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DBIS

Courses

Courses offered in WS 23/24

  • Bridge Course Databases


    A blended learning bridge course for master students in Data Science, Computational Social Science and related programs.
  • Data Ecosystems Lab


  • Data Science in Medicine


    Health data analytics is one of the main drivers for the future of medicine. Various sources of big data, including patient records, diagnostic images, genomic data, wearable sensors, are being generated in our everyday life by health care practitioners, researchers, and patients themselves. Data science aims to identify patterns, discovering the underlying cause of diseases […]
  • Data Visualisation and Analytics


    This course provides participants with a comprehensive and versatile toolbox of data visualisation and analysis methods, which can be transferred to a vast number of applications.
  • Implementation of Databases


    The lecture gives an introduction to the implementation of database systems. Besides the rough architecture of a DB system, detailed methods for solving individual DB tasks, such as query processing and transaction management, are presented. The concepts of implementation are demonstrated using classical relational DB systems as well as distributed and NoSQL systems. Concepts, frameworks […]
  • Knowledge Graph Lab WS 2023


    Knowledge Graphs are large graphs used to capture information about the real world in such a way that is is useful for applications. In these data structures, there are all sorts of entities (for example, people, events, places, organizations, etc.). Knowledge Graphs are used by many organizations to represent the information they need for their […]
  • Knowledge Graphs Seminar


    Knowledge Graphs are large graphs used to capture information about the real world in such a way that is is useful for applications. In these data structures, there are all sorts of entities (for example, people, events, places, organizations, etc.). Knowledge Graphs are used by many organizations to represent the information they need for their […]
  • Mixed Reality Lab


    Mixed Reality is a continuum of spatial computing experiences on virtual, augmented and extended reality devices, such as the Microsoft HoloLens 2, the HTC Vive Pro, Meta Quest 2 and Android smartphones. In this lab, we learn the basics of mixed reality software development in independent project work that student groups can propose and elaborate.
  • Semantic Web


    As part of the W3C Semantic Web initiative standards and technologies have been developed for machine-readable exchange of data, information and knowledge on the Web. These standards and technologies are increasingly being used in applications and have already led to a number of exciting projects (e.g. DBpedia, semantic wiki or commercial applications such as schema.org, […]
  • Seminar Privacy and Big Data


    This seminar is about new and emerging approaches to adjust and balance privacy and utility in data intensive applications, such as information retrieval, data mining and personalisation. These new approaches have the potential to enable a new generation of privacy-enabled services which are not focused on maximizing the collection of user data. Instead these new […]
  • Social Computing Seminar


    Social Computing embodies the intricate interplay between evolving computational systems and dynamic societal behaviors. This field examines how technology can be crafted to interpret and enhance human interactions and observes these systems’ transformative influence on our social fabric.

Courses planned for the upcoming semester (SS 24)

  • Data Stream Management and Analysis


    In many fields today data is produced continuously, potentially unbounded, and at high rates, which is termed as 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 […]
  • Datenbanken und Informationssysteme


    Die Vorlesung “Datenbanken und Informationssysteme” gibt einen einführenden Überblick über Datenbanken und ihre Verwendung in Informationssystemen.
  • Knowledge Graph Lab SS 2024


    Knowledge Graphs are large graphs used to capture information about the real world in such a way that is is useful for applications. In these data structures, there are all sorts of entities (for example, people, events, places, organizations, etc.). Knowledge Graphs are used by many organizations to represent the information they need for their […]
  • Mixed Reality Lab


    Mixed Reality is a continuum of spatial computing experiences on virtual, augmented and extended reality devices, such as the Microsoft HoloLens 2, the HTC Vive Pro, Meta Quest 2 and Android smartphones. In this lab, we learn the basics of mixed reality software development in independent project work that student groups can propose and elaborate.
  • Seminar Data Stream Management and Analysis


    Low-cost sensors and high communication bandwidths open up new possibilities for applications that benefit from a high amount of data. Such applications produce data continuously, potentially unbounded, and at high rates, which is subsumed under the term data stream. Examples for applications fields are smart manufacturing, high-speed trading, fraud detection, robotics, or social networks. Data […]
  • Seminar Privacy and Big Data


    This seminar is about new and emerging approaches to adjust and balance privacy and utility in data intensive applications, such as information retrieval, data mining and personalisation. These new approaches have the potential to enable a new generation of privacy-enabled services which are not focused on maximizing the collection of user data. Instead these new […]
  • Web Science Seminar


    Web Science is an advanced interdisciplinary field that intersects computer science, mathematics, sociology, economics, and other fields. This seminar explores aspects of the World Wide Web, focusing on cutting-edge research in Web Analytics, Web Engineering, and aspects of Web Science that may lead to thesis topics for students. The seminar covers a variety of areas […]

Working Groups

  • Intelligent Distributed Systems


    Intelligent Distributed Systems
  • Advanced Community Information Systems


    We are using state-of-the-art techniques of software engineering for the specifications of requirements, design, and for implementation. We practice teamwork techniques and use high-end hardware and software. For our group communication, we use the BSCW system and Moodle (prior TikiWiki).

Specialization Areas

Themenbereiche für eine Prüfung im Vertiefungsgebiet Informatik:

  • Einführung in Datenbanken
  • Implementierung von Datenbanken
  • Informationssysteme
  • Wissensbasierte Systeme
  • Spezialvorlesungen aus den Bereichen Dokumentenmanagement, Electronic Commerce, CSCW & Groupware, deduktive Datenbanken, objektorientierte Datenbanken, Wissensrepräsentation, natürlichsprachliche Schnittstellen, Logikprogrammierung, sowie Informationssystem-Anwendungen in Büro, Ingenieurwissenschaften und Medizin

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