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Schedule Current Topics in Data Engineering 2022 

Schedule Current Topics in Data Engineering 2021 

Schedule Current Topics in Data Engineering 2020 

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  no lecture

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

 Slides of HR Forecast on NLP from 2019 

Slides from HR forecast  2018: 

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  5.11.      9:45-11:00      Lecture Hall Research III    Tutorial  on  Writing the term paper and Preparing  the Poster

Fr  15.11.    9:45 CSC Infosession for Data Engineering Master Students, Christin Klähn          

  • Why would students need Career Services?
  • What CSC at Jacobs University does 
  • Introduction into Career Advising Seminars 
  • The Internship Program (how to get a voluntary internship)
  • Interview training
  • How to write a CV recommendations     
  • Career Center Website by JobTeaser
  • Career Events


Tu 19.11.        9:45 Hans Pfeiffenberger, Alfred Wegener Institut für Polar- und Meeresforschung,

Challenges and Chances of  Scientific Data ManagementLecture Hall Research III

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

                                  



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On behalf of our partners at SIT, I would like to share with you the opportunity to attend a presentation by Dr. Stas Protassov tomorrow November 7th from 13:45-14:45 in the South Hall (229) Dr. Stas Protassov will be sharing info on the Acronis-JUB partnership for career opportunities for students in the fast-growing cybersecurity industry. Faculty presence at events like these is of course beneficial to students and the university.…
Here is the link, German is not required for the internship https://www.ewe.com/karriere/aktuelle-stellenangebote/stelle?referenceCode=10898 https://www.ewe.com/karriere/aktuelle-stellenangebote/stelle?referenceCode=10898
I hope you are doing well. Could you please share this email with your computer science and robotics students? Scale AI https://scale.com/ is a leading company in the space of machine learning data annotation and tooling. Every year Scale organizes a Machine Learning conference which is attended by well-known figures in ML space e.g., Andrew Ng, Fei-Fei Li, Sam Altman etc. The talks are focused on ML best practices, state of the art breakthroughs and systems in production at leading companies e.…

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