- Mikaila Collymore
- Emil Eugen IUGA
Intermediate
- Credit card
Description
This course is an advanced-level course in smart city design. It focuses on both theoretical and practical aspects of specific technologies that are required when developing smart city solutions.
There is a detailed look at the communications infrastructure that forms the backbone of information and communication technologies (ICTs), which are key factors that determine the effectiveness with which smart cities can be managed and maintained. There will also be an overview of different sensors that are commonly considered for smart city implementation. The role of the built environment, which includes buildings, street furniture, foliage, etc., is also covered, and participants will gain an appreciation of the role played by construction material and other parameters in radiofrequency (RF) propagation, which enables wireless communication networks to transmit information between multiple locations.
This course aims to provide information about practical considerations at different stages in the development of smart cities considering the theoretical foundation behind different technologies. It targets intermediate and senior personnel in Government offices, regulatory authorities, and public and private entities responsible for proposing and installing technology-based smart city solutions. Members of academia in related research fields will also benefit from this course.
Participants should ideally have a basic understanding of ICT technologies for smart city deployment.
Upon completion of this course, participants will be able to:
- Establish links between population demographics and services that are required in a smart city.
- Recognize the different ways that signals may be transmitted over a network.
- Differentiate between different kinds of networks and determine which network is suited for different scenarios.
- Assess factors that impact the placement of data acquisition devices when measuring different parameters.
- Devise a plan for implementing basic smart city technologies
The objectives of this training course will be achieved over 19 days, starting with a brief quiz (MCQ) to determine the initial understanding of the participants before the first session. At the start of the course, reading material will be made available on the platform along with a simple pre-quiz for participants to complete before the first synchronous session. There will be four 2-hr synchronous sessions via the Zoom platform. The first, third, and final sessions will be followed by the posting of individual assignments on the platform to assess the participants’ understanding of the content covered. For the duration of the course, all participants are expected to contribute to online discussion forums, and each post will receive a mark. There will also be up to three MCQ quizzes throughout the duration of the course. There will be a final MCQ test at the end of the course, and persons will have up to 48 hours to complete and submit the test.
The course will use a combination of PowerPoint slides that present relevant background information and theory related to different topics pertaining to the design and development of smart cities. Several scenarios will be covered in a series of activities to engage the participants. A case study will be presented to show an example of the implementation of different components of different cities. The graded quizzes will be used to assess the degree to which participants have improved their understanding of the material presented. Participation will be required for the synchronous sessions and will contribute 5% of the final grade.
A total score higher than 70% is required to obtain the ITU certificate. The course will be assessed as follows:
Attendance : 5%
Discussion Forum Participation : 15%
Assignments / Quizzes : 30%
Final Test : 50%
Day 1 (May 4) : Population Demographics & Smart City Services
Key learning points (detail learning outcomes)
- End-users of smart city systems
- Identification of critical/non-critical needs of end-users
- What services are required in smart cities?
Training activities details
General reading material made available for participants to begin to engage course content. A pre-quiz will be made available for completion before the first synchronous session.
Day 2 (May 7) : Signals and Data Considerations for Smart Ecosystems – A Theoretical Approach
Key learning points (detail learning outcomes)
- Introduction to signals
- Characteristics of smart city data
- Data acquisition in urban and rural spaces
- Bandwidth and data capacity - Designing for different applications
Training activities details
Series of PowerPoint slides that incorporate a mixture of theory and videos. There will be at least one (1) assigned slot for group discussions (approximately 10-15 min each).
Day 3 (May 11) : Smart City Infrastructure: Communications Networks
Key learning points (detail learning outcomes)
- Introduction to basic network concepts
- Radiofrequency (RF) propagation and the ITU
- RF propagation and the built environment
- Internet of Things (IoT)
- Vehicle networks (e.g., V2X)
Training activities details
Brief review of Sessions 1 and 2, followed by PowerPoint slides focusing on smart city infrastructure. There will be assigned slots for group discussions and case studies.
Day 4 (May 14) : Smart City Infrastructure: Sensors and Practical Considerations
Key learning points (detail learning outcomes)
- Introduction to sensors
- Sensor specifications
- Data acquisition considerations
- Sensor integration and deployment
- Examples of smart city sensor applications
- Implementation challenges
- Cost-benefit analysis
- Implications
- Climate change and smart design
Training activities details
Series of PowerPoint slides with theory and videos along with a case study to demonstrate concepts covered and to address practical issues that impact the achievement of smart city objectives.











