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SessionDatePresenter

Topic

CommentsConfirmed

1


Fr 03.09.2021,

9:45-11:00

HB, AWIntro

2

Fr 10.09.2021,

9:45-11:00

HB, AWTutorial on Assessment, Report Writing, Visualisation

3

Tue 14.09.2021,

09.45-11:00

Adalbert WilhelmText Miningjointly with DE
4

Fr 17.09.2021,

09.45-11:00

HB, AWReport Writing Assessment

5

Tue 21.09.2021,

09.45-11:00

Jan LorenzUniversality in movie rating distributions

6

Fr 24.09.2021,

09.45-11:00

Agostino Merico,

Analysis of Complex Ecological and Social Systems

jointly with DE
7

Tue 28.09.2021,

09.45-11:00





8

Fr 01.10.2021,

09.45-11:00

Fabian Abel (XING)Automating Machine Learning for Recommender Systemsjointly with DE
9

Tue 05.10.2021,

09.45-11:00

Wahyu Hadiwikarta (DKFZ)Data Management for Cancer Radiotherapyjointly with DE
10

Fr 08.10.2021,

09.45-11:00

Katja WindtSMS Digital "Data Science meets Steel Industry"jointly with DE
11

Tue 12.10.2021,

09.45-11:00

Lennard Schlüter (Head of Product) and Malte Seeman (Data Engineer), Container XChangeHow to build data products for Container Logisticsjointly with DE
12

Fr 15.10.2021,

09.45-11:00

Marc-Thorsten Hütt,  Bioinformatics and Systems Biologyjointly with DE
13

Tue 19.10.2021,

09.45-11:00

Otthein HerzogBig Data and Bel Air. A Data Science Analysis of the Air Quality Index in Chinese Cities

14

Fr 22.10.2021,

09.45-11:00

Ruihao QiuData engineering for a Global Job Marketjointly with DE
15

Tue 26.10.2021,

09.45-11:00

Wiebke Drews (Uni Bw München)
Social Media Analytics for Politics. The SPARTA project at the University of the Federal Armed Forces, Munich"

16

Fr 29.10.2021,

09.45-11:00

Kanika Goes, Christian Neuerburg & Lea Neubert, adidasAI case studies in adidasjointly with DE
17Di 02.11.2021Hendro WicaksonoData Engineering in Supply Chain Engineeringjointly with DE
18Fr 5.11.2021Florian ForsterSmart City, Smart Government Bremen

19Fr 26.11.2021
Presentation of Project Visualizations




Report Due Date

TBC: Lea Neubert (Adidas), e-commerce

Laura Schmid/Adalbert Wilhelm, Financial forecasting using machine learning


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