Stud.IP Uni Oldenburg
University of Oldenburg
07.06.2023 23:38:19
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
Skills to be acquired in this module
**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 competence** The 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

wissenschaftlichen Veröffentlichungen mit den Tags:

Autonomous drone, robotics, ai, deep drone racing

Siehe:  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 Winter
Module capacity unlimited
Modullevel / module level AC (Aufbaucurriculum / Composition)
Modulart / typ of module Wahlmodul / Opportunity
Lehr-/Lernform / Teaching/Learning method VL mit selbstständigen Praktikumsteil
Vorkenntnisse / Previous knowledge Einführung in die Künstliche Intelligenz (inf530)
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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