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 2023 | 1.5 | 1.8 | 6 |
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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 2022/2023 | 1.8 | 2.8 | 13 |
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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 2022/2023 | 1.5 | 1.8 | 6 |
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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 2023 | 1.5 | 1.9 | 13 |
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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 2022/2023 | 1.9 | 1.9 | 15 |
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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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In the first week of September, we were delighted to host Dr. Isabel Schiller, an early-career researcher from RWTH Aachen University's Work and Engineering Psychology Lab. Isabel is a Clinical Linguist, holds a PhD in Psychology, and is passionate for auditory cognition and voice research. Together, we've embarked on a collaborative endeavor centered around auditory feedback modulation. Our goal is to develop and assess a real-time voice modification system, designed to explore vocal motor control in both healthy speakers and those with voice disorders. As we joined forces this week, we laid the groundwork for the technical implementation of our project and prepared the upcoming launch of our first experiment at RWTH Aachen University. Interdisciplinary collaborations like this one highlight the importance of merging knowledge from different domains, not only for advancing cutting-edge research but also for fostering an enjoyable and enriching experience.