inf540 Applications in Artificial Intelligence (Course overview)

inf540 Applications in Artificial Intelligence (Course overview)

Department of Computing Science 6 KP
Module components Semester courses Wintersemester 2022/2023 Examination
Lecture
Exercises
Hinweise zum Modul
Prerequisites

None
Further information

Module Capacity:
unrestricted
Method of assesment

Portfolio
Exam dates

Am Ende der Vorlesungszeit
Learning outcomes/competencies

Upon successful completion of the course students should have acquired the ability to master the presented methods safely in theory and practice. The students solve practical problems in the area of ​​AI by themselves in a goal-oriented manner.

Professional competence
The students know about

  • construction and handling of robotics systems
  • 3D orientation (SLAM – self orientation and mapping)
  • route Planning
  • route optimization and general optimization procedures
  • handling and testing of autonomous systems
  • handling of hardware
  • application of known libraries of machine perception
  • openCV
  • tensorFlow

Methodological competenceThe students

  • discuss critical solution approaches and method selection
  • deepen programming skills
  • learn how to handle hardware systems

Social competence
The students

  • develop the solutions independently in small groups
  • evaluate their own solutions and compare them with those of your fellow students


Self-competence
The students

  • develop your own solution approaches
  • reflect other approaches
  • create your own project and timetables
  • recognize your own limits