Geoinformation Systems

Data is displayed for the academic year: 2025./2026.

Lecturers

Prof.
Davor Škrlec
PhD

Lectures

Matija Zidar
PhD
Bojan Franc
PhD

Course Description

The course deals with the application and design of geoinformation systems with a focus on practical application in all types of infrastructure projects (energy, telecommunications, transport, water supply, drainage, etc.), spatial planning, environmental protection, and urban planning. After basic knowledge in cartography, data modelling for geoinformation systems, and geospatial databases, students will focus on acquiring knowledge about analyses that can be made in geoinformation systems. The course will also provide insight into the use of data available from the European Space Agency (Sentinel) satellites and NASA satellites, and the development of mobile and web applications. Students will acquire knowledge through the application of geoinformation systems to real examples. The course is a combination of narrow areas of specialisation from technical fields and computer science. The combination of areas will be acquired through lectures and laboratory exercises on the example of diverse types of infrastructure systems, where students will create their simple project through practical work in the QGIS software.

Study Programmes

University graduate
[FER3-EN] Electrical Power Engineering - profile
Elective courses (3. semester)

Learning Outcomes

  1. Demonstrate basic knowledge of cartography
  2. Explain the data model for geographic information systems
  3. Explain sources and types of spatial data
  4. Demonstrate spatial data modelling
  5. Explain spatial databases
  6. Demonstrate knowledge in using various data sources, including satellite data
  7. Demonstrate knowledge in integrating diverse types of satellite data
  8. Apply spatial analysis to infrastructure network projects
  9. Apply QGIS software to solve real-world problems

Forms of Teaching

Lectures

The course is organized into two teaching cycles. The first cycle consists of 7 weeks of direct teaching and intermediate exams. The second cycle of classes contains 6 weeks of direct classes and a final exam. Classes are conducted over a total of 15 weeks with a weekly load of 2 hours.

Independent assignments

After the introductory lecture in which the functionalities of the QGIS program is explained, students solve GIS project by problem-based learning.

Grading Method

Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Laboratory Exercises 0 % 20 % 0 % 20 %
Seminar/Project 0 % 40 % 0 % 40 %
Mid Term Exam: Written 50 % 20 % 0 %
Final Exam: Written 50 % 20 %
Exam: Written 50 % 40 %

Week by Week Schedule

  1. Introduction to cartography and geographic information systems
  2. Geodetic datum, Map projection, Geographic coordinate systems
  3. Types of spatial data, sources of spatial data
  4. Data quality, Sources of error, Error correction
  5. Spatial data modelling, geospatial databases
  6. Satellite data for geoinformation systems, data integration
  7. Data integration in QGIS software
  8. Midterm exam
  9. Spatial analyses in geoinformation systems
  10. Examples of spatial analysis in QGIS software
  11. Development of web applications for the display and analysis of spatial data
  12. Development of mobile applications for the display and analysis of spatial data
  13. Application of geoinformation systems in infrastructure projects
  14. GIS project management
  15. Final exam

Literature

(.), A Gentle Introduction to GIS (dokumentacija QGIS),
(.), QGIS Training Manual,
(.), QGIS User Guide,
(.), Geoprostorne baze podataka, Zagreb: Golden Marketing - Tehnička knjiga, 2006 (Sveučilišni udžbenik),
Škrlec, Franc, Zidar (2021.), Geoinformacijski sustavi. (interna skripta), FER
Zdravko Galić (2016.), Spatio-Temporal Data Streams, Springer

General

ID 222967
  Winter semester
5 ECTS
L2 e-Learning
30 Lectures
0 Seminar
0 Exercises
13 Laboratory exercises
0 Project laboratory
0 Physical education excercises

Grading System

Excellent
Very Good
Good
Sufficient

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