Departments' graduate courses
Course start and periodicity may vary. Please see details for each course for up-to-date information. The courses are managed and administered by the respective departments. For more information about the courses, how to sign up, and other practical issues, please contact the examiner or course contact to be found in the course information.
Developing applications and network protocols for IoT.
- Course code: FDAT110
- Course higher education credits: 3.5
- Department: COMPUTER SCIENCE AND ENGINEERING
- Graduate school: Computer Science and Engineering
- Course start: 2017-10-11
- Course end: 2017-12-31
- Course is normally given: Next start date will be decided by interest.
- Language: The course will be given in English
- Nordic Five Tech (N5T): This course is free for PhD students from N5T universities
The course is centered around two parts:
Seminar sessions to discuss academic papers and programming exercises to gain hands-on experience in using,
developing and evaluating network stacks for IoT.
For the seminar part, the students will read and discuss papers relevent to a topic important for IoT research in
networking, such as the following:
- IoT operating systems
- Network simulators for IoT
IP for low power wireless networks (6lowpan)
- Routing in low power wireless networks (RPL)
- CSMA/CA and asynchronous power saving MAC protocols
- Time synchronized channel hopping (TSCH) and IPv6 over TSCH (6TiSCH)
- Synchronous transmissions based protocols and in-network processing (Glossy, Chaos, A2)
- IoT Testbeds
This list can be extended based on the interest and background of the PhD students.
For the hands-on session, the students participate in actual exercises evaluating and adapting IoT network
The exercises shall cover IoT operating systems, network stacks and testbeds deployments.
The literature list will be presented during the first seminar session and will be mainly based on academic
papers published in peer-reviewed conferences proceedings.
Main lecturer: Beshr Al Nahas
Examiner: Olaf Landsiedel
We plan to invite guest lecturers from academia and industry based on interest and availability.