Completed Lecture Evaluations
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We take the evaluation of our lectures, exercises, and labs very serious and we publish - as you can see below - all our evaluation results. Thus, we really appreciate if you take the time and fill out the evaluation forms that are distributed within our lectures. Thank you to those of you who already participated in one of our evaluations. Gerhard Schmidt |
Adaptive Filters
| Details | Date of the evaluation | Average mark of the lecture | Average mark of the exercise | Number of votings |
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Summer term 2022 | 1.4 | 1.4 | 6 |
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Summer term 2021 | 1.3 | 1.2 | 15 |
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Summer term 2020 | 1.5 | 1.2 | 14 |
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Summer term 2019 | 1.7 | 2.3 | 14 |
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Summer term 2017 | 1.5 | 1.7 | 13 |
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Summer term 2016 | 1.7 | 1.5 | 9 |
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Summer term 2015 | 1.9 | 2.0 | 4 |
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Summer term 2013 | 1.7 | 1.6 | 5 |
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Summer term 2012 | 1.4 | 2.1 | 9 |
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Summer term 2011 | 1.4 | 1.7 | 2 |
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The blue line shows the average mark of the lecture, the red line the one of the exercise. Corresponding links:
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Advanced Digital Signal Processing
| Details | Date of the evaluation | Average mark of the lecture | Average mark of the exercise | Number of votings |
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Winter term 2021/2022 | 1.3 | 1.8 | 9 |
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Winter term 2020/2021 | 1.7 | 1.9 | 12 |
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Winter term 2019/2020 | 1.2 | 1.2 | 5 |
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Winter term 2018/2019 | 1.3 | 1.9 | 9 |
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Winter term 2017/2018 | 1.6 | 1.9 | 14 |
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Winter term 2016/2017 | 1.3 | 1.4 | 1 |
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Winter term 2015/2016 | 1.3 | 1.4 | 6 |
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Winter term 2014/2015 | 1.5 | 2.3 | 4 |
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Winter term 2013/2014 | 2.1 | 2.2 | 8 |
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Winter term 2012/2013 | 2.0 | 2.4 | 5 |
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Winter term 2011/2012 | 2.2 | 3.3 | 3 |
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Winter term 2010/2011 | 1.3 | 1.9 | 2 |
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The blue line shows the average mark of the lecture, the red line the one of the exercise. Corresponding links:
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Digital Signal Processing
| Details | Date of the evaluation | Average mark of the lecture | Average mark of the exercise | Number of votings |
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Summer term 2022 | 1.4 | 1.7 | 3 |
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Summer term 2021 | 1.3 | 1.7 | 7 |
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Summer term 2020 | 1.7 | 1.6 | 9 |
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Summer term 2019 | 1.7 | 1.6 | 5 |
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Summer term 2017 | 1.6 | 1.2 | 5 |
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Summer term 2016 | 1.3 | 1.7 | 3 |
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Summer term 2015 | 1.4 | 2.0 | 2 |
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Summer term 2014 | 1.6 | 2.0 | 7 |
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Summer term 2013 | 1.7 | 1.9 | 14 |
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Summer term 2012 | 1.7 | 1.6 | 5 |
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Summer term 2011 | 1.7 | 2.1 | 4 |
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The blue line shows the average mark of the lecture, the red line the one of the exercise. Corresponding links:
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Pattern Recognition and Machine Learning
| Details | Date of the evaluation | Average mark of the lecture | Average mark of the exercise | Number of votings |
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Winter term 2021/2022 | 1.5 | 1.3 | 10 |
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Winter term 2020/2021 | 1.8 | 1.9 | 16 |
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Winter term 2019/2020 | 1.7 | 2.1 | 9 |
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Winter term 2018/2019 | 1.5 | 2.1 | 10 |
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Winter term 2017/2018 | 1.6 | 1.7 | 16 |
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Winter term 2016/2017 | 1.6 | 1.8 | 11 |
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Winter term 2015/2016 | 1.5 | 2.1 | 5 |
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Winter term 2014/2015 | 1.4 | 1.4 | 8 |
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Winter term 2013/2014 | 1.6 | 1.8 | 5 |
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Winter term 2012/2013 | 1.8 | 1.8 | 5 |
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Winter term 2011/2012 | 1.5 | 1.9 | 4 |
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Winter term 2010/2011 | 1.7 | 2.1 | 3 |
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The blue line shows the average mark of the lecture, the red line the one of the exercise. Corresponding links:
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Signals and Systems I
| Details | Date of the evaluation | Average mark of the lecture | Average mark of the exercise | Number of votings |
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Summer term 2022 | 1.6 | 1.8 | 20 |
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Summer term 2021 | 1.5 | 1.6 | 15 |
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Summer term 2020 | 1.9 | 2.1 | 14 |
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Summer term 2019 | 1.8 | 1.9 | 26 |
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Summer term 2017 | 2.0 | 2.0 | 32 |
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Summer term 2016 | 1.6 | 1.8 | 20 |
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Summer term 2015 | 1.4 | 1.5 | 11 |
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Summer term 2014 | 1.4 | 1.5 | 14 |
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Summer term 2013 | 1.3 | 1.3 | 26 |
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Summer term 2012 | 1.9 | 1.9 | 21 |
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Summer term 2011 | 2.2 | 1.8 | 18 |
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The blue line shows the average mark of the lecture, the red line the one of the exercise. Corresponding links:
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Signals and Systems II
| Details | Date of the evaluation | Average mark of the lecture | Average mark of the exercise | Number of votings |
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Winter term 2021/2022 | 1.6 | 1.6 | 7 |
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Winter term 2020/2021 | 1.3 | 1.9 | 16 |
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Winter term 2019/2020 | 2.1 | 1.8 | 25 |
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Winter term 2018/2019 | 2.3 | 2.2 | 25 |
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Winter term 2017/2018 | 2.0 | 1.9 | 28 |
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Winter term 2016/2017 | 1.8 | 2.1 | 16 |
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Winter term 2015/2016 | 1.4 | 1.6 | 20 |
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Winter term 2014/2015 | 1.8 | 1.9 | 10 |
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Winter term 2013/2014 | 1.5 | 1.4 | 26 |
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Winter term 2012/2013 | 1.3 | 1.3 | 26 |
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Winter term 2011/2012 | 2.2 | 1.7 | 8 |
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Winter term 2010/2011 | 2.1 | 1.7 | 14 |
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The blue line shows the average mark of the lecture, the red line the one of the exercise. Corresponding links:
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Karolin Krüger was one of the four winners of the EmpowerMINT awards this year. With this price our university aims to honour particular achievements by female students and female graduates in Mathematics, IT, Natural Sciences and Technology, known as the MINT subjects. Congratulations from the whole DSS team.Karolin obtained the award for her master thesis on automatic evaluation of speech parameters which is very useful if one wants to monitor the impact on different speech therapies (e.g. for Parkinson patients) in a robust, reliable, and objective manner. She will continue with this topic (and extensions of it) as her PhD work in our group.