TNK116 · 6 credits · Advanced level (A1N) · Elektroteknik, Transportsystem
Internet of Things
Active · next start VT 2027
100%
passed the latest regular sitting
LAB1 · 22 May 2026 · 9 students
94%
passed the regular sittings, all sittings over the last 5 years
LAB1 · 51 students
37%
Harder than 37% of courses at advanced level
Compared with 285 courses at the same level, ordinary exams over the last three academic years. 32 students.
Part of 3 programmes
Hand-in or lab
LAB1 Laboratory Work
- 5
- 4
- 3
- U
Main rounds
94% passed · 51 students
- 100%9
- 87%23
- 100%10
- 100%9
Later rounds
100% passed · 9 students
- 100%9
- Pass a later round: 100% (9 students), compared with 94% (51 students) on the ordinary exam
- Get 4 or 5: 48% (60 students)
Show small sittings (2)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%2
- 100%1
Other modules
Partial exams, hand-ins and labs. They are not part of the figures at the top.
Hand-in or lab
UPG1 Assignments
- 5
- 4
- 3
- U
Main rounds
96% passed · 49 students
- 100%10
- 100%21
- 100%9
- 78%9
Later rounds
No sittings with at least 5 students.
- Get 4 or 5: 82% (49 students)
Show small sittings (7)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
- 100%1
- 100%3
- 100%1
- 100%1
- 100%4
- 100%1
About the course
Aim
After the course the student should be able to:
- Discuss major machine-to-machine (M2M) communication characteristics and analyse them
- Identify and analyse the requirements for network layer support for an Internet of Things (IoT) infrastructure
- Design solutions for integrating smart objects into IoT frameworks
- Design IoT architectures and services
- Evaluate the performance of IoT systems based on identified key performance indicators
Content
This course introduces the design principles of the Internet of Things (IoT), their device and infrastructure-related architectures, technologies and protocol frameworks towards enabling the formation of highly distributed and ubiquitous networks with seamlessly connected heterogeneous objects. The student will learn to design and analyze such networks and architectures to support the development of intelligent services, with different performance requirements, in a variety of application domains.
Specifically, students will be exposed to architectures and methodological paradigms for the Internet of Things, and protocols at the different levels of the IoT stack. They will also learn to map those concepts on an access layer (including sensor, vehicular and cellular networks for machine-to-machine communication) and network layer (with particular emphasis on IPv6-based solutions), and analyze their performance. The course will also introduce technologies and protocols at the service and application layers, which enable the integration of embedded devices in web-based, distributed applications.
- Examiner
- Vangelis Angelakis
- Scheduled hours
- 48 h
- Main field of study
- Elektroteknik, Transportsystem