Internet of Things

Instructor(s): Prof. Periklis Chatzimisios and Dr. Stavros G. Stavrinides
Hours and Credit Allocation :  30 Hours, 6 Credits
Course Assessment :  Exam & Coursework

 

Learning outcomes
On completing the course, students will be able to:

  • Develop knowledge of embedded system & sensor networks.
  • Acquire a solid overview of the forthcoming technologies in the Internet of Things.
  • Understand the challenged faced by IoT devices in various application domains.
  • Familiarize with different technologies and standards.
Content

  • Embedded systems and real-time operating systems.
  • Programming languages for embedded systems.
  • Sensor networking and technologies.
  • Mobile sensing systems.
  • Smart grid & Intelligent Transportation Systems.

Reading

  • IoT from research and innovation to market development, Overmesant, P.Friess (ed.) Riverpress Publishers.
  • The Internet of Things. Enabling Technologies, Platforms, and Use Cases, Pethuru Raj and Anupama C. Raman, CRC Press.