inf540 - Applications in Artificial Intelligence (Complete module description)

inf540 - Applications in Artificial Intelligence (Complete module description)

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Module label Applications in Artificial Intelligence
Modulkürzel inf540
Credit points 6.0 KP
Workload 180 h
Institute directory Department of Computing Science
Verwendbarkeit des Moduls
  • Bachelor's Programme Business Informatics (Bachelor) > Akzentsetzungsbereich Praktische Informatik und Angewandte Informatik
  • Bachelor's Programme Computing Science (Bachelor) > Akzentsetzungsbereich - Wahlbereich Informatik
Zuständige Personen
  • Sauer, Jürgen (module responsibility)
  • Lehrenden, Die im Modul (Prüfungsberechtigt)
Prerequisites

None
Skills to be acquired in this module

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
Module contents

In the module "Applications of Artificial Intelligence" the students should gain practical experience in the field of artificial intelligence. The learning objectives should be developed by the students in working groups of 4-5 participants. Simple Robotics systems e.g. in the area of autonomous driving or software simulating AI methods will be developed
Literaturempfehlungen

Scientific publications with the tags:
Autonomous drone, robotics, ai, deep drone racing.

See: https://scholar.google.de/scholar?hl=de&as_sdt=0%2C5&q=deep+drone+racing&btnG=
Links

https://www.iros2019.org/
Language of instruction German
Duration (semesters) 1 Semester
Module frequency every winter term
Module capacity unlimited
Teaching/Learning method V with independent practical part
Form of instruction Comment SWS Frequency Workload of compulsory attendance
Lecture 2 WiSe 28
Exercises 2 WiSe 28
Präsenzzeit Modul insgesamt 56 h
Examination Prüfungszeiten Type of examination
Final exam of module

Am Ende der Vorlesungszeit

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