coursemapLoading course
Biology Teaching and Learning Centre · ANU College of Science and Medicine
This course equips biology students with skills in basic quantitative data analyses approaches used in Biology and Ecology, including statistics and computing programming in R. Such skills are important for experimental design and for analysing and interpreting quantitative datasets. Topics covered include elementary computer programming in R, probability and statistics, and introduction to statistical modelling. Examples will be given of quantitative problems arising in biological contexts and will be developed in computer workshops. Note: Graduate students attend joint classes with undergraduates but will be assessed separately
In class practical tests
Learning outcomes 1, 2, 3, 4
R programming assignments
Learning outcomes 1, 2, 3, 4
Online quizzes
Learning outcomes 1, 2, 3, 4
The expected workload will consist of approximately 130 hours throughout the semester including: - 60 hours of face-to face components, which may consist of two 1h lectures per week plus one 3h computer workshop, - Approximately 70 hours of self-directed study, which will include preparation for workshops and assessments.
Not required