Social Computing is an area of computer science that is concerned with the intersection of social behavior and computational systems. It is based on creating or recreating social conventions and social contexts through the use of software and technology. We will address social computing infrastructures, social computing engineering processes, computational social science, in particular recommender systems and community detection, crowdsourcing, collective intelligence, the dark web, mixed reality, mobile social computing, science 2.0 and advanced topics.
| Type | Lecture |
| Term | SS 2022 |
| Starting | 04.04.2022 at 2:30pm |
| Mentor(s) |
Ralf Klamma |
| Assistant(s) |
Alexander Neumann |
| 1st Exam Date | 28.07.2022 at 2:00pm Room: TEMP1 (1515|001) |
| 2nd Exam Date | 30.08.2022 at 2:00pm Room: HKW 1 (1132|203), amazon- Hörsaal (H06) (1385|004) |
| Moodle |
visit |
| First Weekly Day |
Monday at 2:30pm Room: 2356 | 053.2 |
| Second Weekly Day |
Friday at 2:30pm Room: 2356 | 053.2 |
The course has the following outline.
- Computational Social Science (Algorithms)
- Applications Areas of Social Computing (Pragmatics)
- The Web as Social Computing Platform (Infrastructures)
- The Social Computing Development Process (Engineering)
- Advanced Social Computing Topics (Advanced Topics)
Prerequisites:
Student should have basic knowledge in
- Linear algebra
- Statistics
- Probability theory
- Graph theory
- Web engineering
- Web design
- DevOps