Teaches experimental design and statistical methodology that is essential for Ecological and Environmental studies. Leading on from the 2nd year Biometrics, Applied Biometrics and Marine Ecological courses, this course takes the student through the current best practice techniques in Experimental Marine Ecology. Topics covered, such as the design and implementation of experiments, detection of environmental impacts, and statistical analysis of data from marine ecological experimentation, will allow the student to apply the necessary skills in the field and laboratory.
- Semester 1 - 2016
- Semester 1 - 2017
On successful completion of the course students will be able to:
1. Design and implement experiments and statistical analysis of data from Marine Ecological experimentation at an advanced level.
2. Apply these necessary advanced skills and techniques in experimental design and analysis in field and in the laboratory using real Marine Ecological settings.
- Philosophical and logical framework of ecological studies
- Population parameters and frequency distributions
- Sampling techniques
- Analysis of spatial pattern and distribution of organisms
- Analyses of associations between organisms
- Experimental Designs in Ecology
- Detection of ecological impacts
- Multivariate approaches in ecology
STAT1070 Statistics for the Sciences STAT2000 Applied Statistics and Research Methods ENVS2004 Ecology
Formal Examination: Formal Examination
Quiz: Class quiz
Report: Laboratory reports
In order to pass this course, each student must complete ALL of the following compulsory requirements:
General Course Requirements:
- Laboratory: Induction Requirement - Students must attend and pass the induction requirements before attending these sessions. - In order to participate in this course students must complete a compulsory safety induction.
Face to Face On Campus 3 hour(s) per Week for 8 Weeks
Face to Face Off Campus 3 hour(s) per Week for 3 Weeks
Face to Face On Campus 3 hour(s) per Week for 4 Weeks
Face to Face On Campus 2 hour(s) per Week for Full Term