Course syllabus

Artificiella neuronnätverk
Artificial Neural Networks

EXTP80, 7,5 credits, A (Second Cycle)

Valid for: 2016/17
Decided by: Education Board B
Date of Decision: 2016-03-29

General Information

Language of instruction: The course will be given in English on demand


The aim of the course is to give the student knowledge about artificial neural networks, both theoretical knowledge and how to use them in practical applications such as pattern recognition, function approximation and optimization problems.

Learning outcomes

Knowledge and understanding
For a passing grade the student must

Competences and skills
For a passing grade the student must


Examination details

Grading scale: TH
Assessment: To pass the entire course, a passed test, passed reports on the computer exercises and participation in all compulsory course elements is required.


Admission requirements:

The number of participants is limited to: No

Reading list

Contact and other information

Course coordinator: Mattias Ohlsson,
Course homepage: