The Artificial Intelligence Engineering Group at the Western Norway University of Applied Sciences explores and harnesses the synergies between machine learning engineering, decision theory, and data science to develop novel solutions to complex problems.

• Trygve Buanes
• Dag Toppe Larsen (@dagtl)
• Emil Tomson Lindfors (@EmilLindfors)
• Alexander Lundervold (@alu042)
• PierGianLuca PortaMana (@pglpm)
• Therese Sjursen
• Steffen Mæland (@smaeland)

TBA

TBA

We put a strong emphasis on education and skill development. Through our educational activities, we aim to equip students with foundational understanding, critical and analytic skills, and the ability to apply methods and knowledge across disciplines.

• DAT158: Machine learning engineering
• DAT255: Deep learning engineering
• ADA511: Data-driven engineering
• ELMED219: Artificial intelligence and computational medicine
• PCS956: Recent trends in applied machine learning
• DAT801: Machine learning for business development
• HVL-MMIV-DLN-AI-2022: A hands-on course on artificial intelligence in computational biotechnology and medicine

TBA