Universität Wien FIND

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300130 UE Collaborative research project (2016W)

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



max. 6 participants
Language: English


Classes (iCal) - next class is marked with N

Monday 09.01. 09:00 - 11:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 10.01. 09:00 - 11:00 Übungsraum 3 (Fakultätszentrum für Biodiversität) Rennweg 1.OG
Wednesday 11.01. 09:00 - 11:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Thursday 12.01. 09:00 - 11:00 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG


Aims, contents and method of the course

Strengthen your skills in establishing and managing a scientific collaboration, from lab work to manuscript writing. The advancement of science has brought increasing specialization and as a consequence, the need for collaboration in order to carry out broader projects. Collaborating requires skills and mindsets that are not usually taught. This course aims at filing this gap. In this course, you will study flower evolution by making use of the toolkit of structural botany. Classical tool will be available to you (scanning electron microscope, and microtome serial sectioning), but High Resolution X-Ray Computed Tomography (HRXCT) will be the method central to this course. HRXCT allows the acquisition of 3D datasets, and allows the study of the evolution of flower shape via advanced 3D rendering software. You will be provided introduction to the methods, and questions of the project, presented with the tasks to accomplish and you will chose how to divide them among attendees. The final aim of the course is to submit a paper to an ISI journal.

Assessment and permitted materials

Preparation of a scientific manuscript.

Minimum requirements and assessment criteria

Students are able to independently conduct a research project. This includes the search for relevant literature, formulation of testable hypotheses, the structuring of experimental or laboratory procedures, data gathering, and data analysis, as well as presentation and discussion of the results.

Examination topics

Presentation of methods, data, and discussion of data in a scientific manuscript.

Reading list

Association in the course directory


Last modified: Mo 07.09.2020 15:43