Faculty of Technical Sciences

Subject: Quantitative Methods of Risk Management (17.IM2416)

Native organizations units: Department of Industrial Engineering and Engineering Management, Chair of Production Systems, Organization and Management
General information:
 
Category Professional-applicative
Scientific or art field
  • Menadžment i investicije u inženjerstvu
  • Proizvodni i uslužni sistemi, organizacija i menadžment
ECTS 4

Introducing students with the application of engineering and statistical methods the companies face in their operations in order to manage the risks of realizing the potential losses. The main objective of this course is to complement and integrate knowledge about the methods used for managing business risks.

Students who take the course and pass the exam are qualified to review the role and importance of the application of engineering and statistical methods in risk management.

Risk in business operations. Introduction to risk analysis tools and techniques. Management of strategic and operational risk. Credit risk management. Risk management in enterprises. Modern trends in risk management. Actual examples of risk management.

Classes include lectures on the subject with examples of domestic and international practice of risk management. In the exercises students are encouraged to work in groups, by solving the case studies in the area covered by the syllabus or by simulating risk management in real time and with real market conditions through educational platforms available online.

Authors Title Year Publisher Language
Frederic S. Mishkin The Economics of Money, Banking and Financial Markets 2004 Pearson English
McNeil, A.J., Rüdiger, F., Embrechts, P. Quantitative Risk Management 2005 Princeton University Press English
Course activity Pre-examination Obligations Number of points
Project Yes Yes 40.00
Lecture attendance Yes Yes 5.00
Exercise attendance Yes Yes 5.00
Oral part of the exam No Yes 50.00
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Prof. Radišić Mladen

Full Professor

Lectures

Asst. Prof. Ferenčak Miroslav

Assistant Professor

Computational classes

Faculty of Technical Sciences

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