Courses & Units

Experimental Design and Analysis for Agri-Food Research KLA310

Introduction

This unit enables students to plan and complete scientific investigations essential to agricultural research. The unit follows a logical progression from understanding the importance of the principles of the scientific method and crafting a well-defined research hypothesis that can be tested using well-designed experiments relevant to agricultural settings and then making sound judgement in the selection of quantitative statistical analyses. Students perform statistical analyses using contemporary statistical software packages and are taught the how to interpret the output and effectively present summarised experimental data sets to a wide range of end users, such as agricultural research and development providers, industry and growers.

Summary

Unit name Experimental Design and Analysis for Agri-Food Research
Unit code KLA310
Credit points 12.5
College/School College of Sciences and Engineering
Tasmanian Institute of Agriculture
Discipline Agriculture and Food Systems
Coordinator Doctor Ian Hunt
Available as an elective? Yes
Delivered By University of Tasmania
Level Advanced

Availability

Location Study period Attendance options Available to
Hobart Semester 1 On-Campus International Domestic

Key

On-campus
Off-Campus
International students
Domestic students
Note

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Key Dates

Study Period Start date Census date WW date End date
Semester 1 20/2/2023 21/3/2023 10/4/2023 28/5/2023

* 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 (refer to How do I withdraw from a unit? for more information).

Unit census dates currently displaying for 2023 are indicative and subject to change. Finalised census dates for 2023 will be available from the 1st October 2022. Note census date cutoff is 11.59pm AEST (AEDT during October to March).

About Census Dates

Learning Outcomes

  • understand the principles of scientific method and formulate a well-defined research hypothesis
  • design experiments relevant to agricultural settings
  • make sound judgement in the selection of quantitative scientific methods, apply appropriate statistical analyses, interpret the output and present experimental data sets
  • use statistical software packages (e.g. spss) to analyse data sets
  • effectively present summarised experimental data sets.
Field of Education Commencing Student Contribution 1 Grandfathered Student Contribution 1 Approved Pathway Course Student Contribution 2 Domestic Full Fee
050101 $493.00 $493.00 not applicable $2,783.00

1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.

If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.

Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.

Teaching

Teaching Pattern

2 x 50 min lectures per week; 1 x 3 hr practical per week

AssessmentData analysis 1 (5%)|Data analysis 2 (5%)|Prac test (15%)|Data analysis 3 (5%)|Prac exam (30%)|Examination (40%)
TimetableView the lecture timetable | View the full unit timetable

Textbooks

Required

Required readings will be listed in the unit outline prior to the start of classes.

LinksBooktopia textbook finder

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