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Neural Networks

Course
FIM720
Master’s level
7.5 credits (ECTS)
Study pace
50%
Time
Day
Location
Göteborg
Study form
Campus
Language
English
Duration
-
Application open
-
Application code
GU-11162
Tuition
Full education cost: 15 125 SEK
First payment: 15 125 SEK

No fees are charged for EU and EEA citizens, Swedish residence permit holders and exchange students.

More information about tuition fees

Application closed

About

The course gives an overview and a fundamental theoretical understanding of the most important neural net algorithms. These include models of associative memory algorithms for learning from examples (e.g., perceptron learning, back-propagation, temporal difference learning), and models for self-organization. Through comparison with methods from statistics and computer science students can develop an understanding of when neural networks are useful in application problems.

Prerequisites and selection

Requirements

A Bachelor's degree in Engineering, Natural or Mathematical sciences of 180 credits including knowledge of Mathematical analysis, Linear algebra and Programming. Applicants must prove their knowledge of English: English 6/English B from Swedish Upper Secondary School or the equivalent level of an internationally recognized test, for example TOEFL, IELTS.

Selection

Selection is based upon the number of credits from previous university studies, maximum 165 credits.