300140 UE Community phylogeny of animals (2019S)
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 Fr 08.02.2019 08:00 to Th 21.02.2019 18:00
- Deregistration possible until Su 31.03.2019 18:00
Details
max. 12 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Initial meeting March 5th 2019 11-11:45 am Lecture Hall, Faculty Center for Biodiversity (Rennweg 14)
Course: March 18 to March 29 daily 1 to 5 pm Übungsraum 1, Faculty Center for Biodiversity (Rennweg 14)- Tuesday 05.03. 11:00 - 11:45 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
- Monday 18.03. 13:00 - 17:00 Übungsraum 1 (Fakultätszentrum für Biodiversität) Rennweg 1.OG
- Tuesday 19.03. 13:00 - 17:00 Übungsraum 1 (Fakultätszentrum für Biodiversität) Rennweg 1.OG
- Wednesday 20.03. 13:00 - 17:00 Übungsraum 1 (Fakultätszentrum für Biodiversität) Rennweg 1.OG
- Thursday 21.03. 13:00 - 17:00 Übungsraum 1 (Fakultätszentrum für Biodiversität) Rennweg 1.OG
- Friday 22.03. 13:00 - 17:00 Übungsraum 1 (Fakultätszentrum für Biodiversität) Rennweg 1.OG
- Monday 25.03. 13:00 - 17:00 Übungsraum 1 (Fakultätszentrum für Biodiversität) Rennweg 1.OG
- Tuesday 26.03. 13:00 - 17:00 Übungsraum 1 (Fakultätszentrum für Biodiversität) Rennweg 1.OG
- Wednesday 27.03. 13:00 - 17:00 Übungsraum 1 (Fakultätszentrum für Biodiversität) Rennweg 1.OG
- Thursday 28.03. 13:00 - 17:00 Übungsraum 1 (Fakultätszentrum für Biodiversität) Rennweg 1.OG
- Friday 29.03. 13:00 - 17:00 Übungsraum 1 (Fakultätszentrum für Biodiversität) Rennweg 1.OG
Information
Aims, contents and method of the course
Assessment and permitted materials
Students will work in teams of two, with each group working on a dataset provided by the instructors.Students are expected to actively participate in the course, show initiative in problem solving and search for literature relevant to their topic.Students are expected to show their ability to discern relevant aspects of the results obtained in the course and condense those into a written report where the results are presented and interpreted in relation to the published literature. The report is to be written in English; length approximately 4000 to 6000 words. Further instructions will be provided on the first course day.
Minimum requirements and assessment criteria
The following criteria apply in order to receive a passing grade:1. Active participation
2. Submission of a written report; initial draft no later than May 31st 2019; final version no later than June 30th 2019
3. Attendance is mandatory on all days including the initial meeting on March 5th. A maximum of two days of absence is permitted.Contribution to final grade:
30% Active participation
70% Written report
2. Submission of a written report; initial draft no later than May 31st 2019; final version no later than June 30th 2019
3. Attendance is mandatory on all days including the initial meeting on March 5th. A maximum of two days of absence is permitted.Contribution to final grade:
30% Active participation
70% Written report
Examination topics
Reading list
Tucker et al. 2017. A guide to phylogenetic metrics for conservation, community ecology and macroecology. Biological Reviews. 92: 698-715. https://doi.org/10.1111/brv.12252
Association in the course directory
MEC-9, MZO W-2, MZO W-7, M-WZB
Last modified: Mo 07.09.2020 15:43
2. Strategies and methods for data acquisition from online databases will be discussed and applied
3. Students will be introduced to methods of phylogenetic reconstruction
4. Commonly used measures of phylogenetic diversity will be discussed in theory and applied in practice
5. Results will be discussed and their interpretation and limitations explored.Students are asked to bring their own computer to the course, there is limited capacity to accommodate students unable to do so. Please approach the instructors at the initial meeting if you are unable to bring your own computer. Systems running Windows, MacOS and Linux are equally suitable for this course.