spring 2017
STE6246-001 Knowledge-based Systems (KBS) - 5 ECTS

Application deadline

Applicants from Nordic countries: 1 June for the autumn semester and 1 December for the spring semester. Exchange students and Fulbright students: 1 October for the spring semester and 15 April for the autumn semester.

Type of course

The course may be taken as a single subject.

Admission requirements

A relevant undergraduate bachelor Engineering programme with minimum 30 credits Mathematics/statistics topics

Required prerequisite knowledge: 

SMN6192 Discrete mathematics with game- and graph theory

Application code: 9371


Course content

Introducing classical techniques within the area "artificial intelligence". Architecture in KBS using these techniques. Implementation of knowledge using symbolic language. "Pattern recognition". Knowledge in organizations and in individuals. KBS for diagnostics, finding errors, design and planning. Use of artificial intelligence in knowledge based language systems. Development of knowledge bases. Application of knowledge bases in knowledge management. Handling of uncertainty. Extraction and modeling of knowledge. Intelligent explanatory mechanisms. Intelligent agents and simple robots. Data mining and discovery of new knowledge in databases and text. Systems for knowledge sharing and reuse.

Recommended prerequisites

SMN6192 Discrete Mathematics

Objectives of the course

Learning outcome: 

Knowledge, information and data - three sides of the same matter.

Knowledge:

K1,K3

Skills:

S1

General competence:

GC2


Language of instruction and examination

English

Assessment

Form of assessment: 3 hour written exam

Grouping: Individual

Grading will be done by using A-F grading scale, F is Fail. A re-sit exam will be arranged for this course.


Recommended reading/syllabus

To be announced

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  • About the course
  • Campus: Narvik |
  • ECTS: 5
  • Course code: STE6246-001
  • Tidligere år og semester for dette emnet