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Curricular information is subject to change
At the end of this module students will…
- understand the theoretical importance and relevance of studying networks
- have a good understanding of the theoretical foundations of various strategies for modeling network dynamics
- distinguish conceptually between social selection and social influence effects
- be able to handle social networks in R and conduct simple social network analyses
Student Effort Type | Hours |
---|---|
Lectures | 24 |
Specified Learning Activities | 50 |
Autonomous Student Learning | 176 |
Total | 250 |
Prior knowledge of R and social network analysis is not required, but it is an advantage.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Assignment: Lab assignment | Varies over the Trimester | n/a | Graded | No | 30 |
Assignment: Response paper | Unspecified | n/a | Graded | No | 30 |
Attendance: Participation | Throughout the Trimester | n/a | Graded | No | 10 |
Presentation: Presentation | Unspecified | n/a | Graded | No | 30 |
Resit In | Terminal Exam |
---|---|
Summer | No |
• Feedback individually to students, post-assessment
Individual feedback is given to students after all assessment components