Launceston
Introduction
Environmental scientists increasingly need to deal with complex and large quantitative data sets collected from a variety of sources (i.e. remote sensing, moored instrumentation arrays and autonomous vehicles). As a result, computational and data analysis skills are highly desirable and useful across the many sub-disciplines of the environmental and marine sciences. This unit provides and introduction to processing, visualizing, and interpreting quantitative, spatial marine and environmental science data using scientific computing techniques. Computation methods and visualizations will be performed using a variety of software and computing languages including MATLAB, ArcGIS and Python.
Summary 2020
Unit name | Environmental and Spatial Data Analysis |
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Unit code | KSM605 |
Credit points | 12.5 |
Faculty/School | College of Sciences and Engineering Institute for Marine & Antarctic Studies |
Discipline | Fisheries and Aquaculture |
Coordinator | Andrew Fischer |
Level | Postgraduate |
Available as student elective? | No |
Breadth Unit? | No |
Availability
Note
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Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.
Special approval is required for enrolment into TNE Program units.
TNE Program units special approval requirements.
* 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 (see withdrawal dates explained for more information).
Learning Outcomes
- Apply the basics of computer programming and mathematical principles relevant to marine science.
- Apply an understanding of data aggregation, processing and visualization to marine management.
- Construct custom tools that automate computation and visualization tasks.
- Apply computation skills in addressing a timely and relevant marine science question.
Fees
Teaching
Teaching Pattern | 2 hr lecture and 2 hr tutorial weekly |
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Assessment | Tutorials and weekly lab reports (30%), exam 1 (15%), exam 2 (15%), Final exam (40%) |
Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
Required | None |
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The University reserves the right to amend or remove courses and unit availabilities, as appropriate.