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CENTER FOR
SCALABLE DATA ANALYTICS
AND ARTIFICIAL INTELLIGENCE

ScaDS.AI Lecture Series on AI and Big Data (University of Leipzig)

Lecture at the University of Leipzig in the Master's program Data Science (SuSe 2020)

Module 10-INF-DS301 "Current Trends in Data Science" (5 LP)

Coordinator: Prof. Dr. E. Rahm (University of Leipzig)

The goal of the lecture series is to give participants an overview of current requirements and solutions for methods, technologies and applications of Artificial Intelligence and Big Data. The focus is on the areas of research in the data science center ScaDS.AI (Center for Scalable Data Analytics and Artificial Intelligence) Dresden/Leipzig. Speakers include the Principal Investigators actively involved in ScaDS.AI Dresden/Leipzig. The lecture is offered as part of the module "Current Trends in Data Science" (5 LP) of the new study program Data Science. Lecture languages are German and English. The successful completion of the module requires the viewing of video lectures as well as the successful solution of a practical task, which can be solved in teams of two. The results of the practical tasks should be presented by the students in the last two video lectures. Participation in the lecture series is also open to other students, researchers and interested parties.

Due to the Covid-19 developments, the lecture will take place via video presentations. The lecture materials (videos) can be viewed via the online platform Moodle from the lecture date. Registered students will soon (until 20 April) receive access to this platform via email.

Descriptions of the practical topics will also be made available via Moodle. The selection of topics is expected to take place from 24 April to 28 April 2020.  Each student will indicate their topic preferences in a Moodle survey with 1-6, where 1 is the most preferred topic and 6 the lowest. Furthermore, a desired partner can also be named. The assignment of topics is based on the user topic matrix. Thereby it is tried to achieve the greatest possible consensus.

The assignment of topic and partner can be found afterwards in Moodle.

 


 

Time schedule

Lecture 1: 22 April 2020

 Prof. Dr. Erhard Rahm:

- Introduction to ScaDS.AI and lecture series/module (slides)

- ScaDS.AI topics of database group (data integration for knowledge graphs, 

  privacy-preserving data analysis, analysis of dynamic graph data) (Slides)

 

Lecture 2: 29 April 2020

Prof. Dr. Stephanie Schiedermair: Privacy and non-discrimination as challenges for AI

 

Lecture 3: 06 May 2020

Dr. Sebastian Hellmann: Rapid Prototyping of Large Knowledge Graphs and their Applications such as AI

 

Lecture 4: 13 May 2020

Prof. Dr. Martin Bogdan: How far is it to the singularity?

 

Lecture 5: 20 May 2020 

Prof. Dr. Norbert Siegmund: Validity and Fairness in Machine Learning: A Software Engineering Perspective

 

Lecture 6: 27 May 2020

Dr. Stefan Franke, Prof. Dr. T. Neumuth: Possibilities and limits of AI in medical research and clinical practice

 

Lecture 7: 03 June 2020

Dr. Ringo Baumann, Prof. Dr. Gerhard Brewka: Computational Models of Argumentation (Slides)

 

Lecture 8: 10 June 2020

Prof. Dr. Peter Stadler: Very Big Data in Computational Biology -- Processing and Integration

 

Lecture 9: 17 June 2020

 Prof. Dr. Nihat Ay: Generalisation in Statistical Learning (Slides)

 

Lecture 10: 24 June 2020

J.Prof. Dr. Martin Potthast: Technologies for Information Retrieval and Summarization

 

Lecture 11: July/August, presentation of results of the practical exercises (1) Via video conference

 

Lecture 12: July/August, presentation of results of the practical exercises (2) Via video conference