AGRI13006 - Data Management & Analysis for Agriculture

General Information

Unit Synopsis

This unit provides you with the skills and techniques to analyse and manage data, interpret results, and report data analysis methods and findings in an agricultural science environment. Qualitative and quantitative research approaches are examined to consider their contributions to knowledge development through empirical research. Computer software most suitable to agricultural science data management and analysis will be introduced, including GIS for specified data. The unit assessment includes research reports designed to develop and demonstrate your ability to apply knowledge and skills to analysing qualitative and quantitative data and reporting your research findings.

Details

Level Undergraduate
Unit Level 3
Credit Points 6
Student Contribution Band SCA Band 1
Fraction of Full-Time Student Load 0.125
Pre-requisites or Co-requisites

Prerequisite

SCIE11023 Science Communication

AND

AGRI11004 Research in Agriculture

AND one of the following

AGRI13004 Livestock Industry Placement

or

AGRI13005 Cropping Industry Placement

or

AGRI13003 Agricultural Service Industry Placement

Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework).

Class Timetable View Unit Timetable
Residential School No Residential School

Unit Availabilities from Term 2 - 2024

There are no availabilities for this unit on or after Term 2 - 2024

Attendance Requirements

All on-campus students are expected to attend scheduled classes - in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).

Assessment Overview

Recommended Student Time Commitment

Each 6-credit Undergraduate unit at CQUniversity requires an overall time commitment of an average of 12.5 hours of study per week, making a total of 150 hours for the unit.

Assessment Tasks

Assessment Task Weighting
1. Group Discussion 0%
2. Group Work 40%
3. Written Assessment 60%

This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of ‘pass’ in order to pass the unit. If any ‘pass/fail’ tasks are shown in the table above they must also be completed successfully (‘pass’ grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the ‘assessment task’ section (note that in some instances, the minimum mark for a task may be greater than 50%).

Consult the University's Grades and Results Policy for more details of interim results and final grades

Past Exams

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Previous Feedback

Term 1 - 2021 : The overall satisfaction for students in the last offering of this course was 4.7 (on a 5 point Likert scale), based on a 15% response rate.

Feedback, Recommendations and Responses

Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.

Source: Have Your Say (Student Moodle evaluation)
Feedback
GIS is very useful; would have liked to learn it sooner.
Recommendation
Students who find this subject interesting will be encouraged to enrol in an elective GIS unit in their second year of study.
Action Taken
All students who took the unit in 2021 were in their final year of study. Those interested in GIS could pursue external professional development opportunities.
Source: Have Your Say (Student Moodle evaluation)
Feedback
Guest speakers helped to illustrate the application of the unit.
Recommendation
Relevant and experienced professionals to be invited to deliver guest lectures and engage with the students.
Action Taken
Three guest speakers were invited to deliver lectures in selected topics during the term.
Source: Have Your Say (Student Moodle evaluation)
Feedback
The unit is very practical and the tutorials help in building confidence to analyse data. The unit is very well taught.
Recommendation
The same high level of teaching will be provided in future offerings.
Action Taken
Lectures and tutorials were delivered in an engaging and interesting manner through the term.
Source: Have Your Say (Student Moodle evaluation)
Feedback
The UC responded to student enquiries in a helpful and timely manner.
Recommendation
This is last offering of this unit.
Action Taken
In Progress
Unit learning Outcomes

On successful completion of this unit, you will be able to:

  1. Develop appropriate research questions.
  2. Design and conduct a qualitative data analysis.
  3. Design and conduct a quantitative data analysis.
  4. Manage and manipulate data using statistical software packages.
  5. Demonstrate proficiency in integrating GIS data analysis with statistical analysis.

Alignment of Assessment Tasks to Learning Outcomes
Assessment Tasks Learning Outcomes
1 2 3 4 5
1 - Group Discussion
2 - Group Work
3 - Written Assessment
Alignment of Graduate Attributes to Learning Outcomes
Introductory Level
Intermediate Level
Graduate Level
Graduate Attributes Learning Outcomes
1 2 3 4 5
1 - Communication
2 - Problem Solving
3 - Critical Thinking
4 - Information Literacy
5 - Team Work
6 - Information Technology Competence
7 - Cross Cultural Competence
8 - Ethical practice
Alignment of Assessment Tasks to Graduate Attributes
Introductory Level
Intermediate Level
Graduate Level
Assessment Tasks Graduate Attributes
1 2 3 4 5 6 7 8 9 10