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DBIS

Courses

Courses offered in WS 21/22

  • Algorithmen für die Entdeckung von Communities in sozialen Netzwerken


    In diesem Proseminar werden sogenannte Overlapping Community Detection Algorithms (OCDA) mittels eines multi-perspektivischen Kriterienkatalogs untersucht. Neben klassischen informatischen Kriterien wie Korrektheit, Laufzeit und Speicherplatzverbrauch werden Kriterien wie Genauigkeit und Güte der gewonnen Information, aber auch die Anwendbarkeit auf bestimmte Formen sozialer Netzwerke (assoziativ und dissassoziativ) eingesetzt. Die Bewertungen werden beispielsweise durch Spinnendiagramme visualisiert. Das Proseminar […]
  • Bridge Course Databases


    A blended learning bridge course for master students in Data Science, Computational Social Science and related programs.
  • 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 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 […]
  • 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.
  • High-tech Entrepreneurship and new Media


    The lab course combines tutorials and guest lectures on the development of complex information products with practical experience in start-ups on specific and typical IT-related problems of the companies taking part in the lab. Integrated into the concept of this course is the development of presentation and other soft skills. Every winter term we offer […]
  • 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 are discussed (e.g. query processing and transaction management). The concepts of implementation are demonstrated using classical relational DB systems as well as newer systems (distributed DB, NoSQL systems). Concepts, […]
  • Knowledge Graphs Praktikum


    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 operations. […]
  • Mixed Reality Lab


    Mixed Reality is a continuum of spatial computing experiences on virtual, augmented and extended reality devices, such as the Microsoft HoloLens, the HTC Vive, and mobile phones. In this lab, we learn the basics of mixed reality software development in hands-on lessons with practical tasks. The lab contains a small independent project student groups can […]
  • 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 […]
  • 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, […]
  • Social Computing Seminar


    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. In this seminar we explore recent topics in social computing like Social Bots, Fake News, Filter […]
  • Web Science


    More than thirty years after the birth of the World Wide Web, Web Science is an established study field in Computer Science. This course introduces fundamental concepts (web centralities & basic algorithms, network models and web engineering principles) of Web Science. We will learn fundamental algorithms for web page ranking like PageRank and HITS as […]

Courses planned for the upcoming semester (SS 22)

  • Algorithmen für die Entdeckung von Communities in sozialen Netzwerken


    In diesem Proseminar werden sogenannte Overlapping Community Detection Algorithms (OCDA) mittels eines multi-perspektivischen Kriterienkatalogs untersucht. Neben klassischen informatischen Kriterien wie Korrektheit, Laufzeit und Speicherplatzverbrauch werden Kriterien wie Genauigkeit und Güte der gewonnen Information, aber auch die Anwendbarkeit auf bestimmte Formen sozialer Netzwerke (assoziativ und dissassoziativ) eingesetzt. Die Bewertungen werden beispielsweise durch Spinnendiagramme visualisiert. Das Proseminar […]
  • Basic End2End Resourcemanager


    In this practical course, the participants learn to run a software development project and create a software product from the very beginning – from requirement analysis to release. The students will learn the importance of Scrum as part of the agile software development process.
  • Bridge Course Databases


    A blended learning bridge course for master students in Data Science, Computational Social Science and related programs.
  • 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 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 stream […]
  • Informationsmanagement für öffentliche Mobilitätsangebote


    Die Vorlesung gibt eine Einführung in die organisatorischen und technischen Aufgabenstellungen bei der Planung, der Organisation, dem Betrieb und der Qualitätssicherung von öffentlichen Mobilitätsangeboten, die mit Hilfe von Ansätzen aus der Informatik und Informationssystemen gelöst werden können.
  • Mixed Reality Lab


    Mixed Reality is a continuum of spatial computing experiences on virtual, augmented and extended reality devices, such as the Microsoft HoloLens, the HTC Vive, and mobile phones. In this lab, we learn the basics of mixed reality software development in hands-on lessons with practical tasks. The lab contains a small independent project student groups can […]
  • 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 […]
  • Seminar Data Ecosystems


    Organizations in many domains, such as manufacturing or healthcare, have a huge demand to exchange data to enable new services, drive research and innovation, or improve patient care.Hence, organizations require alliance-driven infrastructures capable of supporting controlled data exchange across diverse stakeholders and transparent data management. Data Ecosystems are distributed, open, and adaptive information systems with […]
  • 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 […]
  • Sovereign Data Exchange


    In this lab, we will apply these technologies to some data exchange/data sharing scenarios. Students are expected to develop a complete workflow for a data exchange, including data preparation, policy definition, apps for enriching data, etc.
  • Web Science Seminar


    Web Science has become an interdisciplinary study field between computer science, mathematics, sociology, economics, and other disciplines. This seminar researches advanced Web Analytics and Web Engineering topics in Web Science probably leading to master thesis topics for excellent students. Topics include: network evolution models and network dynamics, (overlapping) community detection, recommender systems, adaptation and personalization […]

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