| CODE | EMP1014 | ||||||||||||
| TITLE | Environmental Data Processing | ||||||||||||
| UM LEVEL | 01 - Year 1 in Modular Undergraduate Course | ||||||||||||
| MQF LEVEL | 5 | ||||||||||||
| ECTS CREDITS | 4 | ||||||||||||
| DEPARTMENT | Environmental Management and Planning | ||||||||||||
| DESCRIPTION | This study-unit will introduce students to global distribution of data repositories of Earth Systems science data, to data visualization methods as well as methods for quality control of data. Using theory and practical case studies, students will be given the opportunity to become familiar with the varied range and format of Earth system data, such as raster and vector, enabling them to collate and import these using specific analytical software, to produce seamless data and derived information. Amongst other things, the study-unit will introduce students to various relevant software packages including ODV4, QGIS, and SAGA (Image raster processing software). Study-Unit Aims: This study-unit aims: - To enable students to assess data quality; - To enable students to be aware of various options for data visualization; - To provide students with an understanding of the scope and diversity of Earth Systems science data and its management; - To provide students with an appreciation of the various Earth system data formats, including raster and vector data; - To help students develop an awareness of sources of relevant data, including meteorological/terrestrial/oceanic measurements. Learning Outcomes: 1. Knowledge & Understanding: By the end of the study-unit the student will be able to: - Describe the structure of data management, processing systems, and data storage; - Explain how data management systems will increase access and use of scientific data and reduce the threat of data being 'lost'; - Describe the need for data quality control of environmental datasets; - Describe how environmental data available in different formats can be processed to solve spatial problems and challenges. 2. Skills: By the end of the study-unit the student will be able to: - Collect environmental data in relation to an identified problem, propose a related appropriate mathematical approach and use this technique/model to solve the problem; - Upon being given an Earth Systems data set, interpret its meta-data record for data management purposes; - Perform and adopt basic Earth systems data processing/management in relation to (i) geospatial data and remote sensing, (ii) general circulation models, and (iii) data visualization; - Handle basic data visualisation systems and related services. Main Text/s and any supplementary readings: - Devillers, R., Goodchild, H., Eds., 2017. Spatial data quality: from process to decisions. CRC Press. ISBN: 9781138117822. - System for Automated Geoscientific Analysis: http://saga-gis.org/en/index.html - QGIS: https://www.qgis.org/en/site/ |
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| ADDITIONAL NOTES | Attendance to scheduled sessions (lectures, field work, seminar, laboratory sessions and any other teaching session in whatever mode) is obligatory and only students having a satisfactory attendance will be assessed in the study-unit. Students, who do not attend at least 85% of the teaching time allocated to the study-unit, will not be allowed to sit for any of the assessment components mentioned below. | ||||||||||||
| STUDY-UNIT TYPE | Lecture and Practicum | ||||||||||||
| METHOD OF ASSESSMENT |
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| LECTURER/S | Daniel Fenech Adam Gauci |
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The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints. Units not attracting a sufficient number of registrations may be withdrawn without notice. It should be noted that all the information in the description above applies to study-units available during the academic year 2024/5. It may be subject to change in subsequent years. |
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