Knowledge Representation and Reasoning

Study facts

Course codeINFO282
ECTS credits10
Teaching semesterAutumn
Number of semesters1
Teaching language
Study levelUndergraduate Courses
Belongs toDepartment of Information Science and Media Studies


Contact Information

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 and inheritance networks. 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.

Subject Overlap

The course gives 10 ects credit reduction taken together with INFO281.

Teaching Methods and Extent of Organized Teaching

Lectures and data labs, normally 2 + 2 hours per week for 12-15 weeks.

Compulsory Assignments and Attendance

3 mandatory assignments.

The assignments must be approved in the teaching semester, and they are valid in this and the following semester.

Compulsory Assignments and Attendance

There will be mandatory assignments which must be completed and approved. The approved mandatory assignments can be carried over to the following semester, but not beyond. Mandatory participation: Attendance at mandatory labs (at least 80%).

Semester of Instruction


Level of Study

Bachelor level

Access to the Course


Learning Outcomes

Upon completion of the course the student should be able to:

  • demonstrate command of theoretical knowledge about principles for logic-based representation and reasoning.
  • demonstrate a basic understanding of production systems, frames, inheritance systems and approaches to handling uncertain or incomplete knowledge.
  • demonstrate a basic understanding of principles for reasoning with respect to explanation and planning.
  • analyze and design knowledge based systems intended for computer implementation.
  • demonstrate 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.

Recommended Previous Knowledge

INFO102 or equivalent. Solid background in programming.

Assessment Semester


Forms of Assessment

Written exam 4 hours.

Grading Scale

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

Course Evaluation

INFO282 is evaluated by students every three years, by the Department every year.