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

doc. Mgr. Tomáš Apeltauer, Ph.D.

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.

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

Ing. Zuzana Švédová, Ph.D.

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

Ing. Zuzana Švédová, Ph.D.

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.