Key facts

UNE unit code: ECOL204

*You are viewing the 2024 version of this unit which may be subject to change in future.

Start
  • Trimester 1 - On Campus
  • Trimester 1 - Online
Campus
  • Armidale Campus
24/7 online support
  • Yes
Intensive schools
  • Yes
Supervised exam
  • Yes
Credit points
  • 6

Unit information

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Your ability to collect and analyse biological data efficiently and correctly is a core skill in ecology. The correct methods depend on the research question, available resources (e.g. equipment, time and money) and the logistic constraints of survey/experimental design.

This unit introduces you to data collection methods that are valuable in many scientific disciplines. You will learn sampling methods and survey designs for assessing changes along ecological gradients, linking these with modern techniques for data analysis and presentation.

Topics include the fundamental requirements of survey and experimental designs (e.g. randomisation, replication), types of ecological data, commonly used methods to sample plants and animals, and technical skills for field surveys.

You will also learn to analyse and present ecological data, focusing on correct interpretation of results, and strengths and limitations of various sampling and analytical methods.

Offerings

For further information about UNE's teaching periods, please go to Principal Dates.

Teaching period
Mode/location
Trimester 1On Campus, Armidale Campus
Trimester 1Online

*Offering is subject to availability

Intensive schools

StartFinishDurationAttendanceOfferingsNotes
09 April 202412 April 20244 daysMandatory Intensive SchoolAll offeringsThe Intensive School is mandatory for online and on campus students.

Enrolment rules

Pre-requisites
BIOL110 and BIOL120 and (STAT100 or QMER100) or candidature in a postgraduate award
Co-requisites
ECOL203 or ECOL210
Restrictions
ECOL404 or EM331 or EM531

Notes

The School of Environmental and Rural Science considers all practical/laboratory/tutorial activities as essential to student learning. Attendance and participation in all practical/laboratory/tutorial classes (sessions) is mandatory - exemptions will not be granted without supporting evidence

Please refer to the student handbook for current details on this unit.

Unit coordinator(s)

Eric Nordberg

Learning outcomes

Upon completion of this unit, students will be able to:

  1. design a survey or ecological experiment with adequate replication and randomisation, and identify potential flaws in design, sampling methods and analysis;
  2. survey environmental variables, plants and animals in a standard, rigorous way using conventional methods in the field;
  3. apply these methods to assessing changes along ecological gradients (e.g., altitude, latitude, human disturbance);
  4. use graphical packages and computing software in the environmental sciences with confidence; and
  5. plot, analyse and interpret data from ecological surveys and experiments using conventional graphical and statistical techniques.

Assessment information

Assessments are subject to change up to 8 weeks prior to the start of the teaching period in which you are undertaking the unit.

TitleMust CompleteWeightOfferingsAssessment Notes
Assignment 1Yes20%All offerings

No. Words: 1500

Assignment 2Yes30%All offerings

No. Words: 2000

Final ExamYes30%All offerings

No. Words: 2200

Mid-Trimester QuizYes20%All offerings 
PracticalYes All offerings

The School of Environmental and Rural Science considers all practical/laboratory/tutorial activities as essential to student learning. Attendance and participation in all practical/laboratory/tutorial classes (sessions) is mandatory - exemptions will not be granted without supporting evidence

Learning resources

Textbooks are subject to change up to 8 weeks prior to the start of the teaching period in which you are undertaking the unit.

Note: Recommended material is held in the University Library — purchase is optional.

The Analysis of Biological Data

ISBN: 9781319325343

Whitlock, M.C.and Schluter, D., Macmillan Learning UK 3rd ed. 2020

Text refers to: All offerings

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