120 credits including 15 credits in mathematics and 60 credits in computer science/information systems, including 20 credits in programming/algorithms/data structures. Proficiency in English equivalent to the Swedish upper secondary course English 6.
After the course you should be able to: set up and solve typical natural computation problems by implementation or with simulation tools, determine the applicability of different learning methods to different types of learning problems, i.e. know the strengths and weaknesses of the method set a good representation of the data recognise the typical effects of bad choices and determine how to improve the results describe how and why machine learning and natural computation methods (such as deep learning and genetic algorithms) work.
