Hjem

Utdanning

Laveregradsemne

Semantic Technologies

Studienivå (studiesyklus)

Bachelor

Undervisningssemester

Autumn

Mål og innhald

The course introduces students to information technologies that not only store and manipulate data, but also explicitly represent the meaning of the data. Students will become familiar with the theoretical background as well as popular technologies and resources in use today. The aim is to give students a thorough understanding of the way information can be represented in a way that enables interoperability and reasoning over the data sets. The theoretical studies will be supplemented with practical exercises in information modeling and reasoning.

Læringsutbyte

A student who has completed the course should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The candidate

  • knows the basic concepts for representing the semantics of data.
  • knows the basic concepts for retrieving semantically-enriched data.
  • knows the standards for semantic technologies, for example RDF and SPARQL.

Skills

The candidate

  • can design meaningful information representations.
  • can add meaningful data to existing web resources
  • can retrieve data from semantically-enriched data sets.

Krav til forkunnskapar

None

Tilrådde forkunnskapar

INFO132 Programming, INFO125 Data Management should be taken in the same semester or before.

Krav til studierett

Open

Arbeids- og undervisningsformer

12-16 two-hour lectures, 10-16 two-hour seminars

Obligatorisk undervisningsaktivitet

Mandatory participation: Attendance at mandatory labs (at least 80%).

Vurderingsformer

3 hours Written Exam (60%)

1 Group Assignment (40% )

Karakterskala

Letter grade (A-F).

Vurderingssemester

Autumn

Emneevaluering

The course is evaluated by students every three years, and by the responsible lecturer each year.

Institutt

Department of Information Science and Media Studies

Kontakt

Kontaktinformasjon

studieveileder@info.uib.no

Eksamensinformasjon

  • Vurderingsordning: Written exam and group assignment

    Trekkfrist
    09.11.2017
    • Eksamensdel: Group assignment

      Innleveringsfrist
      23.11.2017, 14:00
      Eksamenssystem
      Inspera
      Digital eksamen
    • Eksamensdel: Written exam

      Dato
      08.12.2017, 09:00
      Varigheit
      3 timer
      Eksamenssystem
      Inspera
      Digital eksamen