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.
|Unit name||Environmental and Spatial Data Analysis|
|Faculty/School||College of Sciences and Engineering
Institute for Marine & Antarctic Studies
|Discipline||Fisheries and Aquaculture|
|Available as student elective?||No|
|Location||Study period||Attendance options||Available to|
|Launceston||Semester 2||On-Campus||Off-Campus||International International||Domestic Domestic|
- International students
- Domestic students
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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.
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|Study Period||Start date||Census date||WW date||End date|
* 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).
Unit census dates currently displaying for 2020 are indicative and subject to change. Finalised census dates for 2020 will be available from the 1st October 2020.
- 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.
|Band||CSP Student Contribution||Full Fee Paying (domestic)||Field of Education|
|2||2020: $1,190.00||2020: $2,354.00||010799|
Fees for next year will be published in October. The fees above only apply for the year shown.
Please note: international students should refer to this page to get an indicative course cost.
2 hr lecture and 2 hr tutorial weekly
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|
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