Computer Science, Second Cycle, Intelligent Sensor Systems for Green Transition

Education facts

Code: DT730A

This course explores the role of intelligent sensor systems in driving sustainability and enabling the green transition. Participants will learn the fundamentals of sensor technologies and their integration into intelligent, distributed systems. Emphasis is placed on applications in energy efficiency, environmental monitoring, and sustainable automation. The course covers topics such as basic sensor technologies, embedded systems, distributed computing, low-resource machine learning approaches, and federated learning for privacy-preserving, decentralized model training across sensor nodes. Through a combination of lectures, practical examples, and hands-on project work, participants will gain experience in designing and deploying intelligent sensor systems tailored to real-world sustainability challenges.

Entry requirements

At least 180 credits including 15 credits programming as well as qualifications corresponding to the course "English 5"/"English level 1" from the Swedish Upper Secondary School.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Computer Science, Second Cycle, Intelligent Sensor Systems for Green Transition

  Örebro University

  Örebro

  Start date: 1 February 2027

  End date: 11 April 2027

  Pace of study: 25 %