CSOC30030 Advanced Computational Social Science

Academic Year 2023/2024

This module provides deeper insight into key theoretical and methodological challenges of computational social science through the use of agent-based social simulation. Students will systematically explore key questions and decisions pertaining to the different phases of a simulation life cycle, from conceptualisation to validation of a computational model. Emphasizing hands-on learning, the course enables students to explore existing models and empowers them to craft their own simulations.

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Curricular information is subject to change

Learning Outcomes:

On completion of this module, students will be able to:
- Identify basic methodological features of agent-based modelling.
- Explain what problems are better suited to be studied through computer simulation.
- Manipulate code and parameters in computational models.
- Design novel computational approaches to social phenomena.

Student Effort Hours: 
Student Effort Type Hours
Lectures

24
Autonomous Student Learning

128
Total

152
Approaches to Teaching and Learning:
- Lectures
- Task-based learning
- Project-based learning
- Group work
- Student presentations
 
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
Continuous Assessment: In- and out-of-class activities centred on the coding, manipulation, and interpretation of agent-based models. Throughout the Trimester n/a Graded No

40
Group Project: Collaborative design of a potential modification or extension for an agent-based model. Week 12 n/a Graded No

60

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

• Feedback individually to students, post-assessment
• 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, 30, 31, 32, 33 Fri 09:00 - 09:50
Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Thurs 15:00 - 15:50
Spring