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Curricular information is subject to change
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 Type | Hours |
---|---|
Lectures | 24 |
Autonomous Student Learning | 128 |
Total | 152 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
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 |
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 |
Resit In | Terminal Exam |
---|---|
Autumn | No |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
Not yet recorded.