Вернуться к Biological Diversity (Theories, Measures and Data sampling techniques)

4.3

Оценки: 67

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Рецензии: 18

The course presents an overview of the theory behind biological diversity evolution and dynamics and of methods for diversity calculation and estimation. We will become familiar with the major alpha, beta, and gamma diversity estimation techniques.
Understanding how biodiversity evolved and is evolving on Earth and how to correctly use and interpret biodiversity data is important for all students interested in conservation biology and ecology, whether they pursue careers in academia or as policy makers and other professionals (students graduating from our programs do both). Academics need to be able to use the theories and indices correctly, whereas policy makers must be able to understand and interpret the conclusions offered by the academics.
The course has the following expectations and results:
- covering the theoretical and practical issues involved in biodiversity theory,
- conducting surveys and inventories of biodiversity,
- analyzing the information gathered,
- and applying their analysis to ecological and conservation problems.
Needed Learner Background:
- basics of Ecology and Calculus
- good understanding of English...

автор: GC

•Oct 26, 2016

This is a great course, very thorough and comprehensive introduction to Biological Diversity.

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Рецензии: 17

автор: Marco Adda

•Dec 25, 2018

wonderful course, terrific instructor.

автор: Jeremiah Ho Sue Seng

•Nov 14, 2018

No pdf

автор: Anthony Ciocco

•Oct 24, 2018

Great course, the second half is all statistical equations, gives a good overview of seemingly every mathematical equation applicable to ecology. I'd rather learn a few equations in depth than a rushed overview of the entire realm of statistics... but it was useful and I appreciate having a much greater sense of the subject, and it will be a great reference for me in the future.

автор: Akhilesh Jayaram

•Feb 28, 2018

All the statistical techniques must be moved to quizzes and problem-solving. Data sets can be given from actual field or lab data to work on. The lectures can focus on the conceptual nuances and the biological implications/assumptions/caveats of the statistics. That would be more helpful.

автор: Anna Mardjanian

•Mar 24, 2017

this course is pretty thorough as far as data sampling goes. The professor is clearly very well versed in the statistical methods. This course is mainly about statistical methods used in the field of biodiversity, so at the end, you will have to use the formulas mentioned in lectures (without any worked examples), so if you are not comfortable with calculus, it's not for you. The transcripts are helpful but often incomprehensible.

автор: Борисов Евгений Владиславович

•Feb 05, 2017

Excellent course

автор: VINOTH KUMAR S

•Jan 26, 2017

A well organized course from basics of biodiversity to the field requirements; it has covered the necessary methodologies. It was very useful. Special Thanks to Dr. Roberto Cazzolla Gatti of NRTS University; who was the backbone of the course.

автор: Diego Balbuena

•Jan 20, 2017

Subs are not always understandable.

автор: RAJA SRINIVAS THOTA

•Jan 04, 2017

At this point of time, when the climate change has gained pace and we are in a different world with erratic and unpredictable climate, it has become essential for us to set right the ecological balance, which is possible only by better understanding of biological diversity.

автор: William Mills

•Jan 02, 2017

A very interesting and clearly presented course. I would recommend this course anyone who is interested in the study of biodiversity.

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