inf530 - Artificial Intelligence (Course overview)

inf530 - Artificial Intelligence (Course overview)

Department of Computing Science 6 KP
Module components Semester courses Summer semester 2024 Examination
Lecture
Exercises
Hinweise zum Modul
Prerequisites
  • Basic knowledge of computer science/business informatics
Prüfungszeiten

At the end of the lecture period

Module examination

Written or oral exam

Skills to be acquired in this module

The students are familiar with the basic concepts of artificial intelligence (AI). They know the concept of rational agents and their behavior. They know how to implement expert systems.They also know basic search and problem solving techniques as well as techniques of knowledge representation. The students can compare different problem solving techniques and use them within other problem contexts. Professional competence
The students:

  • describe the concept of rational agents and their behavior in an agent environemt
  • name and describe the basic search and problem solving techniques of Artificial Intelligence
  • describe and implement expert systems
  • describe basic techniques of knowledge representation

Methodological competence
The students:

  • acknowledge the basic methods of AI
  • transfer AI methods to other application areas
  • evaluate AI methods regarding their appropriateness for destinct problem areas
  • modify and adapt AI methods for specific application areas

Social competence
The students:

  • work in teams
  • present results to groups

Self-competence
The students:

  • reflect their results with regard to the methods of AI