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Informatik 5
Information Systems
Prof. Dr. M. Jarke
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Courses offered in SS 19

  • Lecture: Datenbanken und Informationssysteme

  • Die Vorlesung gibt einen einführenden Überblick über Datenbanken und ihre Verwendung in Informationssystemen. Wesentliche Ziele der Veranstaltung sind das Kennenlernen verschiedener bekannter Datenmodelle, wobei der Schwerpunkt auf dem relationalen Modell liegt. Es werden theoretische sowie praktische Grundlagen der Datenmodelle und zugehöriger Anfragesprachen vermittelt. Außerdem werden Modellierungs- und Entwurfstechniken für das relationale Modell vorgestellt und Einblicke in grundlegende Datenbanksystemtechniken, z.B. die Transaktionsverwaltung, gegeben.

  • Lecture: 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.

  • Lecture: Bridge Course Databases (M.Sc. Data Science)

  • A blended learning bridge course for master students in Data Science.

  • Seminar: 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 in Web Environments, the Educational Web, Web Trust & Credibility, Web Protocols, Peer-to-Peer Networking for Web Clients, Web-based Software Development Models, particular Web Development methods like Web Components and many more. Students do not only learn to write and present scientific papers but also to peer review them. Students will be assigned to a supervisor helping the student through all steps like literature research, seminar paper and seminar presentation.

  • Practical course (basic level): Knowledge Graphs Praktikum

  • In this course we will give a basic practical introduction to working with knowledge graphs.

  • Practical course (basic level): Blockchain Experience Lab

  • Lecturers:

    By the end of the experience lab on blockchain technology students will have an elaborated understanding of the concept of blockchains for distritbuted data and transaction management and its potential impact for the digitalization of processes and businesses.