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Research Topics in Big Data

Hovedinnhold

Studiepoeng, omfang

15 ECTS

Studienivå (studiesyklus)

Master level

Undervisningssemester

Irregular (not taught every year)

Mål og innhald

The course provides the theoretical and technical foundations for managing and rapidly exploiting big data sets, such as data originating from public sources, social media/crowdsourcing, and the Internet/Cloud of Things. It covers general theories and technologies for big data, including sourcing, analysis, curation, processing, use, and evaluation. The course focusses on the exploitation of big data in a selected domain, such as media content production. It gives the academic background for supervised research on uses of big data in that domain. The course involves development work using selected technologies and standards for big data. Examples of research and research methods in the area will also be presented and discussed.

Læringsutbyte

Knowledge

Upon completion of the course the candidate shall

  • understand central concepts, standards, and technologies for big data
  • know about current research and industry trends in big data
  • understand how big data can be exploited in the selected domain
  • know about current research and industry trends in big data in the selected domain
  • know the relevant research methods for the area

Skills

Upon completion of the course the candidate shall be able to

  • use central technologies and tools for managing and using big data
  • exploit big data in the selected domain
  • prepare and evaluate uses of big data in practice

Krav til forkunnskapar

European (three-year) Bachelor's degree in information science or similar degree in ICT, covering basic programming skills.

Studiepoengsreduksjon

None

Krav til studierett

Master in Information Science or similar ICT background. Students in their last year of a 4 year Bachelor's programme can be admitted after application.

Arbeids- og undervisningsformer

Lectures, and work with assignments, presentations and discussions. Parts of the course may be taught at a distance.

Obligatorisk undervisningsaktivitet

Participation at 80% of course seminars is mandatory. When teaching is distributed across institutions, students in other institutions may participate online from their institution.

Compulsory requirements are only valid the semester they are approved.

Vurderingsformer

  • Portfolio (55%)
    • An individual, theoretical essay with thoughtful research and discussion of an assigned topic
    • Practical assignment in groups
  • Oral presentations of essay and group assignment (15%)
  • Written exam (3 hours) (30%)

Karakterskala

The grading system has a descending scale from A to E for passes and F for fail.

Vurderingssemester

Assessment in teaching semester. Only students who have a valid document of absence will be entitled to take a new written exam the following semester

Litteraturliste

The reading list will be ready before 1 June for the autumn semester and 1 December for the spring semester.

Emneevaluering

All courses are evaluated according to UiB's system for quality assurance of education.

Programansvarleg

The Programme Committee is responsible for the content, structure and quality of the study programme and courses.

Administrativt ansvarleg

The Department of Information Science and Media Studies at the Faculty of Social Sciences has the administrative responsibility for the course

Kontakt

studieveileder@ifi.uib.no

Telephone 55 58 90 00

Eksamensinformasjon

  • Klokkeslett for oppstart av skriftlig eksamen kan endre seg fra kl 09.00 til 15.00 eller vice versa inntil 14 dager før eksamen.

  • Vurderingsordning: Mappe, munnleg og skuleeksamen

    • Eksamensdel: Mappevurdering

      Eksamenssystem
      Inspera
      Digital eksamen
    • Eksamensdel: Skuleeksamen

      Dato
      19.12.2022, 09:00
      Varigheit
      3 timer
      Eksamenssystem
      Inspera
      Digital eksamen
    • Eksamensdel: Munnleg eksamen