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Postgraduate course

Research Topics in Big Data

  • ECTS credits15
  • Teaching semesterSpring, Autumn
  • Course codeINFO319
  • Number of semesters1
  • LanguageEnglish
  • Resources

ECTS Credits

15 ECTS (50% of a bi-mester)

Level of Study

Master level

Teaching semester

Irregular (not taught every year)

Objectives and Content

The course provides the theoretical and technical foundations for managing and rapidly leveraging big data sets, for example originating from public sources, social media/crowdsourcing, and the Internet/Cloud of Things. It covers general theories and technologies for big data, including sourcing, curation, processing, use, and evaluation. The course focusses particularly on the application of big data for emergency management. It reviews theory and practice of emergency management and how emergency management can leverage big data. It gives the academic background for supervised research on the possible roles of big data for emergency management. The course involves development work using selected technologies and standards for big data and for emergency management. Examples of research and research methods in the area will also be presented and discussed.

Learning Outcomes

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

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 central concepts and standards in emergency management
  • understand how big data can be leveraged in emergency situations
  • know about current research and industry trends in big data for emergency management
  • 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
  • use central technologies and tools for emergency management
  • leverage big data in emergency situations
  • prepare and evaluate uses of big data in emergency situations

Required Previous Knowledge

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

Access to the Course

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.

Teaching and learning methods

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

Compulsory Assignments and Attendance

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

Forms of Assessment

  • Written exam (3 hours) (30%)
  • An individual, theoretical essay with thoughtful research and discussion of an assigned topic (30%)
  • Practical assignment in groups (40%)

Both assignments must be done in the teaching semester.

Grading Scale

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

Assessment Semester

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.

Course Evaluation

INFO319 is evaluated by students every three years and by the department every year.

Department

Department of Information Science and Media Studies

Contact

Contact Information

studieveileder@ifi.uib.no

Telephone 55 58 90 00