Big Data and algorithmic systems
What you should know:
Big Data and algorithmic systems
Important content that should be taught in this learning unit:
- The principle of performance against data (see chapter 2.2.2 Nothing is for free).
- Basic understanding of what information social media platforms have collected from us (see chapter 2.2.7 Examples Google & Facebook - What they know about us)
- Understanding of how data from social media can be used for specific purposes (see chapter 2.2.9 Example "Cambridge Analytica": Creation of personality images).
- Data can also unknowingly reveal information (see chapter 2.2.10 Example "Strava"; risks with public data)
- Raising awareness of the possible use of large amounts of data in connection with algorithmic systems.
- Example of predictive policing
- Example social credit system (see chapter 2.2.6 Social credit systems)
Exercises on the topic in the CUMILA WIKI:
- CUMILA Wiki Exercise c2L06 - Tell-tale receipt.
- CUMILA Wiki exercise c2L07 - Personalised advertising
- CUMILA Wiki exercise c2L08 - Big Data
Read the relevant chapters in the module and, if necessary, work on the exercises mentioned yourself or prepare them for your lessons.