Quantitative Methods in Management (CEMS)

The course Quantitative Methods in Management provides a simple introduction to basic and intermediate mathematical and statistical techniques needed in business management. It focuses on applying quantitative techniques to real-world applications. Whereas theoretical basis is essential to understand the concepts and methods used, it is limited to the necessary minimum and the emphasis is given to case studies.

The main objective of this course is to provide students with adequate knowledge of a quantitative nature, including relevant techniques and tools, for solving managerial decision problems. This objective is accomplished not only through laying necessary theoretical base, but mainly through an extensive use of practical scenarios in the learning process.

Literatura podstawowa:

David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran, Quantitative Methods for Business, Cengage Learning, 2018.

Literatura uzupełniająca:

Glyn Burton, George Carrol, Stuart Wall, Quantitative Methods for Business & Economics, Second Edition, Financial Times-Prentice Hall, 2001.

Barry Render, Ralph M. Stair Jr., Michael E. Hanna, Quantitative Analysis for Management, Prentice Hall, 2011.

Paolo Brandimarte, Quantitative Methods: An Introduction for Business Management, John Wiley & Sons, 2011.

David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, An introduction to management science, Thomson South Western, 2005.

Publikacje własne:

Marek Radzikowski, Determinanty inwestycji prywatnych w Polsce oraz przyczyny ich spadku po 2015 r.,W: red. Marek Radzikowski, Monitorowanie działalności gospodarczej. Gospodarka po pandemii COVID-19,2023;

, red. Marek Radzikowski, Monitorowanie działalności gospodarczej. Gospodarka po pandemii COVID-19,2023;

Elżbieta Adamowicz, Sławomir Dudek, Grzegorz Konat, Marcin Łupiński, Katarzyna Majchrzak, Łukasz Olejnik, Marek Radzikowski, Ewa Ratuszny, Marek Rocki, Konrad Walczyk, Economic situation in Central and Eastern Europe,W: red. Mariusz Strojny, Report of the SGH Warsaw School of Economics and the Economic Forum 2024,2024

Evaluation criteria

Multiple Choice Test (Final test): 35.00%

Papers/Essays (Regular homeworks): 35.00%

Other (Active participation in the class): 20.00%

Individual or Group Presentations (Presentations of assignments): 10.00%

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%

The course Quantitative Methods in Management provides a simple introduction to basic and intermediate mathematical and statistical techniques needed in business management. It focuses on applying quantitative techniques to real-world applications. Whereas theoretical basis is essential to understand the concepts and methods used, it is limited to the necessary minimum and the emphasis is given to case studies.

The main objective of this course is to provide students with adequate knowledge of a quantitative nature, including relevant techniques and tools, for solving managerial decision problems. This objective is accomplished not only through laying necessary theoretical base, but mainly through an extensive use of practical scenarios in the learning process.

Literatura podstawowa:

David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran, Quantitative Methods for Business, Cengage Learning, 2018.

Literatura uzupełniająca:

Glyn Burton, George Carrol, Stuart Wall, Quantitative Methods for Business & Economics, Second Edition, Financial Times-Prentice Hall, 2001.

Barry Render, Ralph M. Stair Jr., Michael E. Hanna, Quantitative Analysis for Management, Prentice Hall, 2011.

Paolo Brandimarte, Quantitative Methods: An Introduction for Business Management, John Wiley & Sons, 2011.

David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, An introduction to management science, Thomson South Western, 2005.

Publikacje własne:

Marek Radzikowski, Leszek Balcerowicz, The Case for a Targeted Criticism of the Welfare State, W: Cato Journal,2018;

Marek RADZIKOWSKI, dr Mieczysław Groszek, An assessment of direct and indirect liabilities of Polish banks AD 2015,2015;

Marek Radzikowski, Kontrowersje w postrzeganiu kredytów w walutach obcych w Polsce i ich weryfikacja w ujęciu ekonomiczno-finansowym, W: Ekonomia - Wroclaw Economic Review,2018

Evaluation criteria

Multiple Choice Test (Final test): 35.00%

Papers/Essays (Regular homeworks): 35.00%

Other (Active participation in the class): 20.00%

Individual or Group Presentations (Presentations of assignments): 10.00%

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%

The course Quantitative Methods in Management provides a simple introduction to basic and intermediate mathematical and statistical techniques needed in business management. It focuses on applying quantitative techniques to real-world applications. Whereas theoretical basis is essential to understand the concepts and methods used, it is limited to the necessary minimum and the emphasis is given to case studies.

The main objective of this course is to provide students with adequate knowledge of a quantitative nature, including relevant techniques and tools, for solving managerial decision problems. This objective is accomplished not only through laying necessary theoretical base, but mainly through an extensive use of practical scenarios in the learning process.

Literatura podstawowa:

David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran, Quantitative Methods for Business, Cengage Learning, 2018.

Literatura uzupełniająca:

Glyn Burton, George Carrol, Stuart Wall, Quantitative Methods for Business & Economics, Second Edition, Financial Times-Prentice Hall, 2001.

Barry Render, Ralph M. Stair Jr., Michael E. Hanna, Quantitative Analysis for Management, Prentice Hall, 2011.

Paolo Brandimarte, Quantitative Methods: An Introduction for Business Management, John Wiley & Sons, 2011.

David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, An introduction to management science, Thomson South Western, 2005.

Publikacje własne:

Marek Radzikowski, Leszek Balcerowicz, The Case for a Targeted Criticism of the Welfare State, W: Cato Journal,2018;

Marek RADZIKOWSKI, dr Mieczysław Groszek, An assessment of direct and indirect liabilities of Polish banks AD 2015,2015;

Marek Radzikowski, Kontrowersje w postrzeganiu kredytów w walutach obcych w Polsce i ich weryfikacja w ujęciu ekonomiczno-finansowym, W: Ekonomia - Wroclaw Economic Review,2018

Evaluation criteria

Multiple Choice Test (Final test): 35.00%

Papers/Essays (Regular homeworks): 35.00%

Other (Active participation in the class): 20.00%

Individual or Group Presentations (Presentations of assignments): 10.00%

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%

The course Quantitative Methods in Management provides a simple introduction to basic and intermediate mathematical and statistical techniques needed in business management. It focuses on applying quantitative techniques to real-world applications. Whereas theoretical basis is essential to understand the concepts and methods used, it is limited to the necessary minimum and the emphasis is given to case studies.

The main objective of this course is to provide students with adequate knowledge of a quantitative nature, including relevant techniques and tools, for solving managerial decision problems. This objective is accomplished not only through laying necessary theoretical base, but mainly through an extensive use of practical scenarios in the learning process.

Literatura podstawowa:

David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran, Quantitative Methods for Business, Cengage Learning, 2018.

Literatura uzupełniająca:

Glyn Burton, George Carrol, Stuart Wall, Quantitative Methods for Business & Economics, Second Edition, Financial Times-Prentice Hall, 2001.

Barry Render, Ralph M. Stair Jr., Michael E. Hanna, Quantitative Analysis for Management, Prentice Hall, 2011.

Paolo Brandimarte, Quantitative Methods: An Introduction for Business Management, John Wiley & Sons, 2011.

David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, An introduction to management science, Thomson South Western, 2005.

Publikacje własne:

Marek Radzikowski, Leszek Balcerowicz, The Case for a Targeted Criticism of the Welfare State, W: Cato Journal,2018;

Marek RADZIKOWSKI, dr Mieczysław Groszek, An assessment of direct and indirect liabilities of Polish banks AD 2015,2015;

Marek Radzikowski, Kontrowersje w postrzeganiu kredytów w walutach obcych w Polsce i ich weryfikacja w ujęciu ekonomiczno-finansowym, W: Ekonomia - Wroclaw Economic Review,2018

The course Quantitative Methods in Management provides a simple introduction to basic and intermediate mathematical and statistical techniques needed in business management. It focuses on applying quantitative techniques to real-world applications. Whereas theoretical basis is essential to understand the concepts and methods used, it is limited to the necessary minimum and the emphasis is given to case studies.

The main objective of this course is to provide students with adequate knowledge of a quantitative nature, including relevant techniques and tools, for solving managerial decision problems. This objective is accomplished not only through laying necessary theoretical base, but mainly through an extensive use of practical scenarios in the learning process.

Literatura podstawowa:

David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran, Quantitative Methods for Business, Cengage Learning, 2018.

Literatura uzupełniająca:

Glyn Burton, George Carrol, Stuart Wall, Quantitative Methods for Business & Economics, Second Edition, Financial Times-Prentice Hall, 2001.

Barry Render, Ralph M. Stair Jr., Michael E. Hanna, Quantitative Analysis for Management, Prentice Hall, 2011.

Paolo Brandimarte, Quantitative Methods: An Introduction for Business Management, John Wiley & Sons, 2011.

David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, An introduction to management science, Thomson South Western, 2005.

Publikacje własne:

Marek Radzikowski, Leszek Balcerowicz, The Case for a Targeted Criticism of the Welfare State, W: Cato Journal,2018;

Marek RADZIKOWSKI, dr Mieczysław Groszek, An assessment of direct and indirect liabilities of Polish banks AD 2015,2015;

Marek Radzikowski, Kontrowersje w postrzeganiu kredytów w walutach obcych w Polsce i ich weryfikacja w ujęciu ekonomiczno-finansowym, W: Ekonomia - Wroclaw Economic Review,2018