IT3708 - Bio-Inspired Artificial Intelligence


Examination arrangement

Examination arrangement: Portfolio Assessment
Grade: Letters

Evaluation Weighting Duration Grade deviation Examination aids
Off Campus Examination 40/100 90 minutes
Work 60/100

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 machine learning, 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 work 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

The final grade will be the result of a portfolio evaluation that includes deliverables on projects and an individual exam.  Results on individual portfolio parts will be given as points, but the final grading (course grade) is given by the letter grading system. All projects must be approved before the portfolio will be evaluated.

Retake of the course will require new participation/deliverables in all activities.

Specific conditions

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 AUTUMN 2008
More on the course



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


Term no.: 1
Teaching semester:  SPRING 2022

Language of instruction: English

Location: Trondheim

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

Department with academic responsibility
Department of Computer Science


Examination arrangement: Portfolio Assessment

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD Off Campus Examination (1) 40/100





Room Building Number of candidates
Spring ORD Work 60/100
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.
  • 1) Merk at eksamensform er endret som et smittevernstiltak i den pågående koronasituasjonen.

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

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