Current Topics in Data Engineering

Schedule Current Topics in Data Engineering 2019 

Tu   3. 9.  2019   9:45    Stefan Kettemann,  Introduction,  Lecture Hall Research III

Fr    13. 9.            9:45  Katja Windt,  Dirk Lieftucht, SMS  Digital  Lecture Hall Research II

SMS Data Challenge 3.0

Data Science meets Steel Industry – an exciting match of heavy metal and high tech

for details click on the DE Blog

Tu 17. 9. 2019    9:45  Marc-Thosten Hütt, Bio-Informatics and Systems Biology, Lecture Hall Research III

Fr  20. 9.           9:45  Peter Zaspel, Machine Learning in Scientific Computing,   Lecture Hall Research II

Further references:

• a rather readable introduction to kernel-based learning: https://pdfs.semanticscholar.org/2eb2/ca05a79d1d81033237aad416ad4a1ce90a70.pdf
• nicely readable book on kernel-based methods: https://www.worldscientific.com/worldscibooks/10.1142/6437
• an overview article about Kernel-based ML in Quantum Chemistry:  https://arxiv.org/pdf/1109.2618.pdf
• my recent work on multi-fidelity methods: https://pubs.acs.org/doi/10.1021/acs.jctc.8b00832
  
  

Tu 24. 9. 2019   9:45 Agostino Merico, Analysis of Complex Ecological and Social Systems, Lecture Hall Research III    (For Presentation slides see child page on the left)           

Fr  27. 9.           9:45    Peter Baumann, Analytics on Big Data Cubes in Science and Engineering  Lecture Hall Research II 

Tu 1. 10. 2019    9:45   Lecture Hall Research III    Tutorial  on  Writing the term paper and Preparing  the Poster  Lecture Hall Research III

Fr 4.10.             9:45      Lecture Hall Research II      no lecture

Tu 8. 10. 2019    9:45 Lecture Hall Research III   Adalbert F. X. Wilhelm  Feature engineering for sensor data

Fr  11.10.          9:45   Lecture Hall Research II  no lecture

Tu 15. 10. 2019    9:45 Lecture Hall Research III: Vikram Unnithan, Angelo Pio Rossi, Joachim Vogt,  Earth and Space Sciences: Big Geo-data - link to slides HERE

Fr  18.10.          9:45  Lecture Hall Research II   Stefan Kettemann, Data Engineering for the Energy Transition

Tu 22.10.          9:45    Lecture Hall Research III

Fr   25.10.           9:45    HR Forecast,  Data Engineering in NLP  Lecture Hall Research II

Tu   29.10.           9:45   Giuseppe Abreu, Communication Theory Lecture Hall Research III

Tu  29.10.   14.00-15:30      Sergey Kosov, Machine Learning in Computer Vision  Lecture Hall, R. 53 in Research I

Tu 19.11.        9:45 Hans Pfeiffenberger, Alfred Wegener Institut für Polar- und Meeresforschung, Data Science, Lecture Hall Research II

Fr  22.11.         12:00-14:00      Poster presentation by Data Engineering students in the  East Wing ICC