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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:

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

                                  



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AI Experience Seminar
a Jacobs alumnus has informed me about the following one-day seminar in Hamburg and I thought it could be interesting for some of our data engineering students and faculty. Could you please share it with them. The registration is free of charge.  https://www.arrow.com/en/family/bu-arrow-ai-experience-2019 https://www.arrow.com/en/family/bu-arrow-ai-experience-2019  Attached is the program.  Best regards,…
intern in AI:
 https://jobs.intel.com/ShowJob/Id/2225097/Working-student-AI-Engineer-Chatbot,-Visual-Computing-(f-m-d)/ https://jobs.intel.com/ShowJob/Id/2225097/Working-student-AI-Engineer-Chatbot,-Visual-Computing-(f-m-d)/ Note: As I get it, the team has shortlisted two candidates, but they are both outside Germany. So, if we can “quickly” find somebody located in Germany (i.e already has all German papers to be here) with the required technical background, then it’s already a benefit.
Subject: We're hiring students!   Hey Stan!    the guys in our repair development department are looking for savvy students who know their way around machine learning in python or R. It’s one of the most interesting departments and the task they’re looking a student for is super cool. MTU pays a really competitive salary and are ideally looking for someone to write their thesis on (purely for having a model incl. a documentation).…

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