course-details-portlet

IT8000 - Advanced Topics in Case-Based Reasoning

About

Examination arrangement

Examination arrangement: Oral examination
Grade: Passed/Failed

Evaluation form Weighting Duration Examination aids Grade deviation
Oral examination 100/100

Course content


Within CBR there is a growing attention to improved methods for similarity assessment, case adaptation, case learning, and case base maintenance. There is also an increased interest for methods that combine CBR with other reasoning forms, also triggered by the recent BigData focus. Methods that reason from past concrete situations (case-based) is the primary target in the course, but methods that reason from generalized models (model-based) will also be characterized. Integrated reasoning methods that cominbe the two, and address problem solving as well as machine learning targets, will be discussed, and related to developments in the above method areas. The specific set of topics covered will to some extent depend on the interests of the students taking the course.

Learning outcome

A. Knowledge:
To get a deeper understanding of how case-specific knowledge can be modelled, learned, and utilized in a combined manner.

B. Skills:
To be able to apply the learned theories and principles for building real world CBR systems for targeted application areas.

C. General Competence:
To get an understanding of how methods within CBR relates to - and can be combined with - other methods, both within in AI and computer science more generally.

Learning methods and activities

Colloquia, diskussions, small projects.

Course materials

Scientific papers, to be determined at course start.

More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Doctoral degree level

Coursework

Term no.: 1
Teaching semester:  SPRING 2021

No.of lecture hours: 2
Lab hours: 3
No.of specialization hours: 7

Language of instruction: -

Location: Trondheim

Subject area(s)
  • Medical Computer Science
  • Petroleum Engineering
  • Computer Systems
  • Bioinformatics
  • Informatics
  • Technological subjects
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Computer Science

Phone:

Examination

Examination arrangement: Oral examination

Term Status code Evaluation form Weighting Examination aids Date Time Digital exam Room *
Spring ORD Oral examination 100/100
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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