Workshop: Team Management
A.Y. 2024/2025
Learning objectives
Undefined
Expected learning outcomes
Undefined
Lesson period: Second semester
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Lesson period
Second semester
Course syllabus
- Introduction to the course
- Bipartite networks
- Density and degree
- Connected components
- Centrality
- Clustering coefficient & Transitivity
- Bridges
- Reciprocity
- Assortativity
- The nature of social structure: Milgrim, Granovetter and Dunbar theories
- Community detection
link per online:
https://itucph.zoom.us/j/69137603315
- Bipartite networks
- Density and degree
- Connected components
- Centrality
- Clustering coefficient & Transitivity
- Bridges
- Reciprocity
- Assortativity
- The nature of social structure: Milgrim, Granovetter and Dunbar theories
- Community detection
link per online:
https://itucph.zoom.us/j/69137603315
Prerequisites for admission
Suggested: Programming in Python.
Teaching methods
Educational activities in computer laboratory.
Teaching Resources
Slides of the lessons, posted after each class.
Reza Zafarani, Mohammad Ali Abbasi, Huan Liu. Social Media Mining: An Introduction. A Textbook by Cambridge University Press http://www.socialmediamining.info/
Reza Zafarani, Mohammad Ali Abbasi, Huan Liu. Social Media Mining: An Introduction. A Textbook by Cambridge University Press http://www.socialmediamining.info/
Assessment methods and Criteria
Group project on network analysis
Final evaluation will consist of an in-person oral examination where each project group will present their work. During the presentation, students must:
- Demonstrate their project outcomes
- Explain their collaboration process, including: Tools and platforms used for team coordination; Individual responsibilities and contributions; Areas of collective discussion and group decision-making
The examination will be graded on a pass/fail basis, with possible outcomes of either 'Approved' or 'Not Approved.'
Final evaluation will consist of an in-person oral examination where each project group will present their work. During the presentation, students must:
- Demonstrate their project outcomes
- Explain their collaboration process, including: Tools and platforms used for team coordination; Individual responsibilities and contributions; Areas of collective discussion and group decision-making
The examination will be graded on a pass/fail basis, with possible outcomes of either 'Approved' or 'Not Approved.'
- University credits: 3
Humanities workshops: 36 hours