The topic and presented methods.
Practical applications (programming assignments). Insight to current research
Everything was put into relation to current research topics.
Topics were visualized very well: lots of examples graphs, videos, animations; Exercises were a good mixture of practical programming and theoretical tasks; Inclusion of current research and the work of the group of Prof. Behnke
Working with many examples, state of the art topics
each assignment has the same number of points it was clear that we have to reach 100%, short rev. of the last lecture
The topic.
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Filters part (Kalman, EKF.), Open perspectives chapters (Vision, learning method applied to vision systems).
real problem of Robotic, Kalman filter, partienle filter
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Topics.
The exercises were useful to understand the lecture.
Good overview over different topics of Robotics
I liked that we gave our solutions for the exercises on Tuesday and we could discuss them on Thursday of the same week. This was a very good rythm for us undestanding better the theory of the week.

The presentation of the methods and the explanation. The script should be completely edited! details are missing, explanations are missing
The slides are only lecture slides, and not suitable for learning. Use of extended resources is necessary.
Spend less time revising basic probability theory. More textual explanations to accompany puctures on the slides. Better formulation of assignment sheets.
The lecture slides could have more text to better understand the topic at home.
limit the amount of different topics/aspects; exercises were partially too hard; had to do much research online in order to solve them
fewer programming exercises
better assignments which give a feeling what could be ask in the exam, not so many programming tasks, knowing before how many points for paper assignmentss and how many for programms
Presentation of topics and course slides.
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More precise explanations on how to work well a certain method
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More examples and study material to understand easily what to do in the exercises
The enthusiasm of the lecturer. The clarity of the formulation of the exercises., especially for programming ones.