Utbildningsplaner med kursplaner

Kunskapsrepresentation och resonerande 7.5 hp

Kursinnehåll

Knowledge representation and reasoning (KR) is an established area in Artificial Intelligence (AI) since the 1960s. It deals with explicit, symbolic, declarative representations of knowledge and inference procedures for deriving further and implicit information from these representations. It remains crucial for the overall development of AI. Although recent developments in statistical approaches and machine learning have been very successful, limitations of these methods are apparent. It is believed that some of these limitations can only be overcome with advances in knowledge representation. This course aims to introduce students to various topics in KR. The course covers both fundamental principles and recent advancements in the field, including those developed from the area of the Semantic Web, whose backbone is based on theories and methods built in knowledge representation.

The course includes the following elements:

Description Logics
Ontology and Ontology Engineering
Knowledge Graphs
Standard Semantic Web technologies
Answer-Set Programming and reasoning about actions and change

Förkunskapskrav

The applicant must hold the minimum of a bachelor’s degree (i.e the equivalent of 180 ECTS credits at an accredited university) with at least 90 credits in Computer Engineering, Computer Science or Electrical Engineering (with relevant courses in computer engineering), or equivalent, or passed courses at least 150 credits from the programme Computer Science and Engineering. The bachelor’s degree should comprise a minimum of 15 credits in mathematics. Proof of English proficiency is required.

Utbildningsnivå: Avancerad nivå

Kurskod/Ladokkod: TKRR25

Kursen ges vid: Tekniska högskolan