SOC30380 Social Dynamics and Networks

Academic Year 2023/2024

This module is focused on concepts of social networks and how to analyse them. For that key concepts from analytical sociology approach are studied in order to understand social dynamics and social structures observed in social networks. Students are expected to engage in discussions regarding the understanding of influences of micro (local or individual) and macro (global or collective) social dynamics.

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Curricular information is subject to change

Learning Outcomes:

On completion of this module students will be able to: (a) correctly discuss key concepts of analytical sociology, with particular focus on network analysis and (b) perform basic descriptive network analysis.

Student Effort Hours: 
Student Effort Type Hours
Lectures

20
Autonomous Student Learning

103
Total

123
Approaches to Teaching and Learning:
(1) inquiry-driven / task-based case studies;
(2) stimulation of curiosity and learning independence;
(3) development of topic-specific critical thinking; 
Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Essay: essay Unspecified n/a Graded No

65
Multiple Choice Questionnaire: MCQ2 Unspecified n/a Graded No

20
Multiple Choice Questionnaire: MCQ1 Unspecified n/a Graded No

15

Carry forward of passed components
No
 
Resit In Terminal Exam
Autumn No
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
 
Spring
      
Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 31, 32, 33 Fri 13:00 - 13:50
Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 26, 29, 30, 31, 32, 33 Tues 13:00 - 13:50
Spring