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CSOC30030

Academic Year 2024/2025

Advanced Computational Social Science (CSOC30030)

Subject:
Computational Social Science
College:
Social Sciences & Law
School:
Sociology
Level:
3 (Degree)
Credits:
5
Module Coordinator:
Dr David Anzola
Trimester:
Spring
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

This module uses agent-based social simulation to expand on the contents of CSOC2001 and provide further insights into the professional practice of computational social science. Students will engage in a semester-long group project in which they will systematically explore key questions and decisions pertaining to the development of a conceptual model and the way in which this model affects subsequent phases of the simulation life cycle. Emphasising hands-on experiential learning, the course enables students to explore existing models and empowers them to craft their own simulations. It also encourages them to critically reflect on the knowledge and skills required to thrive in the contemporary computational social science workplace.

About this Module

Learning Outcomes:

On completion of this module, students will be able to:
• Understand the phases of the simulation life cycle.
• Critically design computational models.
• Reflect on the skills and knowledge involved in the professional practice of computational social science.
• Assess determinants of performance in computational social science projects.

Student Effort Hours:
Student Effort Type Hours
Lectures

24
Specified Learning Activities

45
Autonomous Student Learning

70
Total

139

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 Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Participation in Learning Activities: Continuous assessment including in- and out-of-class activities centred on: (i) the manipulation and interpretation of computer simulations and (ii) the collaborative design of a model. Week 4, Week 5, Week 6, Week 7, Week 8, Week 9, Week 10 Standard conversion grade scale 40% No
40
 No
Group Work Assignment: Group project centred on the collaborative design of an agent-based model. This assessment includes written reports and an oral presentation. Week 7, Week 11, Week 12 Standard conversion grade scale 40% No
60
 No

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.

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