Multivariate Data Analysis in Engineering
Mälardalen University
Startdatum:
Slutdatum:
Studietakt: 50 %
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Kod: MTK337
<p>The application of multivariate data analysis methods and a tremendous increase in available computational power have opened great opportunities to address present and future engineering challenges. </p><p>If you want to learn how the modern multivariate data analysis, including artificial intelligence (AI) and machine learning algorithms, can be used to address engineering challenges - then this course is for you. </p><p>The course will provide you with the essential knowledge that enhances your capabilities to solve complex engineering problems, within fields such as waste management, energy, agriculture, water management, weather forecasting - and thereby contributing to sustainable development. </p>
120 credits of which 90 credits engineering and/or natural science, and 7.5 credits mathematics. In addition Swedish course B/Swedish course 3 and English course B/English course 6 are required. For courses given entirely in English exemption is made from the requirement in Swedish course B/Swedish course 3.
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Mälardalen University
Startdatum:
Slutdatum:
Studietakt: 50 %
Hämtad: .
Publicerad: .
Publiceringsversion: 8e217193-f5fa-4778-b085-a4521fd03e8d
Kontrollsumma: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c
Senast ändrad enligt källan: 2025-03-18T10:04:53