Smart Cities
- General info (Source: Osiris)
- Other courses recommended by students
- Smart Urban Environments
- Smart Urban Environments
- Survey outcomes (0: low, 5: high)
- Additional information
- Flying a drone and building a 3D model from images
- Programming through NetLogo
- Learning by doing
- How to work with stakeholders and how to create a smart urban solution
- Social theories
- Creating a Digital Twin of the TU/e campus by using drone photogrammetry. The built model could be further used to enhance participation of students and employees in organizing open spaces once the COVID-19 pandemic is over.
- Through NetLogo we had to program a world where we could visualize the effects of the topic and through the use of variables, the world would change differently
- Facilitating a shift from car ownership to undershoot along early residents of the BSD
- We worked with the stakeholders from Stichting stadslandbouw brandevoort on a smart application that could improve social interaction and cohesion in the future brainport smart district. The stakeholders also wanted the solution to be linked to green initiatives in the neighborhood and sustainable goals.
- It was about reducing the carownership of people who are (going) to live in the BSD district. After a research study on carownership preferences and social theories a strategy was created to reduce the carownership.
- Digital Twin and Energy Transition
- Flexible working
- The mobility topics of this course
- Metadata
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Disclaimer: The following data has been collected by SERVICE among students that followed Smart Cities in 2020/2021. Based on this feedback or other causes, it is possible that the course will have a different set up in the future. Keep this in mind when you use these data for selecting your courses.
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| Quartile: | 3 |
| Time Slot: | B |
| Course Type: | Elective |
| Code: | 7LY8M0 |
| Responsible Lecturer: | ir. A.W.J. Borgers |
| ECTS: | 5 |
| Exams: | No |
| Required courses: | None |
| Course description: | The course starts with lectures on topics in the field of smart cities. Next, each team of students selects a relevant and challenging problem related to energy, mobility, or digital communications in urban areas and develops a proposal to solve this problem or challenge. The problem definition and the approach to solve it has to be written down in a report and presented to the fellow students. The problem or challenge has to be solved in the second part of the course. The way how the problem or challenge was solved and the final results have to be described in the final report and presented at the end of the course. Each team of students will be assigned a supervisor to guide the process of writing the proposal and solving the problem or challenge. |
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| Useful follow-up courses: |
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| Applied skills / methods: | |
| Project course: | Yes |
| Chosen topics: | |
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| Data source: | Own survey |
| Applied method: | Questionnaire |
| Response rate: | 30% |
| Sample size: | 6 |
| Academic year: | 2021 |