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SylabUZ

  1. SylabUZ
  2. Faculty of Computer Science, Electrical Engineering and Automatics
  3. winter term 2019/2020
  4. E-business - First-cycle Erasmus programme
  5. Geographical information systems
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Geographical information systems - course description

General information
Course name Geographical information systems
Course ID 11.3-WE-BizElP-SystInformPrzest-Er
Faculty Faculty of Computer Science, Electrical Engineering and Automatics
Field of study E-business
Education profile practical
Level of studies First-cycle Erasmus programme
Beginning semester winter term 2019/2020
Course information
Semester 4
ECTS credits to win 2
Course type obligatory
Teaching language english
Author of syllabus
  • dr hab. inż. Artur Gramacki, prof. UZ
Classes forms
The class form Hours per semester (full-time) Hours per week (full-time) Hours per semester (part-time) Hours per week (part-time) Form of assignment
Lecture 15 1 - - Credit with grade
Laboratory 15 1 - - Credit with grade

Aim of the course

The aim of the course is to provide students with basic information about spatial information systems (digital maps), the principles of their creation, IT tools supporting this field of knowledge, types of analyzes performed.

Prerequisites

Introduction to Databases

Scope

Definition of basic terms in the field of GIS (Geographical Information Systems). Digital maps versus traditional paper maps. Cartographic projections. Spatial Reference System for the correct location of objects on the globe. EPSG codes. Presentation of selected reference systems, including those used in Poland and in the GPS system. Selected data storage formats for numeric maps. Selected IT tools for working with numeric maps (free and commercial). Database support for storing and analyzing spatial data. Storage of spatial data in MySQL database, dedicated data types, functions supporting spatial analysis. Open Geospatial Consortium (OGC) specifications. Open GeoJSON geo-spatial data exchange format. Examples of spatial analysis. Geostatistics. Presentation of the Google Maps system and the basics of its programming.

Teaching methods

Lecture, laboratory exercises.

Learning outcomes and methods of theirs verification

Outcome description Outcome symbols Methods of verification The class form

Assignment conditions

  • Lecture – the passing condition is to obtain a positive mark from the final test.
  • Laboratory – the passing condition is to obtain positive marks from all laboratory exercises to be planned during the semester.
  • Calculation of the final grade: lecture 50% + laboratory 50%

Recommended reading

  1. Bivand, R.S., Pebesma, E.J., Gómez-Rubio V., Applied Spatial Data Analysis with R, Springer, 2008.
  2. Kolvoord, R., Keranen, K., Making Spatial Decisions Using GIS, A Workbook, ESRI, 2011.
  3. Bolstad, P., GIS Fundamentals: A First Text on Geographic Information Systems, Eider Press, 2004.
  4. Dorman, M.: Learning R for Geospatial Analysis, Packt Publishing, 2014
  5. R Project documentation (https://www.r-project.org/)

Further reading

Notes


Modified by dr hab. inż. Artur Gramacki, prof. UZ (last modification: 08-12-2019 23:21)

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