GEOL1131: GEOINFORMATICS

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• To introduce fundamental concepts of Earth observation and remote data acquisition.
• To acquire basic geoscientific data visualization and analysis skills.
• To gain geospatial skills and apply them to selected geoscience topics.
• To acquire digital cartography skills and data plotting appropriate to communicating geoscientific datasets to diverse audiences.

• This module will be a combination of lectures and IT-based practicals to introduce concepts and practice of geoinformatics and data analysis.
• Case studies will highlight the application of remote sensing and geoinformatic methods to a range of Earth Science topics; including geohazards, resource estimation, environmental assessment.
• Students will have an opportunity collect their own datasets, plot and interpret their own results.

Subject-specific Knowledge:

• The fundamentals of geoscientific data, remote sensing and data analysis methods.
• How to investigate Earth processes using geoinformatic methods.
• An understanding of the capabilities and limitations of Earth observation methods.
• Enhanced understanding of selected Earth processes.

Subject-specific Skills:

• IT skills and in particular a basic competence in GIS and high-level programming software.
• Basic computer programming skills.
• How to find/obtain geoscientific datasets and prepare them for analysis
• Troubleshooting data issues and self-teaching via online forums/help tools.
• Interpretation of Earth observation datasets.
• Evaluation of uncertainties associated with particular datasets.
• Carry out hypothesis driven analysis to understand limitations of results.
• Preparation and presentation of geoinformatic outputs.

Key Skills:

• Discipline specific skills: Critical analysis, practical competency.
• Independent study skills.
• Communication and presentation skills.
• IT skills.
• Entrepreneurial skills.
• Personal effectiveness.

• The module is delivered through a series of three-hour practical slots, supported by handouts and directed reading.
• This method is preferred as it provides "hands on" learning and experience of acquiring geoinformatics skills.
• Formative assessment is provided weekly during the practical sessions together with a formative class test.
• Summative assessment is made up of in-class assessments through which students can demonstrate practical skills

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