ECTS Course Catalogue
Course details
Course code:
IWS10181o14Semester:
2014/2015 summerName:
Geographical Information SystemsMajor:
Water Engineering and ManagmentStudy Type:
first cycleCourse type:
compulsoryStudy Semester:
4ECTS points:
4Hours (Lectures / Tutorials / Other):
15 / 30 / 0Lecturer:
dr inż. Adam IwaniakLanguage of instruction:
PolishLearning outcomes:
He knows the extent of the use of spatial data; known method for determining the position and sources of spatial data; knows the rules for the collection, processing and analysis of data; knows the basics WebGIS and VGI; knows methods to search for information on the Internet.
Knows how to implement a simple system GIS is able to perform simple and complex GIS analysis, can find information on the Internet.Competences:
The ability to use digital mapping and GIS setting. The ability to update digital maps calibrated raster maps and perform spatial analysis in GIS.Prerequisites:
information technologyCourse content:
GIS application area. Representation of spatial data. Positioning. Data capture and collect them in the database. Spatial data processing and analysis. Generalization and data visualization. GIS on the Internet, searching for information. Social GIS. Free software.
Recommended literature:
Gotlib D., Iwaniak A., Olszewski R., GIS obszar zastosowań, PWN, Warszawa 2008; Gaździcki J.: Systemy Informacji Przestrzennej, PPWK, Warszawa-Wrocław 1990; Kraak M., Ormeling F.: Kartografia wizualizacja danych przestrzennych, PWN 1998; Longley P., GoodChild M., Maguire D., Rhind D., GIS teoria i praktyka, PWN, Warszawa 2006; Ullman J., Widom J.: Podstawowy wykład z systemów baz danych, WNT 2000Assessment methods:
Exercise-execution and completion of two projects GIS lecture-positive pass two written tests of credits.
Comment:
Lecture 1 Introduction, definitions, scope, history, regulations
Lecture 2 GIS application area
Lecture 3 Representation methods of the natural environment
Lecture 4 Determination of the position
Lecture 5 Data Sources
Lecture 6 Spatial Databases
Lecture 7 Analysis of Spatial Data
Lecture 8 The processing of spatial data
Lecture 9 Data Visualization
Lecture 10 Generalization of spatial data
Lecture 11 WebGIS, cloud computing
Lecture 12 VGI, the quality of spatial data
Lecture 13 Free Software
Lecture 14 Metadata. Search for Spatial Information in the Internet
Lecture 15 Summation
The type and extent of exercise: Exercise Laboratory
Exercise 1-2: Geoportal.
Exercise 3-9: Development of a GIS project in GeoMedia software.
Exercise 10-15: Integration and processing of data in QGIS.