Courses: INFO319 Research Topics in Big Data - Autumn 2022

Credits

15.0

ECTS Credits

15 ECTS

Level of Study

Master level

Language of Instruction

English

Teaching semester

Irregular (not taught every year)

Objectives and Content

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.

Learning Outcomes

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

Required Previous Knowledge

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

Credit Reduction due to Course Overlap

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.

Compulsory requirements are only valid the semester they are approved.

Forms of Assessment

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%)

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 https://www.uib.no/en/student/118764/absence-examvalid document of absence will be entitled to take a new written exam the following semester

Reading List

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

Course Evaluation

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

Course Administrator

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

Contact Information

studieveileder@ifi.uib.no

Telephone 55 58 90 00