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Precision Technologies for Cross-sectorial Development

Course developer

Prior knowledge

InfT5056, Information Technologies in Geoinformatics

Course abstract

The aim of the study course is to provide knowledge about an integrated field, which includes the analysis of the possibilities of using precise technologies in the natural sciences. Students will gain knowledge about the development of GIS, spatial data processing and analysis, as well as spatial planning possibilities in solving interdisciplinary problems in agriculture, forestry and environmental science-related fields. During practical work, students will get acquainted with the experience of various sectors in the implementation and research of the possibilities of practical application of precise technologies in accordance with modern development trends.

Learning outcomes and their assessment

Able to independently use theory and practical skills, being able to reasonably discuss the fine tunings of a specific solution, precise technological issues, and apply knowledge in practice.

Course Content(Calendar)

1. Introductory lecture (1h);
2. The idea of open data. Architecture of open data portals. Drawing. Access to content in machine-readable format. Lectures and practical work (4h);
3. Web Map Services (WMS). Lectures and practical work (4h);
4. Web Feature Service (WFS). Lectures and practical work (4h);
5. Attribute and spatial filtering methods of web feature services. Lectures and practical work (4h);
6. Connecting web viewing services and web download services with QGIS. Query examples. Lectures and practical work (4h);
7. Final seminar and discussions (3h).

Requirements for awarding credit points

1. Successfully completed 4 out of 5 practical assignments;
2. Prepared and presented an independent study at the final seminar;
3. Independently studied special literature sources.

Description of the organization and tasks of students’ independent work

1. During the semester, the student is given 5 practical assignments to complete;
2. Additionally, a presentation must be prepared and a presentation must be given at the final seminar.

Criteria for Evaluating Learning Outcomes

Examp.
1. Successfully completed 4 out of 5 practical assignments;
2. Prepared and presented an independent research paper at the final seminar.

Compulsory reading

1. U. Bojārs, “Atvērto datu vadlīnijas,” Atvērto datu vadlīnijas, 2016;
2. Informācijas atklātības likums;
3. Kārtība, kādā iestādes ievieto informāciju internetā;
4. T. Berners-Lee, “Linked Data - Design Issues,” Linked Data, 2006;
5. M. Hausenblas, “5 star Open Data,” 5 star open data, 2012;
6. OGC standarti;
7. OGC WMS standarts;
8. OGC WFS standarts;
9. OGC filtra kodēšanas standarts;
10. QGIS apmācības rokasgrāmata;

Further reading

1. Creative Commons vietne.

Periodicals and other sources

1. “Licencēšanas palīgs | data.europa.eu”.

Notes

Study course for students of ITF Master's study program "Information Technologies"