• Introduction into Internet of Things (IoT) and Wearable Devices
• Guest Lecture: Gilbert Hödl: Potentials and Challenges for IoT
  
• Overview of computing devices for the IoT  (Raspberry PI, Arduino, Galileo, Edison,  ...)
• Constraint Devices: Operating Systems and Protocols, Wireless Sensor Nodes
• Guest Lecture: Axel Pollers: Storing and querying open data for the IoT
• Development of low-cost Intelligent Devices based on the Intel Galileo or Raspberry PI
• Students project
• Presentations of the students projects

• The miniaturization of computing devices has lead to an emerging class of computing appliances, which are often categorized into Internet of Things (IoT) or wearable devices
  
  
• Due to a cost degression and the large amount of open source software, the development of smart appliances became feasible for application software developers.
  
  

• Acquire basic skills to develop intelligent devices. This comprises knowledge about basic hardware components and protocols as well as choice of basic hardware and software components and development of glue code to recombine these for new application area
  
  
• Student will learn to identify, categorize and understand the major transitions and challenges in the development from classical computing devices (Servers, PCs, Smartphones) into intelligent and programmable devices having the potential to change the way how we interact with our environment.
  
  

According to the examination regulation full attendance is intended for a PI.

• During the course, every student should develop his own smart thing, that communicates with other smart things. It is a goal that the Internet-connected things developed in the students projects should interact between each other (using M2M communication).
  
  
• Students will work together and with the instructor to develop an IoT concept and then implement particular aspects of the design as a prototype. Projects presented at the end of the semester are evaluated by their conceptual strength as well as by their implementation details.
  
  
• Assorted hardware components are available in the New Media Lab, which were made available due to a cooperation with Intel US in the form of Intel Galileo 2 development boards. Students might choose to buy their own components (Arduino with shields, Raspberry PI, sensors)

• Home exercises: 30 credits
  
• Final written project report: 60 credits
• Presentation: 10 credits
  

Recommended CBK-courses:

• Distributed Systems
• Information Systems Development

The course is based on ISE-1 and ISE-2. Programming skills are required.