Knowledge Representation and Reasoning
- ECTS credits10
- Teaching semesterAutumn
- Course codeINFO282
- Number of semesters1
- LanguageEnglish
- Resources
Main content
ECTS Credits
10 ECTS
Level of Study
Bachelor level
Teaching semester
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 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.
Skills
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
Contact
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
- Date
- 14.02.2023, 09:00
- Duration
- 4 hours
- Withdrawal deadline
- 31.01.2023
- Examination system
- Inspera
- Digital exam
- Location
- Solheimsgt. 18 (Administrasjonsbygget), SOL 2. etg.