Social Network Intelligence
Objectives
The course aims to introduce students to the importance of managing data, information, and knowledge effectively in a contemporary knowledge-based society, where social networks, geographic information, and technology play fundamental roles in the successful evolution of intelligence and information management.
General characterization
Code
400036
Credits
4.0
Responsible teacher
Guilherme Hidalgo Barata Martins Victorino
Hours
Weekly - Available soon
Total - Available soon
Teaching language
Portuguese. If there are Erasmus students, classes will be taught in English
Prerequisites
non aplicable
Bibliography
Kilduff, M. & Tsai, W. (2003). Social networks and organizations. London: Sage. ; Malone, Thomas W. (2004). The Future of Work. Harvard Business School Press.; 0; 0; 0
Teaching method
Workshop-oriented classes, lectures, project-based learning, case studies, weekly challenges, quizzes.
Evaluation method
|
Final Grade Calculation |
First Call |
Second Call |
|
Assignment 1 |
30% |
30% |
|
Assignment 2 |
30% |
30% |
|
Exam |
40% |
40% |
Subject matter
Curricular unit content:
- From Data to Knowledge. Fundamentals of Knowledge Management
- Fundamentals of Social Media and SOCMINT
- Fundamentals of Social Network Analysis
- Introduction to Geospatial Intelligence (GEOINT)
- GEOINT Sources and Data collection strategies
- Geospatial Intelligence Analytical Techniques
- GEOINT Products and Communication
- GEOINT Technology Seminar
Programs
Programs where the course is taught: