentrum 2.006 1.OG
EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Friday 06.12. 14:00 - 15:30 Seminarraum Anthropologie, UZA 1, Biozentrum Althanstraße 14 2.001 1.OG
Friday 06.12. 15:30 - 17:00 Computerraum Anthropologie Biozentrum 2.006 1.OG
EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Friday 10.01. 14:00 - 15:30 Seminarraum Anthropologie, UZA 1, Biozentrum Althanstraße 14 2.001 1.OG
Friday 10.01. 15:30 - 17:00 Computerraum Anthropologie Biozentrum 2.006 1.OG
EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Friday 17.01. 14:00 - 15:30 Seminarraum Anthropologie, UZA 1, Biozentrum Althanstraße 14 2.001 1.OG
Friday 17.01. 15:30 - 17:00 Computerraum Anthropologie Biozentrum 2.006 1.OG
EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Friday 24.01. 14:00 - 15:30 Seminarraum Anthropologie, UZA 1, Biozentrum Althanstraße 14 2.001 1.OG
Friday 24.01. 15:30 - 17:00 Computerraum Anthropologie Biozentrum 2.006 1.OG
EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Friday 31.01. 14:00 - 15:30 Seminarraum Anthropologie, UZA 1, Biozentrum Althanstraße 14 2.001 1.OG
Friday 31.01. 15:30 - 17:00 Computerraum Anthropologie Biozentrum 2.006 1.OG
EDV-Raum 2 Ökologie Biozentrum Z1.023 EG

Information

Aims, contents and method of the course

This course deals with the organization, analysis, interpretation and presentation of data. It gives an overview of basic statistic techniques, which will be practised in course. The focus in terms of software is on SPSS, however, other programs will be mentioned. The course shall lead to a better understanding which methods and visual displays should be used when (and why). The analyses can be applied and interpreted correctly.

Assessment and permitted materials

Requirements for the course: regular attendance + oral (discussions, answering questions in class) + short written homeworks + longer homeworks+practical final test. Material allowed: Homework (all, open book), final test (none).
If good scientific practice is violated in any assessment, you will fail to pass the course.

Minimum requirements and assessment criteria

It is necessary to have at least 51 points (out of 100) to pass the course: attendance and participation in class 10 points, longer home work (40 points, two-times 20), practical final test 50 points.
Attendance compulsory.

Examination topics

Short lectures will give an overview. There will software demonstrations. Examples will be discussed with the students and practiced in hands-on training. There will be small written homework to be completed within the following week. Results and questions will then be discussed in class. Moreover, there will be two extended tasks und a final test.

Reading list

Further material will be provided via handouts and the learning platform Moodle.

Association in the course directory

BAN 5

Last modified: Mo 02.12.2019 11:28