Open Software and GIS Programming
Objectives
See section "Learning outcomes of the curricular unit"
General characterization
Code
200143
Credits
7.5
Responsible teacher
Roberto André Pereira Henriques
Hours
Weekly - Available soon
Total - Available soon
Teaching language
Portuguese. If there are Erasmus students, classes will be taught in English
Prerequisites
-
Bibliography
- Lutz, M. (2007) Learning Python, 3rd Edition. O'Reilly Media
- Sherman, G. (2012) The Geospatial DesktopÇ Open Source GIS & Mapping. Locate Press
Teaching method
eLearning component: synchronous sessions and self-assessment exercises
Classroom component: presentation and discussion of the final project
Evaluation method
Exam: 20%
Final project: 40%
Presentation and discussion: 40%
Subject matter
This course is divided into five modules with the following content:
- Open Source, Open Data and Open Standards
- Use of Open Source Software in GIS
- Introduction to Pyhton
- Introduction to geospatial Python with ESRI
- Introduction ro geospatial Python with Open Source
Programs
Programs where the course is taught: