Course Package in Autonomous Sensors

Sensors and sensor systems are increasingly used in many application domains, such as industrial and process automation, environmental monitoring, and smart cities. A consequence of this is a growing demand for these systems to operate more autonomously and to be less dependent on existing infrastructures for energy supply and data handling. This course package provides you with a thematic semester on enabling technologies for autonomous sensors. You will learn about low-power techniques and methods for energy harvesting that enable sensor systems to operate energy-autonomously. Moreover, you will learn about embedded machine learning to bring modern data analysis approaches as close to the origin of the data as possible. Finally, you will conduct a project, which will deepen your understanding of this domain, and provide you with a foundation in conducting and communicating research. The course package consists of the following courses: Low-power and Energy-autonomous Systems, 7.5 credits, Machine Learning on Embedded Systems, 7.5 credits, Specialization Project within Autonomous Sensors, 9 credits, and Scientific Writing and Research Methods, 6 credits.