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Target audience

Professionals of the manufacturing industry who want to improve their theoretical and practical knowledge in quality control and AI based techniques.

Content

The course includes the following modules: Review of quality control techniques; Sensor data fusion; Introduction to AI and Machine Learning; Supervised and unsupervised learning; Supervised learning and deep learning project.

Prerequisites

Three years of higher education (Bachelor level) in engineering & technology (bachelor’s degree corresponding to 180CP). Alternatively relevant professional work experience.

Attach resume if your application is based on work experience. A template (in Swedish) is available at our website www.hv.se/produktionskurser

Implementation and pedagogic concept

The course is based on University West’s concept of work integrated learning, which aims at integrating both theory and practice in education. Theoretical lectures are combined with case studies and practical examples.

The course format (campus or distance) can vary. The form is stated when the course being announced. The current courses can be found here.

Course code

AIB600

Registration

Course registration via University West’s website www.hv.se/produktionskurser

For more information, please contact produktionskurser@hv.se

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