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Schedule Lecture Hall Research I

Tu   4. 9.  2018   8:15    Stefan Kettemann,  Introduction

Fr    7. 9.            9:45    Agostino Merico, 

                                     Analysis of Complex Ecological and Social Systems

Fr  21. 9.           9:45     Blackout Technologies, Marc Fiedler with  JU Graduates,   

                                      Data engineering for social robots and digital assistants

Fr  28. 9.           9:45     Marc-Thorsten Hütt, 

                                      Bio-Information and Systems Biology

Fr  19.10.          9:45     Stefan Kettemann, 

                                      Data Engineering for the Energy Transition

                                      Marius Buchmann,

                                      Smart Metering – The first step towards digitalization in the energy sector

                                      and its potential for data engineering.

Tu  23. 10.         8:15     Angelo Rossi, Vikram Unnithan, Joachim Voigt 

                                      Earth and Planetary Data Science

Fr  26.10.          9:45     Herbert Jaeger, 

                                      What is (the future of) computing?  Introduction to 

                                      unconventional computing

Tu 30.10.          8:15      Adalbert Wilhelm, 

                                      Classification of imbalanced data

Fr   2.11.           9:45      Ruihao Qiu Data Scientist at HRForecast - a peopleForecast company, 

                                      with JU graduates: Applied Data Engineering in Business Intelligence

Fr   9.11.           9:45     Giuseppe Abreu, 

                                      Communication Theory

                      10:25       Dimitar Mišev/Peter Baumann, 

                                      Array Databases                         

Fr  16. 11.         9:45      Tutorial  on  Writing the term paper and Preparing  the Poster

Fr  7.12.            9:45-11:00      Poster presentation by Data Engineering students 


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Application for International Summer School, 6-31 July 2020 Oslo Metropolitan University now accepts applications for the International Summer School scheduled to take place 6-31 July 2020. Courses will be offered through the Department of Computer Science at the Faculty of Technology, Art and Design. For more information about the programme or application process, please visit theOsloMet International Summer School website http://www.hioa.no/Studier-og-kurs/Summer.    Applications http://www.…
For those interested in applying for a MSCA fellowship in the field of Data Science and IT at the Oslo Metropolitan University in Norway, I invite you to visit our call for expression of interest for joint application under the European initiative Marie Skłodowska-Curie Individual Fellowship under the topic: Artificial Intelligence for Building Smart Energy Systems https://oslomet.varbi.…
Dear colleagues,   We are pleased to announce that the2020 recruitment of the Helmholtz Einstein International Berlin Research School in Data Science (HEIBRiDS)  https://www.heibrids.berlin/ in Berlin, Germany, is now open. We offer ten fully funded PhD fellowships in a collaborative research environment across disciplinary borders. HEIBRiDS projects combine Data Science with applications in Molecular Medicine, Materials & Energy, Earth & Environment,…

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