|Course level||Advanced Bachelor, open to PhD staff and professionals|
|Recommended course combination||Session 1: Big Data in Society, Data Anlysis in R|
Session 3: Big Data Management in Linux
||20 July to 3 August 2019
|Co-ordinating lecturer||Dr. Ellen Maassen MSc|
|Other lecturers||To be announced|
|Form(s) of tuition||Seminars, reading, lectures, project work, group activities, writing|
|Form(s) of assessment||Homework exercises, essay|
On this course you learn to look with the eyes of a computer scientist, to understand the potential and limitations of computing and to apply these insights to such topics as social networks, biological processes, language and consciousness.
Specific subjects we investigate are:
• The science of algorithms, their power, universality and limits. This includes some programming, but for the most part you explore algorithmics away from the computer.
• The science of data: encoding, compression and pattern recognition.
• Taming complexity: dividing the problem, the search as a general heuristic and quantum computing.
• Computing and philosophy: the ethics of big data and AI, free will and consciousness.
• Have an informed discussion on ethical issues around big data and AI
At the end of this course, you: