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Digital Tools and Knowledge Processes, 7.5 credits

Course information

Research Education Subject

  • Informatik

Course Syllabus

Course Syllabus

Contacts

Course content

The course aims to develop the doctoral student in the field of knowledge representation in machines, including practices, history and philosophy.

The course includes:

  • Seminar discussion of the required reading;
  • Experiment with a modified version of the Turing test and including interaction between intelligent agents in a game-theoretical context. The student will also explore these concepts by conducting similar exercises with undergraduate students;
  • Empirical studies on the topic: "How intelligent are modern IT systems/services?"; How to present/communicate information/knowledge to users? Surveys are conducted preferably in teaching environments.

Intended course learning outcomes

To obtain a passing grade, the doctoral student shall demonstrate:

  1. Fundamental knowledge of the history, philosophy, and techniques pertaining to knowledge representation in machines.
  2. Understanding the similarities and differences between communication and knowledge transfer between machine-machine, machine-human and human-human.
  3. Ability to apply these ideas in complex situations where more than two parties are involved, e.g. computer-supported collaboration in teams.
  4. Ability to apply these concepts in an educational context.