Learning Systems
Halmstad University
Startdatum:
Slutdatum:
Studietakt: 50 %
Publicerad utbildningskatalog
Learning Systems
Utbildningsinformation från den publicerade källan. Utbildningen och dess tidsbundna tillfällen hålls åtskilda.
Utbildningsfakta
Kod: DT8008
The course aims at providing an overview of the field machine learning; learning and self-organizing systems for classification and prediction. <br> Upon completion of the course, the student shall be able to - judge when the methods introduced in the course is applicable - read and comprehend scientific material in the area - apply the methods on real world problems - assimilate and present scientific results in the learning systems area
Behörighet
Bachelor of Science degree (or equivalent) in an engineering subject or in computer science. Courses in computer science, computer engineering or electrical engineering of at least 90 credits, including thesis. Courses in mathematics of at least 30 credits or courses including calculus, linear algebra and transform methods. The course Engineering mathematics 7.5 credits. English 6 or English level 2. Exemption of the requirement in Swedish is granted for those with foreign grades.
Utbildningstillfällen
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Publiceringsversion: 8e217193-f5fa-4778-b085-a4521fd03e8d
Kontrollsumma: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c
Senast ändrad enligt källan: 2026-01-26T08:47:36