Course detail

Smart Cities

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

Not applicable.


English basics.


Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Language of instruction


Work placements

Not applicable.

Course curriculum

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.


Not applicable.

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

Type of course unit



26 hours, optionally

Teacher / Lecturer


26 hours, compulsory

Teacher / Lecturer