inf540 - Applications in Artificial Intelligence (Complete module description)
| 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 |
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| Responsible persons |
Sauer, Jürgen (Module responsibility)
Lehrenden, Die im Modul (Authorized examiners)
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| 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
- 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 racingSiehe: 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 | |
| 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 |
|---|---|---|---|---|
| Lecture | 2 | WiSe | 28 | |
| Exercises | 2 | WiSe | 28 | |
| Total time of attendance for the module | 56 h | |||
| Examination | Time of examination | Type of examination | |
|---|---|---|---|
| Final exam of module |
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Portfolio |