course-details-portlet

IT3708 - Bio-Inspired Artificial Intelligence

About

Examination arrangement

Examination arrangement: Aggregate score
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
Assignments 70/100
School exam 30/100 90 minutes 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 computer science, operations research, machine learning, telecommunications, cybernetics, games, music and art. This course discusses both the theory and practice of bio-inspired artificial intelligence, along with providing some 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 theoretical studies and programming projects the candidate shall understand and apply bio-inspired artificial intelligence, and develop a foundation for the application of bio-inspired artificial intelligence to real-world problems.

Learning methods and activities

Lectures, colloquia, self-study, and projects.

Further on evaluation

Grading is based on project demonstrations and an individual exam.

Retake of the course will require new participation and new deliverables in all course-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

No

Facts

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

Coursework

Term no.: 1
Teaching semester:  SPRING 2023

Language of instruction: English

Location: Trondheim

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

Department with academic responsibility
Department of Computer Science

Examination

Examination arrangement: Aggregate score

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD School exam 30/100 D INSPERA
Room Building Number of candidates
Spring ORD Assignments 70/100
Room Building Number of candidates
Summer UTS School exam 30/100 D INSPERA
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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