SCI103 Communicating Environmental Data (8)
Abstract|
Communicating Environmental Data addresses general but core skills and concepts that will prepare the student to engage successfully with other CSU subjects, namely the ones related to spatial sciences. The subject addresses effective and efficient communication and visualization techniques and introduces current environmental applications using spatial data. The spatial applications will showcase the importance of using spatial sciences to cope with environmental challenges acknowledged currently. The subject has no residential school. On completion, students will be able to illustrate methods of communicating environmental data; to select correctly data visualization tools and to analyse spatial data and to assess its relevance through current real-life applications. |
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+ Subject Availability Modes and Location
| Session 1 | | Online | Albury-Wodonga Campus | | On Campus | Albury-Wodonga Campus | | On Campus | Port Macquarie |
Continuing students should consult the SAL for current offering details: SCI103
Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.
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Subject information| Duration | Grading System | School: |
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| One session | HD/FL | School of Environmental Sciences |
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Enrolment restrictions|
Students who have successfully completed SCI200 cannot enrol in this subject |
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| Incompatible subject(s) |
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| SCI200 |
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Learning OutcomesUpon successful completion of this subject, students should:
- be able to identify, discuss and use communication techniques
- be able to identify, describe and present environmental data
- be able to identify and discuss concepts related to spatial data
- be able to describe acquisition and processing methods for spatial data
- be able to analyse and criticise spatial data applications
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SyllabusThe subject will cover the following topics:
- Introduction to communication and visualization techniques
- Characteristics of spatial and environmental data
- Environmental data, and its sources, acquisition, storage, integrity, and relationship with information and knowledge
- Methods and software for communicating spatial and non-spatial data as the precursor to statistical and/or scientific evaluation
- Spatial data acquisition tools: global positioning systems, remote sensing, image analysis and geographical information systems
- Applications of spatial science for a range of scientific disciplines including environmental science
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The information contained in the 2017 CSU Handbook was accurate at the date of publication: 25 August 2017. The University reserves the right to vary the information at any time without notice.
