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:

  1. Open Source, Open Data and Open Standards
  2. Use of Open Source Software in GIS
  3. Introduction to Pyhton
  4. Introduction to geospatial Python with ESRI
  5. Introduction ro geospatial Python with Open Source