course-details-portlet

IT3708 - Bio-Inspired Artificial Intelligence

About

Examination arrangement

Examination arrangement: Written examination
Grade: Letters

Evaluation form Weighting Duration Examination aids Grade deviation
Written examination 100/100 4 hours D

Course content

The main focus of the course is to study intelligent systems inspired by the natural world, in particular biology. Several algorithms and methods are discussed, including evolutionary algorithms. Bio-inspired intelligent systems have thousands of useful applications in fields as diverse as control theory, telecommunications, music and art. This course discusses both the theory and practice of bio-inspired artificial intelligence, along with providing a bit of the basis and inspiration for the different approaches.

Learning outcome

Knowledge: The course will give the candidate a general introduction to concepts, methods and algorithms within bio-inspired artificial intelligence.
Skills: The candidate will be able to apply actual methods and algorithms.
General competence: Through practical and theoretical exercises the candidate shall understand and apply bio-inspired artificial intelligence, and have an appreciation of the application of bio-inspired artificial intelligence to real-world problems.

Learning methods and activities

Lectures, colloquia, self-study, and exercises. A certain number of mandatory exercises must be approved in order to take the exam.

Further on evaluation

Specific conditions

Admission to a programme of study is required:
Computer Science (MIDT)
Computer Science (MTDT)
Industrial Economics and Technology Management (MTIØT)
Informatics (MIT) - some programmes
Informatics (MSIT)

Required previous knowledge

The course is only available for students following a specialization in Artificial Intelligence under the programs MTDT, MIDT, MSIT, MTIØT.

Course materials

To be announced.

Credit reductions

Course code Reduction From To
MNFIT378 7.5
MNFIT378 7.5
IT8801 7.5 01.09.2008
More on the course

No

Facts

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

Coursework

Term no.: 1
Teaching semester:  SPRING 2021

No.of lecture hours: 2
Lab hours: 2
No.of specialization hours: 8

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Informatics
  • Technological subjects
Contact information
Course coordinator:

Department with academic responsibility
Department of Computer Science

Phone:

Examination

Examination arrangement: Written examination

Term Status code Evaluation form Weighting Examination aids Date Time Digital exam Room *
Spring ORD Written examination 100/100 D
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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