Courses & Units
Experimental Design and Analysis for Agri-Food Research KLA310
Hobart
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 |
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Unit code | KLA310 |
Credit points | 12.5 |
College/School | College of Sciences and Engineering Tasmanian Institute of Agriculture |
Discipline | Agriculture and Food Systems |
Coordinator | Associate Professor Alistair Gracie |
Available as an elective? | |
Delivered By | Delivered wholly by the provider |
Level | Advanced |
Availability
Location | Study period | Attendance options | Available to | ||
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Hobart | Semester 1 | On-Campus | International | Domestic |
Key
- On-campus
- Off-Campus
- International students
- Domestic students
Key Dates
Study Period | Start date | Census date | WW date | End date |
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Semester 1 | 22/2/2021 | 23/3/2021 | 12/4/2021 | 30/5/2021 |
* 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 2021 are indicative and subject to change. Finalised census dates for 2021 will be available from the 1st October 2020. Note census date cutoff is 11.59pm AEST (AEDT during October to March).
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.
Fee Information
Field of Education | Commencing Student Contribution 1,3 | Grandfathered Student Contribution 1,3 | Approved Pathway Course Student Contribution 2,3 | Domestic Full Fee 4 |
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050101 | $493.00 | $493.00 | not applicable | $2,783.00 |
- Available as a Commonwealth Supported Place
- HECS-HELP is available on this unit, depending on your eligibility3
- FEE-HELP is available on this unit, depending on your eligibility4
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 |
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Assessment | Data analysis 1 (5%)|Data analysis 2 (5%)|Examination (40%)|Data analysis 3 (5%)|Prac test (15%)|Prac exam (30%) |
Timetable | View 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. |
Links | Booktopia textbook finder |
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The University reserves the right to amend or remove courses and unit availabilities, as appropriate.