EEB 5083, spring semester 110-2
The course focused on the analysis of community ecology data in R, organized by Institute of Ecology and Evolutionary Biology, College of Life Science, National Taiwan University
When: every Thursday 9:10-12:10 (classes will be recorded and recording made available to enrolled students and auditors)
Where: 3A Life Science building (生科3A), National Taiwan University
TA: Ching-Lin Huang (Andy) 黃敬麟, email@example.com
Language of the course: English
Course content: analysis of community ecology data, including ordination and cluster analysis, diversity analysis and analysis of species attributes. We will use real community ecology data (mostly vegetation and zoological datasets) and practice the analysis using the R program.
Link to NTU COOL (NTU study system):https://cool.ntu.edu.tw/courses/13065 (note that we do not use CEIBA anymore)
Target audience: senior undergraduate and graduate ecology students focused on botany and zoology, who are planning to do a study at the community level (i.e. not on a single species, but on the multiple species occurring at multiple localities). The class may be useful also for other disciplines handling multivariate data (e.g. microbiology), but the main focus is on ecological data. If you study PhD and want to join, you are welcome, but expect that some of the teaching materials will cover rather basic things.
Teaching strategy: The class includes an introduction to the theory, application of methods using the R program, solving individual exercises during the class, homework assignments, test of knowledge (analogy of midterm and final test) and preparation of individual projects and their presentation (in English).
Disclaimer: this is rather an intensive course, focused on a theory of community data analysis, and practical exercise using R on real community ecology datasets. In addition to lectures taught in the classroom, you need to also complete homework assignments, midterm quiz, final test and prepare (and present in English) the final project focused on the analysis of community data. This is not an R course for advanced use of the R program - I expect that you have a basic knowledge of R before you enter the class, but the main focus is on learning the theory behind the methods and their use, not advanced R programming. If you want to learn the basics of R, consider taking the other class I teach Introduction to R for Ecologists (regular 3 credit class taught every winter semester).