× You are viewing an archive version of this unit.




Quantitative skills are fundamental to many areas of biology and ecology. With massive increases in the availability of ecological and other kinds of biological data, skill in developing models to describe and understand relationships in data and extrapolate beyond existing data, and an understanding of the nuances of particular kinds of data, is fundamental in modern biological research. This unit builds on the foundation provided in Quantitative Methods in Biology to familiarise students with more advanced model building techniques including generalised linear, mixed and additive models, regression trees, bootstrapping methods, and non-linear regression. The unit will also introduce time series analysis, Bayesian approaches to modelling data, and simulation models including explicitly spatial and individual-based models. It will equip students wanting to understand and/or pursue modern and relevant research in biology and ecology.

Summary 2021

Unit name Modelling Biological Data
Unit code KSM304
Credit points 12.5
Faculty/School College of Sciences and Engineering
Institute for Marine & Antarctic Studies
Discipline College Office - CSE|Ecology and Biodiversity

Simon Wotherspoon

Teaching staff

Prof M Hindell, Dr L Barmuta, Prof C Johnson

Level Advanced
Available as student elective? Yes
Breadth Unit? No



Please check that your computer meets the minimum System Requirements if you are attending via Distance/Off-Campus.

Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.

Special approval is required for enrolment into TNE Program units.

TNE Program units special approval requirements.

* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).

About Census Dates





Mutual Exclusions

You cannot enrol in this unit as well as the following:


Teaching Pattern

1 semester, 2 x 1 hr lectures and 4 hr practical weekly (13 weeks)


Minor assignment (10%), 2 x major assignment (20% each), 3 hr open-book exam (50%)

TimetableView the lecture timetable | View the full unit timetable




The University reserves the right to amend or remove courses and unit availabilities, as appropriate.