Kategorie: ‘Lectures’
Data Stream Management and Analysis
In many fields today data is produced continuously, potentially unbounded, and at high rates, what is termed as a data stream. Applications in smart manufacturing, aerospace, particle physics, or stock exchange trading have a high demand to handle and analyze the massive data streams created. Due to their challenging characteristics specific technologies and methods for data streams management and analysis have been developed.
Empathic Computing
The lecture provides a systematic overview of the field of empathic computing at the interface of human-computer interaction, extended reality, affective computing, and virtual worlds. The focus is on how interactive systems can be designed to enable people to better understand and empathize with the perspectives, experiences, thought processes, and emotions of others, especially in distributed and immersive collaboration scenarios.
Privacy Enhancing Technologies for Data Science
This lecture covers current research results in the area of Privacy Enhancing Technologies (PETs) which can be applied to Data Science. These PETs have the potential to enable a new generation of privacy-enabled services which are not focused on maximizing the collection of user data. We use a mix of recent book chapters and papers from conferences and journals of the last few years as primary source material.
Datenbanken und Informationssysteme
Die Vorlesung “Datenbanken und Informationssysteme” gibt einen einführenden Überblick über Datenbanken und ihre Verwendung in Informationssystemen.
Privacy Enhancing Technologies for Data Science
This lecture covers current research results in the area of Privacy Enhancing Technologies (PETs) which can be applied to Data Science. These PETs have the potential to enable a new generation of privacy-enabled services which are not focused on maximizing the collection of user data. We use a mix of recent book chapters and papers from conferences and journals of the last few years as primary source material.
Bridge Course Databases
A blended learning bridge course for master students in Data Science, Computational Social Science, and related programs.
Privacy Enhancing Technologies for Data Science
This lecture covers current research results in the area of Privacy Enhancing Technologies (PETs) which can be applied to Data Science. These PETs have the potential to enable a new generation of privacy-enabled services which are not focused on maximizing the collection of user data. We use a mix of recent book chapters and papers from conferences and journals of the last few years as primary source material.
Privacy Enhancing Technologies for Data Science
This lecture covers current research results in the area of Privacy Enhancing Technologies (PETs) which can be applied to Data Science. These PETs have the potential to enable a new generation of privacy-enabled services which are not focused on maximizing the collection of user data. We use a mix of recent book chapters and papers from conferences and journals of the last few years as primary source material.
Bridge Course Databases
A blended learning bridge course for master students in Data Science, Computational Social Science and related programs.
Social Computing
Social Computing is an area of computer science that is concerned with the intersection of social behavior and computational systems. It is based on creating or recreating social conventions and social contexts through the use of software and technology. We will address social computing infrastructures, social computing engineering processes, computational social science, in particular recommender systems and community detection, crowdsourcing, collective intelligence, the dark web, mixed reality, mobile social computing, science 2.0 and advanced topics.