STA335 Generalised Linear Models (8)

This subject provides an introduction to generalised linear models by an overview of the unified approach dictated by the exponential form of the distribution. This overview is pursued into varied applications in diverse areas which appeared to be previously unconnected.

Subject Outlines
Current CSU students can view Subject Outlines for recent sessions. Please note that Subject Outlines and assessment tasks are updated each session.

No offerings have been identified for this subject in 2018.

Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

Subject Information

Grading System



One session


School of Information Studies

Assumed Knowledge

Learning Outcomes

Upon successful completion of this subject, students should:
  • Have a sound appreciation of the role of generalised linear models in the scheme of statistical methodology, as well as the scope of techniques that will have been made available by this new technique;
  • Have the ability to use a computer package to analyse data using the approach that is offered by the theory of generalised linear models.


This subject will cover the following topics:

Exponential Family of Distributions; GLIM computer package; Binary data; Log-Linear models and Poisson Regression; Gamma data.

Residential School

This subject contains a 2 day Optional Residential School.


Current Students

For any enquiries about subject selection or course structure please contact Student Central or or phone on 1800 275 278.

Prospective Students

For further information about Charles Sturt University, or this course offering, please contact info.csu on 1800 275 278 (free call within Australia) or enquire online.

The information contained in the 2018 CSU Handbook was accurate at the date of publication: August 2018. The University reserves the right to vary the information at any time without notice.