Digital Transformation of World Economy

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.

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 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

Evaluation criteria

Traditional Written Exam (Multiple choice test, 15 Qs): 30.00%

Multiple Choice Test: 0.00%

Oral Exam: 0.00%

Test: 0.00%

Papers/Essays (20-minute presentation on selected topic): 30.00%

Other (In class discussion): 40.00%

The threshold percentage of absences (excluding lectures)

defined as the proportion of class hours beyond which the achievement of learning outcomes is deemed unattainable: 50%

Detailed passing conditions:

-individual or group presentation (depending on the number of enrolled students)

-discussion based on materials prepared by the Lecturer and the Students

-hybrid exam: single-choice test (20?30 questions) and one open-ended/problem-based question

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.

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 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

Evaluation criteria

Traditional Written Exam (Multiple choice test, 15 Qs): 30.00%

Multiple Choice Test: 0.00%

Oral Exam: 0.00%

Test: 0.00%

Papers/Essays (20-minute presentation on selected topic): 30.00%

Other (In class discussion): 40.00%

The threshold percentage of absences (excluding lectures)

defined as the proportion of class hours beyond which the achievement of learning outcomes is deemed unattainable: 50%

Detailed passing conditions:

-individual or group presentation (depending on the number of enrolled students)

-discussion based on materials prepared by the Lecturer and the Students

-hybrid exam: single-choice test (20?30 questions) and one open-ended/problem-based question

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.

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 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

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.

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 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