Online Course – 16th Edition
June 1st-7th, 2022
REGISTRATION IS CLOSED
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Online live (synchronous) sessions from 16:00 to 21:00 (Madrid time zone).
Live sessions will be recorded. Recordings will be made available to participants for a limited period of time. However, attendance to the live sessions is required.
Course OverviewThis course is entitled to teach the main concepts of shape analysis based on three- dimensional landmark coordinates. In this course, you will learn to manipulate 3D models and use them to collect landmark data, take measurements, and to quantify and visualize the main differences in shape.
Graduate or postgraduate degree in Biomedical, Life or Earth Sciences, basic knowledge of statistics. Basic knowledge of Geometric Morphometric is recommended.
A computer (Windows) preferably with a webcam, and a good internet connection.
June 1st-7th, 2022
35 hours
25 hours of online live lessons, plus 10 hours of participants working on their own.
Live sessions will be recorded. However, attendance to the live sessions is required.
This course is equivalent to 1 ECTS (European Credit Transfer System) at the Life Science Zurich Graduate School. The recognition of ECTS by other institutions depends on each university or school.
English
Places are limited to 16 participants and will be occupied by strict registration order.
Participants who have completed the course will receive a certificate at the end.
Dr. Soledad De Esteban-Trivigno
Transmitting Science
Spain
Dr. Haris Saslis
Transmitting Science
Greece
Contact: courses@transmittingscience.com
Click here to see the full Program
Brief Review of Fundamentals of
Morphometrics.
– How to choose landmarks.
– Generalized Procrustes Analysis.
– Other types of alignment.
– Thin plate spline warping.
Processing Microscribe data.
– Using DVLR to merge two views.
– Using resample to resample a line.
Using Landmark Editor to collect data on
surfaces.
– Sliding semi-landmarks (using R
geomorph package).
How to do a precision test on 3D data.
Data exploration: PCA analyses.
– Using MorphoJ.
– Between-group PCAs.
– PCAs in Procrustes form space.
Visualizing shape change.
– Using MorphoJ in conjunction with Landmark Editor.
Landmark Editor.
– Making calculations and visualizing shape
changes in PCA morphospace.
– Calculating PCA scores post hoc.
Data exploration: Regressions.
– Visualizing change that is associated with
size (MorphoJ).
Data exploration: PLS analyses.
– Using MorphoJ to mean center (or not).
– Visualizing shape change in Landmark
editor.
Data interpretations: Using mean
configurations (PAST) and Procrustes
distances.
– Minimum spanning trees.
– Variability within a sample (comparing fossil)
Programs that we will use:
– DVLR (free).
– Landmark Editor (free).
– MorphoJ (free).
– PAST (free).
– R (free, only for sliding semilandmarks, no
previous knowledge is required).
– Microsoft Excel.
You can check the list of Ambassador Institutions. If you want your institution to become a Transmitting Science Ambassador please contact us at communication@transmittingscience.com
Discounts are not cumulative and apply only on the Course Fee. We offer the possibility of paying in two instalments (contact courses@transmittingscience.com).
5 % Discount
Former participants will have a 5 % discount on the Course Fee.
20 % Discount
20 % discount on the Course Fee is offered for members of some organizations (Ambassador Institutions). If you want to apply to this discount please indicate it in the Registration form (proof will be asked later).
40 % Discount
Unemployed scientists living in Spain may benefit from a 40 % discount on the Course Fee. If you would like to enquire about this discount, please contact the course coordinator. That would apply for a maximum of 2 places and they will be covered by strict registration order.
Transmitting Science started in 2012 to manage specialized courses and workshops we were already organizing within our own partnerships. Up to date, we have already run more than 120 advanced courses in different topics related to Life Sciences.
All the courses are self-financed with participant’s fees and we strive to keep the fees to the minimum necessary for running them.
Our courses cover a wide range of research methods and are aimed at postgraduate students, postdoctoral researchers and established academics from all over the world.
