Teaching

Winter 2021/2022

  • Proseminar: Selected topics in 5G and storage solutions (Bachelor, Seminar)
    Learning outcomes and competencies:
    - The participants know the specifics of writing in computer science and related fields of study in comparison to other disciplines and text types.
    - The participants know different techniques and can transfer them accordingly in order to formulate their own texts more comprehensibly and to make them accessible for a reader.
    - The participants are able to extract relevant information from scientific texts quickly and in a target-oriented manner.
    - The participants are able to communicate a complex and complicated topic in a comprehensible and condensed way and in a short time to an expert audience. \

Summer 2020

  • Cooperative Mobile Systems [CMS] (Master, UE)
    Students will be able to understand how vehicle-to-everything communication can serve as the basis for applications enabling cooperation among trucks, cars, bikes, pedestrians, and cities. They will also be able to apply this knowledge to the design of future cooperative mobile systems - both in theory and in practice.
  • Project Group on Cooperative Mobile Systems [PG2] (Master, PG)
    In the course of the project group, attendants will refine their skills of quickly familiarizing themselves with an active research process, investigating new concepts in a small group of students.

Winter 2019/2020


Summer 2019

  • Cooperative Mobile Systems [CMS] (Master, UE)
    Students will be able to understand how vehicle-to-everything communication can serve as the basis for applications enabling cooperation among trucks, cars, bikes, pedestrians, and cities. They will also be able to apply this knowledge to the design of future cooperative mobile systems - both in theory and in practice.
  • Project Group on Cooperative Mobile Systems [PG2] (Master, PG)
    This project group is a mix of simulations, real hardware experiments, and protocol design. The objective is to implement a simulator for the GoPiGo3 robotics kits and to validate the simulator in a simple intersection maneuver assistance application for cooperative autonomous cars.
    First, the simulator needs to be implemented based on key characteristics, behaviors and functions of the physical robotics kits. Furthermore, it is important to be able to model the physical layout of the scenario. This mainly includes obstacles. The simulator will be implemented in Python, which is also used for the GoPiGo3 hardware programming - so in the end it an application will be able to run (without any changes) in either the simulator or on a real robot. For this, it is also important to be able to use sensors in the simulators: our current setup of the GoPiGo robots has line following and distance sensors.
    Second, a simple intersection maneuver assistance application will be designed. Robots will meet at an intersection, coordinate among each other who can go first and when, and then cross the intersection without crashing (and, ideally, without having to stop).

Winter 2018/2019

  • Project Group on Cooperative Mobile Systems [PG2] (Master, PG)
    This project group is a mix of simulations, real hardware experiments, and protocol design. The objective is to implement a simulator for the GoPiGo3 robotics kits and to validate the simulator in a simple intersection maneuver assistance application for cooperative autonomous cars.
    First, the simulator needs to be implemented based on key characteristics, behaviors and functions of the physical robotics kits. Furthermore, it is important to be able to model the physical layout of the scenario. This mainly includes obstacles. The simulator will be implemented in Python, which is also used for the GoPiGo3 hardware programming - so in the end it an application will be able to run (without any changes) in either the simulator or on a real robot. For this, it is also important to be able to use sensors in the simulators: our current setup of the GoPiGo robots has line following and distance sensors.
    Second, a simple intersection maneuver assistance application will be designed. Robots will meet at an intersection, coordinate among each other who can go first and when, and then cross the intersection without crashing (and, ideally, without having to stop).

Summer 2018

  • Cooperative Mobile Systems [CMS] (Master, UE)
    Students will be able to understand how vehicle-to-everything communication can serve as the basis for applications enabling cooperation among trucks, cars, bikes, pedestrians, and cities. They will also be able to apply this knowledge to the design of future cooperative mobile systems - both in theory and in practice.
  • Network Simulation [NwSim] (Master, UE)
    The learning objective is to unserstand the fundamental concepts of network simulation. Students understand these concepts and are able to apply this knowledge.