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Course title Geographic Information Systems
Course code InfT3012
Credit points (ECTS) 3
Total Hours in Course 81
Number of hours for lectures 16
Number of hours for laboratory classes 16
Independent study hours 49
Date of course confirmation 18/10/2022
Responsible Unit Institute of Computer Systems and Data Science
 
Course developers
Dr. sc.ing., asoc. prof. Laima Bērziņa

Prior knowledge
DatZ2004, Database Technologies I
DatZ2005, Database Technologies II
InfT3024, Computer Graphics
Course abstract
The aim of the course is to develop a theoretical understanding of geographic information systems (GIS) and its applications. Students learn the basics of cartography and acquire practical knowledge for using GIS to solve cartographic tasks and latest GIS trends. Students visualize data, compose and execute spatial queries, learn the basics of creating and editing spatial and attribute data, as well as become familiar with data analysis techniques and understand the relationship of tables. After completing the course, students acquire the skills to work in the ArcGIS environment. The task of the course is to provide knowledge about the solutions of diverse GIS tasks in science and practice, as well as the importance of IT in their implementation.
Learning outcomes and their assessment
Knowledge – is able to show understanding of the role of GIS technologies and main GIS processes (theory test). Skills – is able to independently use methods, problem-solving skills and theoretical knowledge to find solutions and methods for analysis and visualization of geospatial data (laboratory works). Competence – is able to independently formulate and critically analyze GIS tools for data visualization, processing and analysis, as well as to evaluate the obtained results and apply them in performing creative work (independent work).
Course Content(Calendar)
1. Concept and functions of GIS. Organization of spatial data. (2h).
2. Applicability of GIS in the national economy (2h).
3. GIS data structures. Raster, vector and hybrid data models (2h).
4. Mathematical basis of the map (2h).
5. GIS software – classification, architecture and functionality (2h).
6. Geospatial data storage in databases. Use of data services (2h).
7. Symbolization of vector geospatial data (2h).
8. Data selection by attributive information (2h).
9. Data selection according to spatial relations of geographical objects (2h).
10. Work with map text and annotations (2h).
11. Review and application of geoprocessing tools (2h).
12. Digitization or vectorization of geographical objects (2h).
13. Georeferencing of raster data (2h).
14. GIS data conversions (2h).
15. GIS 2D data spatial analysis solutions (2h). 16. GIS and modelling (2h)
Requirements for awarding credit points
Exam.
Requirements for the cumulative exam:
performed all laboratory works;
completed independent practical work; written test of the theoretical part of studies.
Description of the organization and tasks of students’ independent work
During the semester, the student must complete one independently done practical work that provides the solution for automating a specific task of GIS. Description of the work must be written (at least 8 pages) and submitted electronically on the e-learning site. The results must be presented at a closing seminar.
Criteria for Evaluating Learning Outcomes
All laboratory works are completed (max. 6 points).
Independently done practical work is submitted and represented at the final seminar (maximum 1 point).
Theoretical test (maximum 3 points). The sum of the scores is the cumulative score of the semester.
Compulsory reading
1.Bernhardsen T. Geographic Information Systems: an Introduction. New York: John Wiley&Sons, 2002. 428 p.
2.Heywood I., Cornelius S., Carver S. An Introduction to Geographical Information Systems. Pearson Education, Limited 2011. 480 p. 3.Crampton J. Mapping: A Critical Introduction to Cartography and GIS. John Wiley & Sons, 2011. 232 p.
Further reading
1.Bolstad P. GIS Fundamentals: A First Text on Geographic Information Systems. XanEdu Publishing Inc, 2019. 770 p
Periodicals and other sources
ESRI mājas lapa [tiešsaiste]. Pieejams: https://www.esri.com/training/ Latvijas Ģeotelpiskās informācijas aģentūra (LĢIA) [tiešsaiste]. Pieejams: https://www.lgia.gov.lv/lv
Notes
Academic study programme Computer Control and Computer Science.