Applying Data Science

Applying Data Science

Lectures are open to the public, start at 4:00 pm and - under normal conditions -  take place in the Lecture Hall of the Einstein Center Digital Future, Robert-Koch-Forum, Wilhelmstr. 67, 10117 Berlin. Most lectures for this semester will take place online. Please contact Nina Reinecke at nina.reinecke@tu-berlin.de for the link to our Zoom session. See below for more information.

Winter Semester 2021/2022

20.10.2021 - Dennis Shasha (New York University): "SafePredict and Friends" More info...

03.11.2021 - Frank Leymann (Uni Stuttgart): "Basics of Quantum Computing and Potentials in Machine Learning" More info...

17.11.2021 - Florian Tschorsch (TU Berlin): "Next Generation Data Networks: BitTorrent Meets Content Addressing" More info...

01.12.2021 - Dirk Brockmann (HU Berlin): "The Data Donation Project - How wearable sensors can help in dealing with the COVID-19 crisis" POSTPONED TO SUMMER SEMESTER!

15.12.2021 - Daniela Nicklas (Uni Bamberg): "IoT and the City: Smart Data Processing for Smart Applications" More info...

05.01.2022 - Sheeba Samuel (Uni Jena): "Reproducible Research: Responding to 6W and 1H questions of Data Provenance" More info...

19.01.2022 - Claudia Draxl (HU Berlin): "Similarity of materials and data-quality assessment by unsupervised learning" More info...

02.02.2022 - Fereshta Yazdani (Lufthansa Industry Solutions): "Artificial Intelligence: a cross-sectional technology with algorithmic prejudices" More info...

16.02.2022 - Kerstin Ritter (Charité Universitätsmedizin): "Machine learning in clinical neuroimaging" More info...

 

Dates for Summer Semester 2022: 27.04.2022 (reserved for D. Brockmann), 11.05.2022, 25.05.2022, 08.06.2022, 22.06.2022, 06.07.2022, 20.07.2022