Time Schedule:
Jonathan Bakker
CFR 502
Seattle Campus
Design of scientific experiments, collection of data, and use of computers to store, analyze and present data. Limited by equipment availability to 8 students; Urban Horticulture students have priority. Offered: Sp.
Class description
This course focuses on current analytical techniques. Students will move beyond conventional statistics to specialized techniques that are applicable to ecological data, especially at the community level. Topics will include matrix algebra, distance measures, permutational MANOVA, indicator species analysis, and ordinations (DCA, CCA, NMS).
Student learning goals
General method of instruction
This course will involve a combination of lectures, demonstrations, and computer exercises. We will use R software for much of the course. Students should bring a thumb drive with at least 512 MB of free space to class to hold software and data files. Forestry and Biology students are welcome, along with students from other disciplines. Fisheries students are welcome but may prefer FISH 560.
Recommended preparation
A background in conventional statistics will serve as a springboard into these techniques. Therefore, QSCI 482 is a pre- or co-requisite.
Class assignments and grading
Most assignments will be computer-based. I will provide datasets for students to work on if they choose, though I strongly encourage students to analyze their own data where possible and appropriate.
Grading will be based on assignments and a detailed project. See course webpage for more details.
