TNK115 · 6 credits · Advanced level (A1N) · Elektroteknik, Transportsystem
Smart Cities
Active · next start VT 2027
100%
passed the latest regular sitting
KTR1 · 11 Mar 2026 · 13 students
100%
passed the regular sittings, all sittings over the last 5 years
KTR1 · 30 students
This module only reports passing results, so the pass rate does not show how many did not pass.
Part of 2 programmes
Other module
KTR1 Written test
- 5
- 4
Main rounds
100% passed · 30 students
- 100%13
- 100%10
- 100%7
Later rounds
No sittings with at least 5 students.
- Get 4 or 5: 100% (30 students)
Show small sittings (3)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%4
- 100%1
- 100%2
Other modules
Partial exams, hand-ins and labs. They are not part of the figures at the top.
Hand-in or lab
LAB1 Laboratory work
- G
Main rounds
100% passed · 35 students
- 100%13
- 100%10
- 100%5
- 100%7
Later rounds
No sittings with at least 5 students.
Show small sittings (1)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%2
Hand-in or lab
PRA1 Project
- G
Main rounds
100% passed · 29 students
- 100%13
- 100%9
- 100%7
Later rounds
No sittings with at least 5 students.
Show small sittings (4)
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%4
- 100%2
About the course
Aim
This course aims to present a diverse set of topics covering key technological enablers alongside with social aspects of smart cities having in mind the direct application for the benefit of the citizen. Therefore the course will give a broad viewpoint of applications in smart cities spanning from social inclusion and sustainability to smart buildings and intelligent urban fleet management. Thus upon completion of the course the student should be able to have a working knowledge on:
- Social implications of the technological requirements of infusing intelligence in the urban environment
- Identifying resource requirements for smart city solutions ranging from small-scale indoor to city-scale outdoor applications
- Basic functional and networking aspects of sensors and their role within the concept of the “Internet of Things”
- Handling large amounts of diverse data, focusing on gathering and manipulation, meeting anonymity, privacy and security constraints
- Overall scalability issues of solutions in terms of computational and networking resource management
- Identify which of the 17 UN SDGs can be reached, and to what extent, by solutions in the smart city environment
- Programming (Android-based) mobile devices for building up basic components of applications in a smart city context, focusing on solutions for 1) smart buildings, 2) smart transportation
Content
Smart Cities use information and communication technologies (ICT) to be more intelligent and efficient in the use of resources, resulting in cost and energy savings, improved service delivery and quality of life, and reduced environmental footprint – all supporting innovation and a low-carbon economy. Leveraging recent Information and Communications technology advances, we can infuse existing urban infrastructures with new intelligence. By this, we mean digitizing and connecting existing urban resources and systems, so they can sense, analyze and integrate data, and respond intelligently to the needs of their jurisdictions. In short, we can revitalize them so they can become smarter, i.e. more inclusive, sustainable, and more efficient. This process can also enable the emergence of novel applications. Thus cities can grow and sustain a high level of quality of life for their inhabitants. The course covers:
- Smart cities, definitions, domains of application citizen Inclusion and working examples
- Intelligent Buildings; Green Building in a Smart City
- Smart Urban Transportation & Logistics
- The 17 UN Sustainable Development Goals and their role in smart cities
- The Internet of Things as a smart city technological platform
- M2M communication: fundamentals, scalability and protocols
- Sensor Networking and Actuation: towards Cyber-Physical Systems
- Big Data: Crowdsourcing, Security and Data management
- Android programming basics for Lab assignments and Project
- Examiner
- Vangelis Angelakis
- Scheduled hours
- 0 h
- Main field of study
- Elektroteknik, Transportsystem