FAST-NUA016Acad. year: 2020/2021
The course focuses on the ability to analyze the issue of the city agenda from several levels - urbanism, planning, technology, impact on citizens and the environment. In addition, introduce good examples from abroad, from home scene, brief feasibility studies and socio-economic impacts.
Institute of Computer Aided Engineering and Computer Science (AIU)
Learning outcomes of the course unit
Recommended optional programme components
Recommended or required reading
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Language of instruction
1. Introduction to the concept of "Smart Cities", different views of contemporary cities and the vision of the city of the future.
2. Policy theory and functioning of self-governing units with focus on e-governance issues.
3. Socio-economic view of the city, demographics, present trends and defining the role of a citizen in modern civil society. Quality of life.
4. Transmission and communication networks, the Internet of Things (IoT) and the basics of sensory networking.
5. Big Data issues, evaluation, and storage of data, basic knowledge of supercomputer methods.
6. The basis of Geographic Information Systems (GIS) and Earth Science in the concept of "Smart Cities".
7. Smart mobility, city transport systems and ITS (Intelligent Transport Systems) with a focus on cooperative and autonomous mobility, electromobility and futuristic concepts.
8. Environment, airborne pollutants in urban areas, noise pollution, monitoring and search for causes and solutions.
9. Energy, main energy sources in the city, possible reduction of energy consumption.
10. Modern trends in urbanism, architecture, Smart Living.
11. Smart buildings, design of buildings including the technological possibilities of the present. Definitions of Smart Buildings and a Smart Household.
12. Simulation and modeling tools for the theoretical understanding of the functioning of the city. Work with data.
13. Science, research and use of quantitative methods.
Specification of controlled education, way of implementation and compensation for absences
Extent and forms are specified by guarantor’s regulation updated for every academic year.
Classification of course in study plans
- Programme NPC-MI Master's, 1. year of study, summer semester, 4 credits, compulsory