Course: Risk management

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Course title Risk management
Course code MUSKM/1RIME
Organizational form of instruction Lecture + Seminary
Level of course Master
Year of study not specified
Semester Summer
Number of ECTS credits 5
Language of instruction English
Status of course Compulsory, Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Homolka Lubor, Ing. Ph.D.
  • Urbánek Tomáš, Ing. Ph.D.
Course content
"Introduction to the study of risk. Historical development of risk management. "Modern risk management tools using machine learning and data mining approaches. "Scenario analysis. Description of uncertainty by probabilistic models. Introduction to Monte Carlo simulations. "Financial risk management tools, in particular exchange rate risk. "Risk quantification and creation of a multicriteria mathematical model. "Decision - making tasks in managerial practice and their classification. "Tools and methods to support managerial decision-making. "Risk reduction methods. " Crisis management. "Practical approaches to risk management.

Learning activities and teaching methods
unspecified
prerequisite
Knowledge
Basic knowledge of corporate finance.
Basic knowledge of corporate finance.
learning outcomes
Explain the importance of managing both hazard, controlled, and opportunistic risks
Explain the importance of managing both hazard, controlled, and opportunistic risks
Clarify the importance of risk management in an organization in the context of long-term sustainability
Clarify the importance of risk management in an organization in the context of long-term sustainability
Apply risk management methods such as bow-tie and FMEA
Apply risk management methods such as bow-tie and FMEA
Assess the level of uncertainty based on scenario analysis and potentially Monte Carlo methods
Assess the level of uncertainty based on scenario analysis and potentially Monte Carlo methods
Design measures for managing cyber risks (CIS controls)
Design measures for managing cyber risks (CIS controls)
Skills
Utilizes managerial tools for risk management
Utilizes managerial tools for risk management
Calculates the level of uncertainty based on scenario analysis
Calculates the level of uncertainty based on scenario analysis
Proposes measures to mitigate risks about the organization's risk profile (risk map)
Proposes measures to mitigate risks about the organization's risk profile (risk map)
Evaluates the level of utilization of cyber risk tools at the current organization's level (CIS controls)
Evaluates the level of utilization of cyber risk tools at the current organization's level (CIS controls)
Develops solution alternatives based on identified causes and impacts
Develops solution alternatives based on identified causes and impacts
Recommended literature
  • Hopkin, Paul. Fundamentals of Risk Management : Understanding, evaluation and improving effective risk management. 2010. ISBN 978-0-7494-6539-1.
  • James, G., Witten., D., Hastie, T., Tibshirani, R. An introduction to statistical learning: with applications in R..
  • JONES, T. T. Business economics and managerial decision making. Southern Gate, Chichester, West Sussex, England: John Wiley, 2004. ISBN 0471486744.
  • LINDAUER, Roman. Modern risk management remarks. Prague: Oeconomica, nakladatelství VŠE, 2017. ISBN 978-80-245-2206-7.
  • WATSON, M., NELSON, D. Managerial analytics: an applied guide to principles, methods, tools, and best practices. Upper Saddle River, New Jersey: Pearson, 2014. ISBN 978-0-13340742-6.
  • WITTEN, I. H. Data mining: practical machine learning tools and techniques.. Fourth Edition. Amsterdam: Elsevier, 2017. ISBN 9780128042915.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester