Modules
and subjects
A: Urban planning, sustainability and technology
(Obligatory)
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A1.- Territorial planning, urban plans and management
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A2.- Sustainability in urban planning and operation
- A3.- Technology in new approaches to urban management
B: Urban transformation and technical development
(Obligatory)
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B1.- Trends in urbanization and city management
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B2.- Mechanisms, initiatives, maturity and relationship models in cities
C: Infrastructures, intelligent systems and communications
(Obligatory)
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C1.- Definition and management of smart services
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C2.- Communication protocols and infrastructure
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C3.- Integrated and interoperable operation centres
D: IoT Fundamentals
(Obligatory)
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D1.- IoT concepts and architectures
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D2.- Domotic and inmotic architectures and systems
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D3.- Asset management and augmented reality in cities and buildings
E: Fundamentals of data science and data management
(Obligatory)
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E1.- Data analysis, information and big data architectures
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E2.- IoT-based data management
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E3.- Advanced data analysis: EDA, business intelligence, machine learning, artificial intelligence
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E4.- Advanced analytics: Cognitive and prescriptive analytics
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E5.- Analytics applied to cities and buildings
F: Specific management and application domains
(Obligatory)
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F1.- Smart mobility
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F2.- Civil infrastructure management. Case Study on Urban Tunnel Operation Centres
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F3.- Smart grids as the backbone of smart cities
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F4.- Energy models for cities and stakeholders
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F5.- Smart tourism
In the case of company internships, if they are not selected as part of the training programme, they can be carried out externally (non-evaluable).
*Both the syllabus and the timetable are subject to change depending on the availability of the teachers.