Computer Engineering MA, Computer Graphics
Mid Sweden University
Startdatum:
Slutdatum:
Studietakt: 50 %
Publicerad utbildningskatalog
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Kod: DT082A
The student should develop a basic understanding of current machine learning techniques for mining large quantities of data. The student should develop skills in finding interesting patterns and building prediction models by explorative data analysis using data analysis tools based on R or Python, and preparing input, interpreting output and critically evaluating results. The student should show an ability to apply the skills in a small project in an real-world business or engineering application area such as big data visualization, business intelligence analysis, decision support systems, text/web/sensor/geo data mining, context aware applications, intelligent agents or cognitive radio.
Computer Engineering BA (A-C), 90 credits, including 15 credits in programming in C++/Python/Matlab. Mathematics BA (A), 30 credits, including Linear Algebra, 6 credits. Computer Engineering MA, Signal and Image Processing, 6 credits.
Varje tillfälle har egna datum och villkor. Avslutade tillfällen behålls som historik och innebär inte att en ny ansökan är öppen.
Mid Sweden University
Startdatum:
Slutdatum:
Studietakt: 50 %
Hämtad: .
Publicerad: .
Publiceringsversion: 8e217193-f5fa-4778-b085-a4521fd03e8d
Kontrollsumma: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c
Senast ändrad enligt källan: 2025-11-06T08:26:25