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Undergraduate course

Knowledge Representation and Reasoning

  • ECTS credits10
  • Teaching semesterAutumn
  • Course codeINFO282
  • Number of semesters1
  • LanguageEnglish
  • Resources

Main content

ECTS Credits


Level of Study

Bachelor level

Teaching semester


Objectives and Content

The course introduces the principles of logic-based knowledge representation and reasoning, as well as other important symbolic approaches to representing and reasoning about knowledge such as production systems, frames, taxonomies and Kripke models. How to represent different sorts of knowledge, such as uncertain or incomplete knowledge, knowledge about action and change, and knowledge about default situations, is discussed. Various types of reasoning are discussed, such as logical entailment, explanation and planning.

Learning Outcomes

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


The student

  • has theoretical knowledge about principles for logic-based representation and reasoning.
  • has a basic understanding of Kripke models, production systems, frames, inheritance systems and approaches to handling uncertain or incomplete knowledge.
  • has a basic understanding of principles for reasoning with respect to explanation and planning.
  • has a broad understanding of how knowledge based systems work which provides a solid foundation for further studies and for assessing when knowledge based approaches to problem solving are appropriate.


The student

  • can analyze and design knowledge based systems intended for computer implementation.

Required Previous Knowledge

INFO104 or equivalent.

Recommended Previous Knowledge

Basic understanding of programming.

Credit Reduction due to Course Overlap

INFO282 overlaps 10 ECTS with INFO281.

Access to the Course

The course is open to students with admission to study at the UiB. The course has 100 study places. Students who have this course as a compulsory part of their study plan will have priority access.

Application deadline: Wednesday, week 33

Teaching and learning methods

Lectures, seminars or data labs, normally 2 + 2 hours per week for 12-14 weeks.

Compulsory Assignments and Attendance

There will be mandatory assignments which must be completed and approved. Mandatory participation: Attendance at mandatory seminars and labs (at least 75%).

Approved compulsory requirements are valid for the two following semesters.

Forms of Assessment

4 hour written exam (100%)

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 and 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 Coordinator

Course coordinator and administrative contact person can be found on Mitt UiB.

Course Administrator

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

Exam information

  • For written exams, please note that the start time may change from 09:00 to 15:00 or vice versa until 14 days prior to the exam.

  • Type of assessment: Written Exam

    14.02.2023, 09:00
    4 hours
    Withdrawal deadline
    Examination system
    Digital exam