This course introduces you to the basic principles of experimental design and analysis of ecological experiments. It introduces you to methods and key concepts for designing and implementing experiments in both the field and laboratory. You will learn how to plan and execute an experiment, key concepts in designing experiments, and how to analyse and present your results. This course builds on the statistical and R skills you should have learned in BS1008, ES0002, and MH311, and you will learn how to apply these statistical methods to real-life ecological field and lab experiments. This course uses R, and assumes some introductory knowledge of statistics and the R language.
This course is a pre-requisite for ES4002 Final Year Project Ecology specialization students.
Prerequisite graph
Required first
BS1008BiostatisticsES2305Introductory Statistics & Numerical ThinkingMH3511Data Analysis with ComputerExperimental Design & Analysis for Ecology
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Available indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 1130 | 79020 TUT (T) 1130-1320 Thu LHN-TR+03 | ||||
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| 1300 | |||||
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| 1400 | |||||
| 1430 | COMMON LEC (LE) 1430-1620 Tue LHN-TR+37, LHN-TR+36 Wk13, Teaching Wk1-12 | ||||
| 1500 | |||||
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| 1600 |
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