Stud.IP Uni Oldenburg
University of Oldenburg
14.08.2022 07:34:51
inf540 - Applications in Artificial Intelligence (Complete module description)
Original version English Download as PDF
Module label Applications in Artificial Intelligence
Module code inf540
Credit points 6.0 KP
Workload 180 h
Institute directory Department of Computing Science
Applicability of the module
  • Bachelor's Programme Business Informatics (Bachelor) > Akzentsetzungsbereich Praktische Informatik und Angewandte Informatik
  • Bachelor's Programme Computing Science (Bachelor) > Akzentsetzungsbereich - Wahlbereich Informatik
Responsible persons
Sauer, Jürgen (Module responsibility)
Lehrenden, Die im Modul (Authorized examiners)
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
Reader's advisory

wissenschaftlichen Veröffentlichungen mit den Tags:

Autonomous drone, robotics, ai, deep drone racing

Language of instruction German
Duration (semesters) 1 Semester
Module frequency
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)
Course type Comment SWS Frequency Workload of compulsory attendance
2 WiSe 28
2 WiSe 28
Total time of attendance for the module 56 h
Examination Time of examination Type of examination
Final exam of module

Am Ende der Vorlesungszeit