Analysis of Organismal Form
An introduction to morphometrics, delivered as a Web-based course
7 November – 16 December 2016
Instructor: Chris Klingenberg
Morphometrics is a rapidly growing field. Quantitative analyses of the size and shape of organisms or their parts are more and more widely used in biological and medical research. Applications of morphometrics address diverse questions in many areas such as evolutionary and developmental biology, ecology, palaeontology, and systematics. Morphometric studies have been conducted in animals, including humans, plants and protists.
This course provides an introduction to geometric morphometrics and its applications. It is delivered via the Web to make it accessible to participants from around the world.
The course is equivalent to 18 lectures, some exercises for practicing the techniques on actual data, and discussion among participants via the course bulletin board. The practical component is an integral component of the course. There will be examples of data analyses -- the course will provide the data sets used and directions on how to perform the analyses using the MorphoJ software (participants can use other software if they prefer).
For more detailed information on the course content, click here.
The deadline for pre-registration for this year's course is 21 October 2016. To sign up for the course, please click here to use the registration form at the university's e-store. This will enable you to sign up for the course and pay the fee with a debit or credit card.
If you need to pay in a different way (e.g. to obtain a reimbursement from your institution), you should contact the Short Course Office at email@example.com. If you need an invoice, please arrange for your sponsoring company to raise a purchase order for the full course fees. The purchase order should state your full name and should be sent to: firstname.lastname@example.org. If you need to use this option, please do this as soon as possible, preferably well before October.
This year's course will start on 7 November 2016.