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CSOC30030

Academic Year 2022/2023

Advanced Computational Social Science (CSOC30030)

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

Curricular information is subject to change.

This course gives you a detailed insight into the computational methods used to mine digital traces of data left by human beings at scale thereby enabling a study of society and how it works. Mainly this course aims to equip students with the skills necessary to utilise computational power for the detection of hidden patterns in social data to address many important questions in social science.

About this Module

Learning Outcomes:

On completion of this module, students will be able to
 Ask social science questions and be able to answer them by collecting data from digital sources such as the web of social media sites
 Perform exploratory data analysis and make use of machine learning algorithms (including text-based ones) to arrive at a conclusion for a social science research question

Student Effort Hours:
Student Effort Type Hours
Autonomous Student Learning

128
Lectures

24
Total

152

Approaches to Teaching and Learning:
Continues assessment and in-class activity.

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 In Module Component Repeat Offered
Group Project: Group project where students pick a research question relevant to social science, collect their
own dataset and apply EDA plus machine learning for answering the research questions		 Week 12 n/a Graded Yes
60
 Yes
Continuous Assessment: Bi-weekly or tri-weekly assignments with a dataset provided to answer a social science research question Throughout the Trimester n/a Graded No
40
 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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