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Postgraduate course

Research Topics in Cognitive Computing

  • ECTS credits15
  • Teaching semesterSpring, Autumn
  • Course codeINFO318
  • Number of semesters1
  • LanguageEnglish
  • Resources

Main content

Level of Study


Teaching semester


Objectives and Content

The course will provide the theoretical and technical background for implementing information systems which can behave in human like ways. This involves natural language processing, visual recognition, and a deep representation of the meaning of information. We will also consider theories of human cognition to learn from the differences between human and machine systems of information processing.

Students will also explore the concept of symbiotic systems, which will give them the skills to implement intelligent software applications that optimally compliments human users.

The course will also provide the academic background for supervised research on information systems that are based on cognitive, symbiotic models. Examples of research and research methods in the area will also be presented and discussed.

Learning Outcomes

Upon completion of the course the candidate should be able to

  • demonstrate an understanding for central concepts in information systems interoperability.
  • describe and discuss human centric notions of semantics
  • explain the way Natural Language Processing (NLP) is used in semantic models
  • explain what cognitive and symbiotic systems mean in information systems

Required Previous Knowledge

Bachelor's degree in information science or equivalent.

Access to the Course

Master in Information Science. Other master students may apply for admission.

Teaching and learning methods

Lectures, exercises, student presentations and discussions (around 40 hours, of which around 20-24 hours are lectures)

Compulsory Assignments and Attendance

Participation at 80% of course seminars is mandatory.

Compulsory requirements are only valid the semester they are approved.

Forms of Assessment

  • Individual, theoretical essay with thoughtful research and discussion of an assigned topic (60%).
  • 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.

Course Evaluation

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


Studierettleiar kan kontaktast her: studieveileder@ifi.uib.no / 55 58 90 00