Universität Wien

300322 VU Biological Data: introduction to statistics and SPSS (2019W)

9.00 ECTS (6.00 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. 28 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

There is a theoretical part (Schaman) and a practical part (Windhager) of the course. Both will be taught weekly. The practical one will take place on Monday afternoons, the theoretical one on Thursday mornings. The PREPARATORY meeting and first part of the course will take place on OCTOBER 7, 4 p.m. at the Computer Room Ecology (Z1.023). Those who do not attend, will be deregistered so that students from the waiting list succeed. Equivalent to 300015 UE Applied Statistics for Anthropologists.

  • Monday 07.10. 16:00 - 18:30 EDV-Raum 2 Ökologie
  • Thursday 10.10. 08:00 - 10:00 UZA2 Hörsaal 4 (Raum 2Z221) 2.OG
  • Monday 14.10. 16:00 - 18:30 EDV-Raum 2 Ökologie
  • Thursday 17.10. 08:00 - 10:00 UZA2 Hörsaal 4 (Raum 2Z221) 2.OG
  • Monday 21.10. 16:00 - 18:30 EDV-Raum 2 Ökologie
  • Thursday 24.10. 08:00 - 09:30 UZA2 Hörsaal 4 (Raum 2Z221) 2.OG
  • Monday 28.10. 16:00 - 18:30 EDV-Raum 2 Ökologie
  • Thursday 31.10. 08:00 - 10:00 UZA2 Hörsaal 4 (Raum 2Z221) 2.OG
  • Monday 04.11. 16:00 - 18:30 EDV-Raum 2 Ökologie
  • Thursday 07.11. 08:00 - 10:00 UZA2 Hörsaal 4 (Raum 2Z221) 2.OG
  • Monday 11.11. 16:00 - 18:30 EDV-Raum 2 Ökologie
  • Thursday 14.11. 08:00 - 10:00 UZA2 Hörsaal 4 (Raum 2Z221) 2.OG
  • Monday 18.11. 16:00 - 18:30 EDV-Raum 2 Ökologie
  • Thursday 21.11. 08:00 - 10:00 UZA2 Hörsaal 4 (Raum 2Z221) 2.OG
  • Monday 25.11. 16:00 - 18:30 EDV-Raum 2 Ökologie
  • Thursday 28.11. 08:00 - 10:00 UZA2 Hörsaal 4 (Raum 2Z221) 2.OG
  • Monday 02.12. 16:00 - 18:30 EDV-Raum 2 Ökologie
  • Thursday 05.12. 08:00 - 10:00 UZA2 Hörsaal 4 (Raum 2Z221) 2.OG
  • Monday 09.12. 16:00 - 18:30 EDV-Raum 2 Ökologie
  • Thursday 12.12. 08:00 - 10:00 UZA2 Hörsaal 4 (Raum 2Z221) 2.OG
  • Monday 16.12. 16:00 - 18:30 EDV-Raum 2 Ökologie
  • Thursday 09.01. 08:00 - 10:00 UZA2 Hörsaal 4 (Raum 2Z221) 2.OG
  • Monday 13.01. 16:00 - 18:30 EDV-Raum 2 Ökologie
  • Thursday 16.01. 08:00 - 10:00 UZA2 Hörsaal 4 (Raum 2Z221) 2.OG
  • Monday 20.01. 13:30 - 16:00 EDV-Raum 2 Ökologie
  • Monday 20.01. 16:00 - 18:30 EDV-Raum 2 Ökologie
  • Thursday 23.01. 08:00 - 10:00 UZA2 Hörsaal 4 (Raum 2Z221) 2.OG
  • Monday 27.01. 16:00 - 18:30 EDV-Raum 2 Ökologie
  • Thursday 30.01. 08:00 - 10:00 UZA2 Hörsaal 4 (Raum 2Z221) 2.OG

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)
If good scientific practice is violated in any assessment, you will fail to pass the course.

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

Materials will be provided via the elearning platform Moodle.

Association in the course directory

BAN 5

Last modified: Sa 22.10.2022 00:30