University of Warsaw - Central Authentication System
Strona główna

(in Polish) Ekonomia smart city

General data

Course ID: 2400-ZEWW891-OG
Erasmus code / ISCED: 14.3 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0311) Economics The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title: (unknown)
Name in Polish: Ekonomia smart city
Organizational unit: Faculty of Economic Sciences
Course groups: General university courses
General university courses in Faculty of Economics
General university courses in the social sciences
ECTS credit allocation (and other scores): 3.00 Basic information on ECTS credits allocation principles:
  • the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS;
  • the student’s weekly hourly workload is 45 h;
  • 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes;
  • weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS;
  • work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.

view allocation of credits
Language: Polish
Type of course:

general courses

Short description:

The objective of the course is to present the concept of smart city from a theoretical and practical perspective. The classes will show how cities are operate as an organism - social, economic, political; by using innovative technologies, they can cope with the complex challenges of urbanization. The classes will discuss the most important challenges faced by cities: social, demographic, ecological and economic, but focusing mostly on their economic aspect. It will show how cities have dealt with these challenges historically and throughout the industrial revolution, and how the fourth industrial revolution, through the use of digital solutions, changes existing solutions and transforms a traditional city into a smart city.

Full description:

Schedule:

1. History of cities’ development, transformation of their functions, good and bad aspects of city life.

2. City as a complex organism: inhabitants, firms, administration. Connections and interrelations. Contemporary trends in urban development, globalization and urbanization.

3. Sustainable development, cities in the face of climate change, consequences of urban development. Big cities - a big problem?

4. New technologies in the city - data and their use in city services. Examples of intelligent services.

5. The appropriate use of data for the integrated management of urban services. Acquisition and use of data - the city as a platform connecting people, space and things. Examples of integrated solutions.

6. Data sources and data acquisition infrastructure. How to combine data from different sources. How to share data, how to use data for the provision of services. (IoT => Big Data => AI). Legal and organizational problems.

7. Digital exclusion: access to technology, education and supply of equipment. Lack of knowledge, lack of will and lack of motivation. The threat of growing social stratification.

8. Aging society: social and professional activation of elderly people, organization of care and support systems, adaptation of cities to the needs of the elderly.

9. New technologies and social problems - crime, poverty, social exclusion

10.Financing the development of Smart City - where cities can obtain funds (a brief overview of the main sources of city financing, debt financing problems).

11. Public-private partnership as a mechanism to obtain funds and know-how of private entities. Examples of PPP in the implementation of smart urban projects

12. Cities as an element of multilevel governance in the public sector. Problems of implementing the smart city concept in conditions of limited fiscal decentralization.

13-15 Student presentations

Bibliography:

The literature on these issues is very extensive and will be constantly updated with newly published articles, books, reports, Examples of items are:

Agile Cities: Preparing for the Fourth Industrial Revolution, Global Future Council on Cities and Urbanization, World Economic Forum (2018).

Gehl Jan, Życie między budynkami, Wydawnictwo RAM, 2009

Łachowski Wojciech, Janas Karol, 2021, Zarządzanie danymi w miastach. Podręcznik dla samorządów, Kraków-Warszawa 2021, Wydawnictwo naukowe IRMiR

McKinsey Global Institute, Smart cities: digital solutions for a more livable future, McKinsey&Company, 2018

Montgomery Charles, Miasto szczęśliwe, Wysoki Zamek, 2015

Sim David, Miasto Życzliwe, Wysoki Zamek 2020

WHO, Global age-friendly cities, 2007

Wójcik Piotr, Kula Grzegorz. Big Data, Artificial Intelligence, and the sustainable development of cities…… in the (post) COVID-19 era. 2021or press publications.

Learning outcomes:

The student has knowledge of the contemporary problems of cities and smart city as a way of dealing with these problems.

The student knows how new technologies can be used to manage the city

The student is able to name, analyze and look for solutions to the problems of modern cities with the use of new technologies

The student is able to independently and working as a team create and present the results of his own literature analyzes

The student is ready to use his knowledge of smart city by actively participating as a resident, as well as an employee of the city or private company in city management.

Assessment methods and assessment criteria:

Metody i kryteria oceniania The basis for passing and the final grade will be the average of two grades: grades from partial tests; evaluation of the presentation. To pass the course, it is necessary to get a positive grade for each of these elements.

A quick test will summarize each block of classes. We plan 3-4 tests per semester. We will score each test as a percentage, absent is 0%. Finally, the average of the partial grades achieved will be calculated. (0-50% -2, 50% -60% - 3, 60% -70%; 3 +; 70% -80% - 4; 80% -90% 4 +; 90% -100% 5)

Two (or three, depending on the size of the group) classes will be devoted to student presentations. The presentations will show examples of smart city solutions. The presentations can be prepared independently or, with a large group of students, in teams of two.

Classes in period "Winter semester 2023/24" (past)

Time span: 2023-10-01 - 2024-01-28
Selected timetable range:
Navigate to timetable
Type of class:
Seminar, 30 hours more information
Coordinators: Agnieszka Kopańska, Grzegorz Kula
Group instructors: Agnieszka Kopańska, Grzegorz Kula
Students list: (inaccessible to you)
Examination: Course - Grading
Seminar - Grading

Classes in period "Winter semester 2024/25" (future)

Time span: 2024-10-01 - 2025-01-26
Selected timetable range:
Navigate to timetable
Type of class:
Seminar, 30 hours, 15 places more information
Coordinators: Agnieszka Kopańska, Grzegorz Kula, Anna Nicińska
Group instructors: Agnieszka Kopańska, Grzegorz Kula, Anna Nicińska
Students list: (inaccessible to you)
Examination: Course - Grading
Seminar - Grading
Course descriptions are protected by copyright.
Copyright by University of Warsaw.
Krakowskie Przedmieście 26/28
00-927 Warszawa
tel: +48 22 55 20 000 https://uw.edu.pl/
contact accessibility statement USOSweb 7.0.3.0 (2024-03-22)