Artificial neural networks

About this programme

No fees are charged for EU and EEA citizens, Swedish residence permit holders and exchange students. 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. Selection is based upon the number of credits from previous university studies, maximum 165 credits.