Digital Transformation of World Economy
Informacje ogólne
Kod przedmiotu: | 130461-D |
Kod Erasmus / ISCED: |
14.3
|
Nazwa przedmiotu: | Digital Transformation of World Economy |
Jednostka: | Szkoła Główna Handlowa w Warszawie |
Grupy: |
Elective courses for IE - bachelors |
Punkty ECTS i inne: |
3.00 (zmienne w czasie)
|
Język prowadzenia: | angielski |
Efekty uczenia się: |
Wiedza: Students acquired knowledge on digital technologies. Students acquired knowledge regarding influence of digital technologies on relevant markets. Students acquired knowledge regarding threats and opportunities related to new digital technologies. Umiejętności: Studens are able to analyze the impact of digital technologies on relevant markets. Studens are able to critically assess the threats and opportunities related to new digital technologies. Studens are able to understand main principles and mechanisms of digital technologies. Kompetencje społeczne: Studens acquired discussion skills. Studens acquired teamwork skills. |
Zajęcia w cyklu "Semestr letni 2024/25" (w trakcie)
Okres: | 2025-02-15 - 2025-09-30 |
Przejdź do planu
PN WT ŚR CZ KON
PT |
Typ zajęć: |
Konwersatorium, 30 godzin
|
|
Koordynatorzy: | (brak danych) | |
Prowadzący grup: | Michał Schwabe | |
Lista studentów: | (nie masz dostępu) | |
Zaliczenie: |
Przedmiot -
Ocena
Konwersatorium - Ocena |
|
Skrócony opis: |
During the lectures students will acquire knowledge with regard to digital revolution and its relevance for the global economy. To this end students will acquire understanding of main technologies driving digitalization of the economy, such as Blockchain, Cloud, Robotic Process Automation, or Artificial Intelligence. In course of studies an impact of those technologies on selected markets and market sectors will also be presented. An attempt will also be made to predict how these markets will be shaped in the long run, assuming the ongoing digitization of the economy. |
|
Pełny opis: |
The aim of this course is to discuss the digital revolution and its relevance for the global economy. To this end students will acquire understanding of main technologies driving digitalization of the economy, such as Blockchain, Cloud, Robotic Process Automation, or Artificial Intelligence. The course will also aim at highlighting the impact of those technologies on selected markets and market sectors. An attempt will also be made to predict how these markets will be shaped in the long run, assuming the ongoing digitization of the economy. |
|
Literatura: |
Literatura podstawowa: Weresa, M., Poland. Competitiveness Report 2019. International Competitiveness in the Context of Development of Industry 4.0, Warsaw 2019. Report: Accenture Technology Vision 2020, Accenture 2020. Report: Technology Outlook 2030. DNV GL, 2020. Literatura uzupełniająca: 1. Banerjee M. et. al., (2018), A blockchain future for internet of things security: a position paper, Digital Communications and Networks,Volume 4, Issue 3, pp.149-160. 2. Miller, T. (2019), Explanation in artificial intelligence: Insights from the social sciences, Artificial Intelligence, Volume 267, February 2019, pp.1-38. 3. Aguirre S., Rodriguez A. (2017), Automation of a Business Process Using Robotic Process Automation (RPA): A Case Study. In: Figueroa-García J., López-Santana E., Villa-Ramírez J., Ferro-Escobar R. (eds) Applied Computer Sciences in Engineering. Communications in Computer and Information Science, vol 742. 4. G. Aceto, V. Persico, A. Pescapé (2020), Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0, Journal of Industrial Information Integration, Volume 18. 5. New Challenges for the European Union's Industrial Policy: climate change, servitisation, digitalisation, ed. A.A. Ambroziak, SGH 2020 |
|
Uwagi: |
Kryteria oceniania: egzamin tradycyjny-pisemny: 40.00% egzamin testowy: 0.00% egzamin ustny: 0.00% kolokwium: 0.00% referaty/eseje: 30.00% ocena z ćwiczeń: 0.00% inne: 30.00% |
Zajęcia w cyklu "Semestr zimowy 2024/25" (zakończony)
Okres: | 2024-10-01 - 2025-02-14 |
Przejdź do planu
PN WT ŚR CZ KON
PT |
Typ zajęć: |
Konwersatorium, 30 godzin
|
|
Koordynatorzy: | (brak danych) | |
Prowadzący grup: | Michał Schwabe | |
Lista studentów: | (nie masz dostępu) | |
Zaliczenie: |
Przedmiot -
Ocena
Konwersatorium - Ocena |
|
Skrócony opis: |
During the lectures students will acquire knowledge with regard to digital revolution and its relevance for the global economy. To this end students will acquire understanding of main technologies driving digitalization of the economy, such as Blockchain, Cloud, Robotic Process Automation, or Artificial Intelligence. In course of studies an impact of those technologies on selected markets and market sectors will also be presented. An attempt will also be made to predict how these markets will be shaped in the long run, assuming the ongoing digitization of the economy. |
|
Pełny opis: |
The aim of this course is to discuss the digital revolution and its relevance for the global economy. To this end students will acquire understanding of main technologies driving digitalization of the economy, such as Blockchain, Cloud, Robotic Process Automation, or Artificial Intelligence. The course will also aim at highlighting the impact of those technologies on selected markets and market sectors. An attempt will also be made to predict how these markets will be shaped in the long run, assuming the ongoing digitization of the economy. |
|
Literatura: |
Literatura podstawowa: Weresa, M., Poland. Competitiveness Report 2019. International Competitiveness in the Context of Development of Industry 4.0, Warsaw 2019. Report: Accenture Technology Vision 2020, Accenture 2020. Report: Technology Outlook 2030. DNV GL, 2020. Literatura uzupełniająca: 1. Banerjee M. et. al., (2018), A blockchain future for internet of things security: a position paper, Digital Communications and Networks,Volume 4, Issue 3, pp.149-160. 2. Miller, T. (2019), Explanation in artificial intelligence: Insights from the social sciences, Artificial Intelligence, Volume 267, February 2019, pp.1-38. 3. Aguirre S., Rodriguez A. (2017), Automation of a Business Process Using Robotic Process Automation (RPA): A Case Study. In: Figueroa-García J., López-Santana E., Villa-Ramírez J., Ferro-Escobar R. (eds) Applied Computer Sciences in Engineering. Communications in Computer and Information Science, vol 742. 4. G. Aceto, V. Persico, A. Pescapé (2020), Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0, Journal of Industrial Information Integration, Volume 18. 5. New Challenges for the European Union's Industrial Policy: climate change, servitisation, digitalisation, ed. A.A. Ambroziak, SGH 2020 |
|
Uwagi: |
Kryteria oceniania: egzamin tradycyjny-pisemny: 40.00% egzamin testowy: 0.00% egzamin ustny: 0.00% kolokwium: 0.00% referaty/eseje: 30.00% ocena z ćwiczeń: 0.00% inne: 30.00% |
Zajęcia w cyklu "Semestr letni 2023/24" (zakończony)
Okres: | 2024-02-24 - 2024-09-30 |
Przejdź do planu
PN WT ŚR CZ WYK
PT |
Typ zajęć: |
Wykład, 30 godzin
|
|
Koordynatorzy: | (brak danych) | |
Prowadzący grup: | Dariusz Mongiało, Michał Schwabe | |
Lista studentów: | (nie masz dostępu) | |
Zaliczenie: |
Przedmiot -
Ocena
Wykład - Ocena |
|
Skrócony opis: |
During the lectures students will acquire knowledge with regard to digital revolution and its relevance for the global economy. To this end students will acquire understanding of main technologies driving digitalization of the economy, such as Blockchain, Cloud, Robotic Process Automation, or Artificial Intelligence. In course of studies an impact of those technologies on selected markets and market sectors will also be presented. An attempt will also be made to predict how these markets will be shaped in the long run, assuming the ongoing digitization of the economy. |
|
Pełny opis: |
The aim of this course is to discuss the digital revolution and its relevance for the global economy. To this end students will acquire understanding of main technologies driving digitalization of the economy, such as Blockchain, Cloud, Robotic Process Automation, or Artificial Intelligence. The course will also aim at highlighting the impact of those technologies on selected markets and market sectors. An attempt will also be made to predict how these markets will be shaped in the long run, assuming the ongoing digitization of the economy. |
|
Literatura: |
Literatura podstawowa: Weresa, M., Poland. Competitiveness Report 2019. International Competitiveness in the Context of Development of Industry 4.0, Warsaw 2019. Report: Accenture Technology Vision 2020, Accenture 2020. Report: Technology Outlook 2030. DNV GL, 2020. Literatura uzupełniająca: 1. Banerjee M. et. al., (2018), A blockchain future for internet of things security: a position paper, Digital Communications and Networks,Volume 4, Issue 3, pp.149-160. 2. Miller, T. (2019), Explanation in artificial intelligence: Insights from the social sciences, Artificial Intelligence, Volume 267, February 2019, pp.1-38. 3. Aguirre S., Rodriguez A. (2017), Automation of a Business Process Using Robotic Process Automation (RPA): A Case Study. In: Figueroa-García J., López-Santana E., Villa-Ramírez J., Ferro-Escobar R. (eds) Applied Computer Sciences in Engineering. Communications in Computer and Information Science, vol 742. 4. G. Aceto, V. Persico, A. Pescapé (2020), Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0, Journal of Industrial Information Integration, Volume 18. 5. New Challenges for the European Union's Industrial Policy: climate change, servitisation, digitalisation, ed. A.A. Ambroziak, SGH 2020 |
|
Uwagi: |
Kryteria oceniania: egzamin tradycyjny-pisemny: 40.00% egzamin testowy: 0.00% egzamin ustny: 0.00% kolokwium: 0.00% referaty/eseje: 30.00% ocena z ćwiczeń: 0.00% inne: 30.00% |
Zajęcia w cyklu "Semestr zimowy 2023/24" (zakończony)
Okres: | 2023-10-01 - 2024-02-23 |
Przejdź do planu
PN WT ŚR CZ PT |
Typ zajęć: |
Wykład, 30 godzin
|
|
Koordynatorzy: | (brak danych) | |
Prowadzący grup: | (brak danych) | |
Lista studentów: | (nie masz dostępu) | |
Zaliczenie: |
Przedmiot -
Ocena
Wykład - Ocena |
|
Skrócony opis: |
During the lectures students will acquire knowledge with regard to digital revolution and its relevance for the global economy. To this end students will acquire understanding of main technologies driving digitalization of the economy, such as Blockchain, Cloud, Robotic Process Automation, or Artificial Intelligence. In course of studies an impact of those technologies on selected markets and market sectors will also be presented. An attempt will also be made to predict how these markets will be shaped in the long run, assuming the ongoing digitization of the economy. |
|
Pełny opis: |
The aim of this course is to discuss the digital revolution and its relevance for the global economy. To this end students will acquire understanding of main technologies driving digitalization of the economy, such as Blockchain, Cloud, Robotic Process Automation, or Artificial Intelligence. The course will also aim at highlighting the impact of those technologies on selected markets and market sectors. An attempt will also be made to predict how these markets will be shaped in the long run, assuming the ongoing digitization of the economy. |
|
Literatura: |
Literatura podstawowa: Weresa, M., Poland. Competitiveness Report 2019. International Competitiveness in the Context of Development of Industry 4.0, Warsaw 2019. Report: Accenture Technology Vision 2020, Accenture 2020. Report: Technology Outlook 2030. DNV GL, 2020. Literatura uzupełniająca: 1. Banerjee M. et. al., (2018), A blockchain future for internet of things security: a position paper, Digital Communications and Networks,Volume 4, Issue 3, pp.149-160. 2. Miller, T. (2019), Explanation in artificial intelligence: Insights from the social sciences, Artificial Intelligence, Volume 267, February 2019, pp.1-38. 3. Aguirre S., Rodriguez A. (2017), Automation of a Business Process Using Robotic Process Automation (RPA): A Case Study. In: Figueroa-García J., López-Santana E., Villa-Ramírez J., Ferro-Escobar R. (eds) Applied Computer Sciences in Engineering. Communications in Computer and Information Science, vol 742. 4. G. Aceto, V. Persico, A. Pescapé (2020), Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0, Journal of Industrial Information Integration, Volume 18. 5. New Challenges for the European Union's Industrial Policy: climate change, servitisation, digitalisation, ed. A.A. Ambroziak, SGH 2020 |
|
Uwagi: |
Kryteria oceniania: egzamin tradycyjny-pisemny: 40.00% egzamin testowy: 0.00% egzamin ustny: 0.00% kolokwium: 0.00% referaty/eseje: 30.00% ocena z ćwiczeń: 0.00% inne: 30.00% |
Właścicielem praw autorskich jest Szkoła Główna Handlowa w Warszawie.