Available in 2022
Course code



10 units


3000 level

Course handbook


Experimental design and data analysis in ecological and environmental studies is important for carrying out research projects and writing scientific papers and reports. Leading on from the 1st year statistics and 2nd year ecological courses, this course examines the current best practice techniques in experimental ecology. Topics covered, include the design and implementation of experiments, detection of environmental impacts, and statistical analysis of data from ecological and environmental studies.Students will have the opportunity to apply these skills in the field and laboratory.



  • Semester 1 - 2022


  • Semester 1 - 2022

Learning outcomes

On successful completion of the course students will be able to:

1. Design and implement experiments and statistical analysis of data from ecological and environmental studies;

2. Apply skills and techniques in experimental design and analysis in field and in the laboratory using real ecological settings;

3. Demonstrate advanced writing skills, suitable for the presentation of scientific results in a variety of professional settings;

4. Critically evaluate experimental designs and analyses from scientific literature and consultancy reports.


  1. Philosophical and logical framework of ecological studies
  2. Population parameters and frequency distributions
  3. Sampling techniques
  4. Analysis of spatial patterns and distribution of organisms
  5. Analyses of associations between organisms
  6. Experimental designs in ecology
  7. Detection of ecological impacts
  8. Multivariate approaches in ecology

Assumed knowledge

STAT1020 Statistical Reasoning and Literacy or STAT1070 Statistics for the Sciences;

ENVS2004 Ecology.

Assessment items

Formal Examination: Formal Examination

Quiz: Class quiz

Report: Laboratory reports

Compulsory Requirements

In order to pass this course, each student must complete ALL of the following compulsory requirements:

General Course Requirements:

  • Workshop: There is a compulsory attendance requirement in this course. - Students must attend at least 80% of the workshops and computer laboratories to pass the course. Students must attend all field trips to pass the course.
  • Workshop: 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.

Contact hours

Callaghan and Ourimbah

Computer Lab

Face to Face On Campus 3 hour(s) per Week for 3 Weeks

Field Study

Face to Face Off Campus 3 hour(s) per Week for 3 Weeks

Integrated Learning Session

Online 2 hour(s) per Week for 5 Weeks starting in week 2


Face to Face On Campus 3 hour(s) per Week for 5 Weeks starting in week 1

The University of Newcastle acknowledges the traditional custodians of the lands within our footprint areas: Awabakal, Darkinjung, Biripai, Worimi, Wonnarua, and Eora Nations. We also pay respect to the wisdom of our Elders past and present.