Courses & Units
Data Analysis and Presentation JFA207
Hobart
Introduction
JFA207 Data Analysis and Presentation builds upon your first-year units that include data analysis and presentation. The emphasis in this unit is on training you to be literate in data presentation and statistical analysis so that you can effectively communicate data and statistical outputs to both “consumers” and “producers” of data. At the conclusion of this unit, you will be able to critically assess, understand, and use qualitative and quantitative data that has been collected, analysed and presented by scientists from a range of disciplines, including, marine ecology, fisheries, management and governance. This will be achieved by providing you with a conceptual understanding of types of data, data visualisation, and the methods of data analyses commonly used by scientists. Given the type of question asked and the data collected, by the end of this unit you will be able to present and communicate data/information using statistics as a tool.
Summary
Unit name | Data Analysis and Presentation |
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Unit code | JFA207 |
Credit points | 12.5 |
College/School | College of Sciences and Engineering Institute for Marine & Antarctic Studies |
Discipline | Ecology and Biodiversity|Fisheries and Aquaculture|Oceans Ice and Climate |
Coordinator | Doctor Joel Williams |
Available as an elective? | Yes |
Delivered By | University of Tasmania |
Level | Intermediate |
Sustainable Development Goals
The Unit Coordinator has identified that this unit aligns with the following UN Sustainable Development Goals. We welcome your thoughts and feedback on the alignment of the unit with these goals.
Availability
Location | Study period | Attendance options | Available to | ||
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Hobart | Semester 2 | 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 |
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Semester 2 | 21/7/2025 | 19/8/2025 | 8/9/2025 | 26/10/2025 |
* 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 2025 are indicative and subject to change. Finalised census dates for 2025 will be available from the 1st October 2024. Note census date cutoff is 11.59pm AEST (AEDT during October to March).
Learning Outcomes
- Identify appropriate experimental designs for hypothesis testing in marine and Antarctic sciences
- Analyse data used by marine and Antarctic scientists
- Visualise, present, and communicate data analysis outputs to specialists and non-specialists
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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010999 | $1,164.00 | $1,164.00 | not applicable | $2,886.00 |
- 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 | Weekly for 13 weeks, 1 h tutorial, 3 h computer-based practicals, combined with online lectures and material. All students are expected to attend tutorials and pracs face-to-face - attendance is compulsory and will be recorded on a weekly basis. |
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Assessment | Paper critique (10%)|Correlation and Regression (15%)|Two-way ANOVA (15%)|Mid-semester Test (20%)|Final exam (40%) |
Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
Required |
There are no required texts for this unit. |
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Recommended | A recommended reading list will be available through MyLO. |
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.