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Advanced Database Management Technology - Einzelansicht

Veranstaltungsart Seminar Kurztext
Veranstaltungsnummer INF-12930-20142 Rhythmus jedes 2. Semester
Semester WS 2014/15 Studienjahr
Erwartete Teilnehmer/-innen 12 Max. Teilnehmer/-innen 20
SWS 2 Sprache deutsch/englisch
Credits 4
Hyperlink http://www.informatik.uni-konstanz.de/grossniklaus/education/inf-12930/
Termine: Seminar iCalendar Export
  Tag Zeit Rhythmus Dauer Raum Raum-
Lehrperson Status Bemerkung fällt aus am Max. Teilnehmer/-innen
Einzeltermine anzeigen
iCalendar Export
Mo. 13:30 bis 15:00 wöchentl. 20.10.2014 bis 09.02.2015  C - C 424       20

Zugeordnete Lehrpersonen
Zugeordnete Lehrpersonen Zuständigkeit
Scholl, Marc H., Prof. Dr. verantwortlich
Grossniklaus, Michael, Prof. Dr. verantwortlich
Weiler, Andreas, Dr. begleitend
Zuordnung zu Einrichtungen
AG Scholl (Database and Information Systems)
FB Informatik und Informationswissenschaft

The literature of this course consists of research papers. The actual papers depend on the selected topic and will be individually assigned to students by the advisors.


The following skills, knowledge and courses are mandatory prerequisites to attend and successfully complete this course.

  • Basics of database systems: database design, query languages, database application programming, etc. (INF-12040 or equivalent)
  • Principles of database systems: relational model, relational algebra, normal forms, etc. (INF-12040 or equivalent)
  • Computer systems: computer architecture, operating systems, networks, etc. (INF-11740, INF-11880, or equivalent)
  • Key competences: Subversion, LaTeX, etc. (INF-10175 or equivalent)

The grade of the seminar will be based on the performance of the following tasks.

  • Presentation: 45 minutes
  • Written report: 10 pages, ACM SIGS Style (Strict or Alternate)

Database systems play an important role in a wide range of application domains, which impose new and diverse requirements to data management and processing. As a consequence, it has been argued that “one size” of database system does not fit all applications any more and specialized data management and processing systems have emerged. For example, data stream management systems address the challenges of continuously querying streaming data. Similarly, new database management technology has been developed to support applications that depend on graph data. Finally, data management in the cloud requires new data structures and algorithms that are capable of achieving the availability and scalability expected in this setting. This seminar will provide a guided tour through some of the latest developments in advanced database management technologies based on recent research results.


The seminar targets the following groups of students.

  • Advanced Bachelor students in Computer Science or Information Engineering, who are close to graduation and meet the mandatory minimum requirements for this course
  • Master students in Information Engineering, who meet the mandatory minimum requirements
  • All students, who meet the minimum requirements for this course and who plan to specialize in the area of databases and information systems by conducting a project or attending a practical course on this topic

Students will learn about current developments in the field of database research and gain an understanding of the approaches and technologies that are proposed in response to these trends. Under supervision, students will study, contrast and compare recent scientific papers, which is an important part of independent academic work. Students will gather in-depth knowledge of an advanced topic and develop the skills required to present a complex subject matter in the form of both a presentation and a written report. This learning goal includes the careful treatment of literature, presentation techniques, use of presentation aids, and scientific writing. In the scope of this seminar, students therefore acquire the technical and methodical training, which is required to successfully conduct a Bachelor or Master project in the area of databases and information systems.


120 hours, of which ca. 30 hours are spent in class and another 90 hours are spent on individual studies, i.e., reading several research papers, preparing a presentation and writing a report.

Keine Einordnung ins Vorlesungsverzeichnis vorhanden. Veranstaltung ist aus dem Semester WS 2014/15 , Aktuelles Semester: WS 2017/18
STUDIS    Anzahl aktueller Nutzer/-innen: 135 Haben Sie Anregungen, Fragen, Lob oder Kritik zum LSF?
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