Learning Systems

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

Varje tillfälle har egna datum och villkor. Avslutade tillfällen behålls som historik och innebär inte att en ny ansökan är öppen.

• Learning Systems

  Halmstad University

  Halmstad

  Startdatum: 18 januari 2027

  Slutdatum: 28 mars 2027

  Studietakt: 50 %