The course focuses on some of the basic insights within IoT (Internet of Things): Why do we want to connect everything? What do we want to connect to? How do we connect everything?
The course initially contains an overview of the concept of IoT, where the effects of connecting previous, unconnected devices to the Internet, and the analysis of the data they generate, are discussed and what impact this has in industries around the world. Other key concepts that the course deals with are “automation“ and “data capture“ and how we by breaking down large amounts of data can gain insights into, or automate, smart behaviors that can lead to optimization of everything from global energy use to improving our health and well-being. The course further deals with the technical and soft skills needed to plan, design, prototype and present, end-to-end IoT solutions. This includes concepts such as sensors, single-board computers, network connections (both wired and wireless) and the ability to program / configure these, as well as the ability to process and analyze the collected data both locally (fog computing) and in the cloud (cloud computing). Concepts such as EDA (Exploratory Data Analysis) and GIS (Geographic Information System) help in understanding how IoT solutions can be improved by choosing the right tools for data collection, analysis, processing and presentation.
Literature lists are published at the latest one month ahead of the course start date.
To Literature ListAsk us about studying at Dalarna University.
support@du.se
+46 23-77 88 88
The course focuses on some of the basic insights within IoT (Internet of Things): Why do we want to connect everything? What do we want to connect to? How do we connect everything?
The course initially contains an overview of the concept of IoT, where the effects of connecting previous, unconnected devices to the Internet, and the analysis of the data they generate, are discussed and what impact this has in industries around the world. Other key concepts that the course deals with are “automation“ and “data capture“ and how we by breaking down large amounts of data can gain insights into, or automate, smart behaviors that can lead to optimization of everything from global energy use to improving our health and well-being. The course further deals with the technical and soft skills needed to plan, design, prototype and present, end-to-end IoT solutions. This includes concepts such as sensors, single-board computers, network connections (both wired and wireless) and the ability to program / configure these, as well as the ability to process and analyze the collected data both locally (fog computing) and in the cloud (cloud computing). Concepts such as EDA (Exploratory Data Analysis) and GIS (Geographic Information System) help in understanding how IoT solutions can be improved by choosing the right tools for data collection, analysis, processing and presentation.
Literature lists are published at the latest one month ahead of the course start date.
To Literature ListAsk us about studying at Dalarna University.
support@du.se
+46 23-77 88 88
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