Hobart, Launceston
Introduction
Summary %globals_context%
Unit name | Spatial Data and Analysis for Marine and Antarctic Science |
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Unit code | KSM103 |
Credit points | 12.5 |
Faculty/School | College of Sciences and Engineering Institute for Marine & Antarctic Studies |
Discipline | Ecology and Biodiversity |
Coordinator | %asset_metadata_unit.Coordinator% |
Available as student elective? | %asset_metadata_unit.AvailableAsElective_value^empty:No% |
Breadth Unit? | %asset_metadata_unit.IsBreadthUnit_value% |
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
1 | Apply basic computation skills to process, visualize, analyze and interpret spatial marine and Antarctic datasets. |
2 | Develop programming skills to work with spatial marine science and Antarctic datasets |
3 | Develop competencies in spatial data representation, vector and raster data, band ratio algorithms, remote sensing and spatial statistics with regards to marine and Antarctic data |
4 | Apply competencies and programming skills to develop interdisciplinary approaches of translating marine and Antarctic information for stakeholders (research, management and government institutions and the general public). |
Fees
Requisites
Prerequisites
Co-requisites
Mutual Exclusions
You cannot enrol in this unit as well as the following:
KSM203
Teaching
Teaching Pattern | 2 x 120 minute lecture weekly |
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Assessment | AT1 - Programming Skills Test (15%) AT2 - Programming Skills Test (15%) AT3 - Tutorial Exercises (30%) AT4 - 4-hour Take Home 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.