Geographical Information Systems in Organizations
Objectives
Analyze the organizational aspects of information systems and GIS in particular
General characterization
Code
200124
Credits
7.5
Responsible teacher
Rui Pedro de Sousa Pereira Monteiro Julião
Hours
Weekly - Available soon
Total - Available soon
Teaching language
Portuguese. If there are Erasmus students, classes will be taught in English
Prerequisites
n.a.
Bibliography
Teaching method
The curricular unit is based on reading materials and online classes through the e-learning platform
Evaluation method
Test (20%)
Practical work (80%)
Subject matter
Learning Units (LU):
LU1. From Technocentric to Socio-Technical Computing
1. Introduction
2. The technological imperative and the fetishism of the product
3. From "technology push" to "demand pull"
4. Computer scientists or information specialists?
5. Conclusion
LU2. Information Systems (IS) in Organisations
1. Introduction
2. The generic benefits of Information Systems
3. The roles of IS in organisations
4. Developing an Information Strategy
5. Tools for strategic thinking
6. Conclusion
LU3. GIS Development Methodologies
1. Introduction
2. What is an IS development methodology?
3. A composite GIS development methodology
4. Critique of the methodology
5. Alternative Methodologies
6. How to choose a methodology?
7. "Soft Systems" Approach
LU4. Organisations, People, GIS and Spatial Data Infrastructures (SDI)
1. Introduction
2. Impact of Corporate Cultures on GIS Implementation
3. The impact of people on GIS projects
4. The impact of GIS on organisations
5. The Impact of GIS on people
6. SDI
7. Conclusion
Programs
Programs where the course is taught:
- e-learning - Specialization in Geographic Information Systems and Science
- e-learning - Specialization in Geospatial Data Science
- Master in Geographic Information Systems and Science
- Post-Graduation in Geographic Information Systems and Science
- Post-graduation in Geospatial Data Science
- Post-graduation in Geospatial Data Science
- b-learning - Specialization in Geospatial Data Science