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Undergraduate course

Knowledge Representation and Reasoning

Level of Study

Bachelor level

Semester of Instruction

Autumn

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:

Knowledge: The candidate

  • has theoretical knowledge about principles for logic-based representation and reasoning.
  • has a basic understanding of 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.

Skills: The candidate

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

Recommended Previous Knowledge

INFO102 or equivalent. Solid background in programming.

Access to the Course

Open

Teaching and learning methods

Lectures, seminars and data labs, normally 2 + 2 hours per week for 12-15 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 80%).

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.

Subject Overlap

INFO282 overlaps 10 ECTS with INFO281.

Assessment Semester

Autumn

Course Evaluation

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

Contact

Contact Information

advice@info.uib.no

Exam information

  • Type of assessment: Written Exam

    Date
    14.12.2017, 09:00
    Duration
    4 hours
    Withdrawal deadline
    30.11.2017
    Examination system
    Inspera
    Digital exam