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Before choosing courseID1214 Artificial Intelligence and Applied Methods 7.5 creditsAdministrate About course

The course gives an overview of Artifical Intelligence and Applied Methods.

The focus is on several different areas of Artifical Intelligence with AI-problems, and Methods and includes areas such as: Intelligent /Knowledge-based systems, Agent / multi-agent systems, Natural language processing and strategies.

Choose semester and course offering

Choose semester and course offering to see information from the correct course syllabus and course offering.

* Retrieved from Course syllabus ID1214 (Spring 2019–)

Content and learning outcomes

Course contents

The following fields are treated within the scope of the course:

  • Fundamental AI problems and solutions including search algorithms and planning, knowledge representation forms and knowledge including reasoning strategies, decision support and heuristics.
  • Intelligent agents and multi-agent systems
  • Automatic analysis and generation of natural language.
  • Machine learning and neural networks.

Focus is on artificial intelligence for knowledge-based systems, agent system and strategies.

Intended learning outcomes

After passing the course, the students should be able to:

  • account for artificial intelligence and its application fields
  • know and account for artificial intelligence methods and technologies
  • formulate and carry out a well delimited and qualified assignment that applies artificial intelligence techniques.

Course Disposition

No information inserted

Literature and preparations

Specific prerequisites

  • ID1018 Programming I
  • ID1019 Programming II or ID1213 Logic programming

or the equivalent.

Recommended prerequisites

No information inserted

Equipment

No information inserted

Literature

No information inserted

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F

Examination

  • INL1 - Written assignment, 4,0 hp, betygsskala: P, F
  • TEN1 - Examination, 3,5 hp, betygsskala: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Written examination. Written assignment that is presented in groups.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

Profile picture Anne Håkansson

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web ID1214

Offered by

EECS/Computer Science

Main field of study

Technology

Education cycle

First cycle

Add-on studies

No information inserted

Contact

Anne Håkansson (annehak@kth.se)

Supplementary information

In this course, the EECS code of honor applies, see: http://www.kth.se/en/eecs/utbildning/hederskodex.