Course detail
Smart Cities
FAST-NUA016-AAcad. year: 2022/2023
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.
Language of instruction
English
Number of ECTS credits
4
Mode of study
Not applicable.
Guarantor
Department
Institute of Computer Aided Engineering and Computer Science (AIU)
Learning outcomes of the course unit
Not applicable.
Prerequisites
English basics.
Co-requisites
Not applicable.
Planned learning activities and teaching methods
Not applicable.
Assesment methods and criteria linked to learning outcomes
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.
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.
Work placements
Not applicable.
Aims
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.
Recommended optional programme components
Not applicable.
Prerequisites and corequisites
Not applicable.
Basic literature
Michal Postránecký, Miroslav Svítek, Města budoucnosti, 2018, NADATUR (CS)
Recommended reading
Not applicable.
Classification of course in study plans
- Programme NPC-MI Master's 1 year of study, summer semester, compulsory
Type of course unit
Lecture
26 hod., optionally
Teacher / Lecturer
Syllabus
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.
Exercise
26 hod., compulsory
Teacher / Lecturer
Syllabus
1. Practical examples of visions of cities of the future, the concept of Smart Cities of the world's largest cities, including discussions on the consequences of new approaches, including Big Brother theories. Sample exemplary solutions in the Czech Republic, Europe and the advanced cities of the world.
2. Group work, theory of political functioning of the city. Proposal for e-government solutions within the group with description of purpose, benefits and financial framework.
3. Group work, modern approaches to joint activities leading to innovative proposals in civil society that promote the quality of life of citizens in the city.
4. Practical work with detectors and data transfer over the Internet of Things to understand the basic functionality of these innovative transmission networks.
5. Data sources and their interpretation.
6. Getting acquainted with tools for working with GIS and creating custom data layers on maps.
7. Practical work with traffic data. An example of the monitoring systems used to measure noise and air pollution in the city.
8. Metering capabilities and clever solutions that allow tracking with a downward cut in consumption.
9. Examples of modern urban solutions in the world.
10. Create your own design of a modern city district with a design of services that people need in the immediate vicinity of their home.
11. Excursion to the "Smart Building" example.
12. Getting to know and demonstrating how to work with modeling tools in the field of mobility and the environment. 13. Separate work - Design your own smart city design, smart solution, or application.