At the end of the course, you are able to:
- ILO1: Design a research plan to analyze a social problem with computational means
- ILO2: Design and test ethical guidelines for a social computing problem
- ILO3: Learn to use multiple approaches to social data, and apply them to a problem successfully
- ILO4: Combine social science methodologies with computational methodologies for addressing problems where large scale data collection may provide insights
- ILO5: Learn to present work using a scientific language and with scientific rigour
Assessment
The four parts that contribute to your final grade are:
- Discussion questions: 25 points (individual) –[required: 12 points is required]
- Student presentations: 10 points (group) – [required: 5 points]
- Term Project paper and presentation: 40 points (group) – [required: 20 points]
- Final exam: 25 points (individual) – [required: 10 points]
Regarding the repair of a test:
- Final exam. It is possible to repair the final exam grade up to 5.5, but only if 4.0 <= final exam grade < 5.5.
- Discussion question assignments. It is not possible to repair the discussion question assignments.
- Paper presentations. It is not possible to repair the paper presentation.
- Term Project. It is not possible to repair the term project. However, if you pass the requirements of the individual assignments of the course, you will be exempt from them when you re-take the course and will only be responsible for the term project.
You cannot do a repair test if you missed more than one assessment.
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Social Computing can be broadly defined as ‘computational facilitation of social studies and human social dynamics as well as the design and use of ICT technologies that consider social context’ (Wang et al., 2007).
Watt argues that ‘if handled appropriately, data about Internet-based communication and interactivity could revolutionize our understanding of collective human behaviour.’ (Watts, 2007).
If you like to apply computational approaches to social phenomenon and problems with the aim of bringing a broader perspective to social problems, this course is your first step.
The course provides you with knowledge of various methodologies used within the spare of social computing.
Course format
Online lectures, discussion sessions, team work.
Students are expected to attend each lecture.
Literature
The course literature consists of assigned papers, all of which will be made available in Microsoft Teams. Every lecture has two to four assigned readings, as well as one discussion paper.
Students are expected to have read the papers before the class.
See the course schedule for the list of assigned readings for each class. Some readings are marked as "additional readings," and exempted from the exam, but made available for students who would like to continue studying the particular subject at greater depth.
Course information, course documents and assignments for in-class discussion will be posted on Microsoft Teams prior to the class meeting. Lecture slides will be made available after each lecture.
The online lectures as well as student presentations will be recorded, and made available via Teams after the lecture.
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