Universität Wien

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
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. 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
  • Friday 04.10. 15:30 - 17:00 EDV-Raum 2 Ökologie
    EDV-Raum/Selbststudium
  • Friday 11.10. 14:00 - 15:30 Seminarraum
  • Friday 11.10. 15:30 - 17:00 EDV-Raum 2 Ökologie
    EDV-Raum/Selbststudium
  • Friday 18.10. 14:00 - 15:30 Seminarraum
  • Friday 18.10. 15:30 - 17:00 EDV-Raum 2 Ökologie
    EDV-Raum/Selbststudium
  • Friday 25.10. 14:00 - 15:30 Seminarraum
  • Friday 25.10. 15:30 - 17:00 EDV-Raum 2 Ökologie
    EDV-Raum/Selbststudium
  • Friday 08.11. 14:00 - 15:30 Seminarraum
  • Friday 08.11. 15:30 - 17:00 EDV-Raum 2 Ökologie
    EDV-Raum/Selbststudium
  • Friday 15.11. 14:00 - 15:30 Seminarraum
  • Friday 15.11. 15:30 - 17:00 EDV-Raum 2 Ökologie
    EDV-Raum/Selbststudium
  • Friday 22.11. 14:00 - 15:30 Seminarraum
  • Friday 22.11. 15:30 - 17:00 EDV-Raum 2 Ökologie
    EDV-Raum/Selbststudium
  • Friday 29.11. 14:00 - 15:30 Seminarraum
  • Friday 29.11. 15:30 - 17:00 EDV-Raum 2 Ökologie
    EDV-Raum/Selbststudium
  • Friday 06.12. 14:00 - 15:30 Seminarraum
  • Friday 06.12. 15:30 - 17:00 EDV-Raum 2 Ökologie
    EDV-Raum/Selbststudium
  • Friday 13.12. 14:15 - 15:45 Hörsaal 1, UZA 1, Biozentrum Althanstraße 14, 1.008A EG
  • Friday 10.01. 14:00 - 15:30 Seminarraum
  • Friday 10.01. 15:30 - 17:00 EDV-Raum 2 Ökologie
    EDV-Raum/Selbststudium
  • Friday 17.01. 14:00 - 15:30 Seminarraum
  • Friday 17.01. 15:30 - 17:00 EDV-Raum 2 Ökologie
    EDV-Raum/Selbststudium
  • Friday 24.01. 14:00 - 15:30 Seminarraum
  • Friday 24.01. 15:30 - 17:00 EDV-Raum 2 Ökologie
    EDV-Raum/Selbststudium
  • Friday 31.01. 14:00 - 15:30 Seminarraum
  • Friday 31.01. 15:30 - 17:00 EDV-Raum 2 Ökologie
    EDV-Raum/Selbststudium

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: Th 23.02.2023 00:25