course-details-portlet

IT3708

Bio-Inspired Artificial Intelligence

Credits 7.5
Level Second degree level
Course start Spring 2022
Duration 1 semester
Language of instruction English
Location Trondheim
Examination arrangement Portfolio assessment

About

About the course

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

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
MNFIT378 7.5 sp
MNFIT378 7.5 sp
IT8801 7.5 sp Autumn 2008
This course has academic overlap with the courses in the table above. If you take overlapping courses, you will receive a credit reduction in the course where you have the lowest grade. If the grades are the same, the reduction will be applied to the course completed most recently.

Subject areas

  • Informatics
  • Technological subjects

Contact information

Course coordinator

Lecturers

Department with academic responsibility

Department of Computer Science

Examination

Examination

Examination arrangement: Portfolio assessment
Grade: Letter grades

Ordinary examination - Spring 2022

Off Campus Examination (1)
Weighting 30/100 Date Release 2022-06-02
Submission 2022-06-02 Time Release 15:00
Submission 16:30 Duration 90 minutes Exam system Inspera Assessment
  • Other comments
  • 1) Merk at eksamensform er endret som et smittevernstiltak i den pågående koronasituasjonen.
Work
Weighting 70/100

All about examinations at NTNU