Neurorobotics Research Laboratory

Teaching

Since 2002, regular seminars and lectures are offered on the topics with which we deal in the Neurorobotics Research Laboratory. Most members of the team joined us after attending one of the courses listed below. The contents offered there provide the ideal basis to deal intensively with the complex issues of neurorobotics. This is also reflected in the many fruitful student projects and theses, which were conducted and supervised in the laboratory for robotics and neuroscience.

Since 2018, the bachelors course Humanoid Robotics exists. The team of the Neurorobotics Research Laboratory is heavily involved and takes over numerous courses.

WS 2021/2022

  • Humanoid Robotics (5. Semester)
  • Maschine Learning (5. Semester)
  • Reactive Robotics (1. Semester)
  • Electronc components and basic circuits (1. Semester)

SS 2021

  • Adaptive Systems (4. Semester)
  • System analysis and modelling (4. Semester)
  • Selected interdisciplinary topics (4. Semester)
  • Electrical and mechanical measurement technology (2. Semester)
  • Sensomotorics (2. Semester)

WS 2020/2021

  • Humanoid Robotics (5. Semester)
  • Maschine Learning (5. Semester)
  • Reactive Robotics (1. Semester)
  • Electronc components and basic circuits (1. Semester)

SS 2020

  • Adaptive Systems (4. Semester)
  • System analysis and modelling (4. Semester)
  • Selected interdisciplinary topics (4. Semester)
  • Electrical and mechanical measurement technology (2. Semester)
  • Sensomotorics (2. Semester)

WS 2019/2020

  • Kognitive Robotics (3. Semster)
  • Reactive Robotics (1. Semester)
  • Electronc components and basic circuits (1. Semester)

SS 2019

  • Sensomotorics (2. Semester)
  • Electrical and mechanical measurement technology (2. Semester)
  • Maintenance and repair of robots (2. Semester)

WS 2018/2019

  • Reactive Robotics (1. Semester)
  • Electronc components and basic circuits (1. Semester)
  • Construction and technical drawing (1. Semester)

SS 2018

  • Digital Electronics (lecture and tutorial)
  • Design of digital systems in VHDL (lecture and excercises)
  • Cognitive Robotics (lecture and excercises)

Winter 2017/2018

  • Digital Electronics (lecture and tutorial)
  • Design of digital systems in VHDL (lecture and excercises)
  • Cognitive Robotics (lecture and excercises)
  • Programming in C (excercises)

SS 2017

  • Digital Electronics (lecture and tutorial)
  • Design of digital systems in VHDL (lecture and excercises)
  • Cognitive Robotics (lecture and excercises)

Winter 2016/2017

  • Digital Electronics (lecture and tutorial)
  • Design of digital systems in VHDL (lecture and excercises)
  • Cognitive Robotics (lecture and excercises)
  • Programming in C (excercises)

SS 2016

  • Digital Electronics (lecture and tutorial)
  • Design of digital systems in VHDL (lecture and excercises)
  • Cognitive Robotics (lecture and excercises)

Winter 2015/2016

  • Digital Electronics (lecture and tutorial)
  • Design of digital systems in VHDL (lecture and excercises)
  • Cognitive Robotics (lecture and excercises)
  • Programming in C (excercises)

Summer 2015

  • Digital Electronics (lecture and tutorial)
  • Design of digital systems in VHDL (lecture and excercises)

Winter 2014/2015

  • Digital Electronics (lecture)
  • Design of digital systems in VHDL (lecture and excercises)

SS 2014

  • Autonomous Systems (lecture) (German University in Cairo, Berlin)

WS 2013/2014

  • Basics of information processing II (lecture and excercises) (Otto-von-Guericke-Universität Magdeburg)
  • Robotics (lecture and excercises) (Freie Universität Berlin)

WS 2012/2013

  • Robotics (lecture and excercises) (Freie Universität Berlin)

Summer 2012

Winter 2011/2012

  • Methods of Neuroinformatics

Winter 2010/2011

  • Mathematical basics of humanoid robotics

Summer 2009

  • Mathematical basics of perception and sensorimotorics (lecture and excercises)

Summer 2008

  • Evolution and robotics (seminar)
  • Mathematical basics of perception and sensorimotorics (lecture and excercises)

Winter 2007/2008

  • Mathematical basics of digital sound analysis and synthesis (lecture and exercises)

Summer 2007

  • Mathematical basics of perception and sensorimotorics (lecture and excercises)

Winter 2006/2007

  • Cognitive robotics (parts of lecture and exercises)

Summer 2006

  • Modern methods of AI (parts of exercises)

Winter 2005/2006

  • Autonomous robots and neural networks (seminar)
  • Computer music (seminar)
  • Cognitive robotics (parts of lecture and execises)

Winter 2003/2004

  • Evolution and robotics III (seminar)
  • Cognitive robotics II (parts of lectures and execises)

Summer 2003

  • Evolution and robotics II (seminar)
  • Cognitive robotics I (parts of lecture and exercises)

Winter 2002/2003

  • Evolution and robotics I (seminar)

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