Earth Observation for Sustainable Development Goals About the course This course examines how satellite data of the Earth can be used in the context of Sustainable Development Goals, and the easy-to-access tools that can be used to apply such data to practical SDG issues (such as monitoring and reporting). It starts with an introductory overview of the principles of remote sensing from space, and the narratives, and origin, of SDGs. It considers the operational elements of monitoring, such as completeness of data, uncertainties and costs, as well as introducing students to the practical use of satellite data, using Earth Blox. Earth Blox is a data analytics tools that has a shallow learning curve, giving students quick access to global EO data. Earth Blox is a new web-based tool, so it requires no local installation or specialised computing hardware. The bulk of the course looks at 4 SDGs in particular (2, 11, 13, 15), as the easiest examples of how EO data can be used to inform decision makers, or contribute to the broader SDG narrative. Further information can be found in the University's course catalogue: Earth Observation for Sustainable Development Goals Who is the course for? content Entry requirements As this course is designed mainly for professionals working with satellite data services or sustainability reporting, we expect our students to have qualifications or work experience in relevant environments (e.g. DFID/FCO/FCDO, USAID, GIZ), Third Sector organisations, commercial satellite data analytics companies, etc.). Some understanding of the fundamentals of physics/maths (e.g. at Higher/As level) would be advantageous but is not a prerequisite for joining the course. You should be educated to a degree level as this course is catering for those seeking postgraduate academic credit. However, professionals who are involved with managing data services or development projects and have 5 years of work experience may also apply even if they do not hold a degree qualification. English Language Requirements You must be comfortable studying and learning in English if it is not your first language. Learning Outcomes content How/when will the course be delivered? This course is being offered in the 21/22 academic session Start Dates: 20th September 2021 Course Duration: 5 weeks (+2weeks for final assessment - final assessment due Thursday week 7) Total Hours: Total Hours: No more than 100 hrs over 7 weeks (This is indicative only, and will be less if participants have previous learning, or work experience, in either subject: Online Activities 20, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 78) Method of Assessment: Coursework 100% Level: This is a University foundation level (SCQF Level 8). The course is of an introductory nature but a broad understanding of the subject area is required. Course fees and funding Course fees for 21/22 are £960, but Scottish Funding Council funding is available for people employed, unemployed or furloughed in Scotland (residency requirements apply). Full-time students are not eligible for funding. What will I receive upon completion? content How to apply Applications for September are now open. In order to verify that you meet the entry requirements for this course, you will be required to provide either: a degree certificate/transcript for your highest/most relevant academic qualification, or a CV and reference from an employer (if employed) or professional associate (if unemployed) outlining your suitability for the course The degree certificate/transcript or CV should be emailed to bayes-training@ed.ac.uk within 24 hours of submitting your application. References should be emailed to the same address (from an institutional/company account if from your employer) within 1 week of submitting your application. APPLY HERE Applications will close on 12th September 2021 Related courses Content Further study with UoE Content Contact Us Sep 20 2021 00.00 - Nov 08 2021 23.59 Earth Observation for Sustainable Development Goals This online credit-bearing course is an introduction to Earth observation for beginners and non-technical people. The primary aim is to provide students with a well-grounded understanding of the important insights provided by satellite observations with an emphasis on how this data can be used to monitor or evaluate progress on sustainable development goals (SDGs).
Earth Observation for Sustainable Development Goals About the course This course examines how satellite data of the Earth can be used in the context of Sustainable Development Goals, and the easy-to-access tools that can be used to apply such data to practical SDG issues (such as monitoring and reporting). It starts with an introductory overview of the principles of remote sensing from space, and the narratives, and origin, of SDGs. It considers the operational elements of monitoring, such as completeness of data, uncertainties and costs, as well as introducing students to the practical use of satellite data, using Earth Blox. Earth Blox is a data analytics tools that has a shallow learning curve, giving students quick access to global EO data. Earth Blox is a new web-based tool, so it requires no local installation or specialised computing hardware. The bulk of the course looks at 4 SDGs in particular (2, 11, 13, 15), as the easiest examples of how EO data can be used to inform decision makers, or contribute to the broader SDG narrative. Further information can be found in the University's course catalogue: Earth Observation for Sustainable Development Goals Who is the course for? content Entry requirements As this course is designed mainly for professionals working with satellite data services or sustainability reporting, we expect our students to have qualifications or work experience in relevant environments (e.g. DFID/FCO/FCDO, USAID, GIZ), Third Sector organisations, commercial satellite data analytics companies, etc.). Some understanding of the fundamentals of physics/maths (e.g. at Higher/As level) would be advantageous but is not a prerequisite for joining the course. You should be educated to a degree level as this course is catering for those seeking postgraduate academic credit. However, professionals who are involved with managing data services or development projects and have 5 years of work experience may also apply even if they do not hold a degree qualification. English Language Requirements You must be comfortable studying and learning in English if it is not your first language. Learning Outcomes content How/when will the course be delivered? This course is being offered in the 21/22 academic session Start Dates: 20th September 2021 Course Duration: 5 weeks (+2weeks for final assessment - final assessment due Thursday week 7) Total Hours: Total Hours: No more than 100 hrs over 7 weeks (This is indicative only, and will be less if participants have previous learning, or work experience, in either subject: Online Activities 20, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 78) Method of Assessment: Coursework 100% Level: This is a University foundation level (SCQF Level 8). The course is of an introductory nature but a broad understanding of the subject area is required. Course fees and funding Course fees for 21/22 are £960, but Scottish Funding Council funding is available for people employed, unemployed or furloughed in Scotland (residency requirements apply). Full-time students are not eligible for funding. What will I receive upon completion? content How to apply Applications for September are now open. In order to verify that you meet the entry requirements for this course, you will be required to provide either: a degree certificate/transcript for your highest/most relevant academic qualification, or a CV and reference from an employer (if employed) or professional associate (if unemployed) outlining your suitability for the course The degree certificate/transcript or CV should be emailed to bayes-training@ed.ac.uk within 24 hours of submitting your application. References should be emailed to the same address (from an institutional/company account if from your employer) within 1 week of submitting your application. APPLY HERE Applications will close on 12th September 2021 Related courses Content Further study with UoE Content Contact Us Sep 20 2021 00.00 - Nov 08 2021 23.59 Earth Observation for Sustainable Development Goals This online credit-bearing course is an introduction to Earth observation for beginners and non-technical people. The primary aim is to provide students with a well-grounded understanding of the important insights provided by satellite observations with an emphasis on how this data can be used to monitor or evaluate progress on sustainable development goals (SDGs).
Sep 20 2021 00.00 - Nov 08 2021 23.59 Earth Observation for Sustainable Development Goals This online credit-bearing course is an introduction to Earth observation for beginners and non-technical people. The primary aim is to provide students with a well-grounded understanding of the important insights provided by satellite observations with an emphasis on how this data can be used to monitor or evaluate progress on sustainable development goals (SDGs).