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Introduction to the Agrifood Research Methods Unit

The Agrifood Research Methods unit, coded as KLA201, is designed to equip students with the essential skills to undertake scientific investigations in agricultural and food research. This unit follows a logical progression, starting from understanding the key principles of scientific methodology to crafting a well-defined research hypothesis. Students then explore these hypotheses using experiments relevant to agriculture and select quantitative statistical analyses. The unit also covers performing statistical analyses using contemporary software packages, interpreting outputs, and effectively presenting summarized experimental data to various end-users, including agricultural and food researchers, industry, and growers.

Unit Details

• Unit Name: Agrifood Research Methods
• Unit Code: KLA201
• Credit Points: 12.5
• College/School: Sciences and Engineering
• Discipline: Agriculture and Food Systems
• Coordinator: Doctor Ryan Warren
• Availability as an Elective: Yes
• Delivered By: University of Tasmania
• Level: Intermediate

Availability

The unit is available in two locations:

• Hobart: Semester 1
• Launceston: Semester 1

Key Dates

• Study Period: Semester 1
• Start Date: 23/2/2026
• Census Date: 17/3/2026
• WW Date: 20/4/2026
• End Date: 14/6/2026

Learning Outcomes

Upon completing this unit, students will be able to:

• Analyse data from agri-food studies using statistical software packages
• Summarise experimental outcomes relevant to the agri-food sector
• Select quantitative statistical analyses used in agriculture and food sciences
• Design experiments that address research questions in agri-food production and supply

Fee Information

• Field of Education:
• Commencing Student Contribution: $592.00
• Grandfathered Student Contribution: $592.00
• Approved Pathway Course Student Contribution: Not applicable
• Domestic Full Fee: $3,382.00

Teaching Pattern

• Teaching Pattern: Two hours of in-person tutorials per week and two hours of in-person practicals per week.
• Assessment:
  • Data Analysis, Interpretation & Presentation assignments (15%)
  • Practical test (15%)
  • Practical Exam (30%)
  • Theory Exam (40%)

Textbooks

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

Note

The University reserves the right to amend or remove courses and unit availabilities as appropriate.