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300392 VO Computational Forensics (2016S)
Labels
Details
Language: English
Examination dates
Lecturers
Classes (iCal) - next class is marked with N
Monday
07.03.
10:00 - 12:00
Seminarraum S1 Vienna Micro-CT Lab, Althanstraße 12-14
Wednesday
09.03.
10:00 - 12:00
Seminarraum S1 Vienna Micro-CT Lab, Althanstraße 12-14
Thursday
10.03.
10:00 - 12:00
Seminarraum S1 Vienna Micro-CT Lab, Althanstraße 12-14
Monday
14.03.
10:00 - 12:00
Seminarraum S1 Vienna Micro-CT Lab, Althanstraße 12-14
Tuesday
15.03.
10:00 - 12:00
Seminarraum S1 Vienna Micro-CT Lab, Althanstraße 12-14
Wednesday
16.03.
10:00 - 12:00
Seminarraum S1 Vienna Micro-CT Lab, Althanstraße 12-14
Wednesday
11.05.
10:00 - 12:00
Seminarraum S1 Vienna Micro-CT Lab, Althanstraße 12-14
Thursday
12.05.
10:00 - 12:00
Seminarraum S1 Vienna Micro-CT Lab, Althanstraße 12-14
Friday
13.05.
10:00 - 12:00
Seminarraum S1 Vienna Micro-CT Lab, Althanstraße 12-14
Monday
23.05.
10:00 - 12:00
Seminarraum S1 Vienna Micro-CT Lab, Althanstraße 12-14
Wednesday
25.05.
10:00 - 12:00
Seminarraum S1 Vienna Micro-CT Lab, Althanstraße 12-14
Friday
27.05.
10:00 - 12:00
Seminarraum S1 Vienna Micro-CT Lab, Althanstraße 12-14
Information
Aims, contents and method of the course
This course will cover the theoretical foundations of modern biological shape analysis. Data types, processing, and analytical methods will be presented and discussed including methods for landmark coordinates, outlines, and special methods for problems in allometric growth and asymmetry analysis.
Assessment and permitted materials
Course assessment will be based on the written report of results of a study project emulating a presentation an article for submission to a peer-reviewed publication.
Minimum requirements and assessment criteria
Student should be able to identify and formulate shape-related biological problems and understand and carry out appropriate analytical methods to efficiently address the underlying question.
Examination topics
Reading list
Association in the course directory
MEV W-4, MAN W5, MAN 3, UF MA BU 01, UF MA BU 04
Last modified: Mo 07.09.2020 15:43