363-1114-00L  Introduction to Risk Modelling and Management

SemesterSpring Semester 2020
LecturersB. J. Bergmann, D. N. Bresch, J. Teichmann
Periodicityyearly recurring course
Language of instructionEnglish


363-1114-00 VIntroduction to Risk Modelling and Management2 hrs
Mon16:15-18:00LEE E 101 »
B. J. Bergmann, D. N. Bresch, J. Teichmann

Catalogue data

AbstractThis course provides an introduction to various aspects of modelling, dealing and managing risk across different industries, contexts and applications. Classes will alternate between risk professionals from industry and government and academics coming from different disciplines.
ObjectiveStudents get familiar with the building blocks of risk modelling: uncertainty, vulnerability, resilience, decision-making under uncertainty. The course looks at different approaches to modelling and dealing as well as mitigating different kind of risks in different industries and get to understand the relation to the decision-making process in business and the value chain of a company. Cases range from enterprise risk management, natural catastrophes, climate risk, energy market risk, risk engineering, financial risks, operational risk, cyber risk and more. An additional emphasis will be on the data-driven approach to smart algorithms applied to risk modelling and management. After taking this course, students should be able to demonstrate that they can identify and formulate a risk analysis problem with quantitative methods in a particular field.
ContentThe course covers the following areas:
1. Fundamentals of Risk Modelling: Probability, Uncertainty, Vulnerability, Decision-Making under Uncertainty
2. Fundamentals of Risk Management and Enterprise Risk Management
3. Risk Modelling and Management across Different areas with invited Speakers
The list of Speakers can be found here: Link
Lecture notesLecture notes and slides will be provided via moodle

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits3 credits
ExaminersB. J. Bergmann, D. N. Bresch, J. Teichmann
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.

Learning materials

No public learning materials available.
Only public learning materials are listed.


No information on groups available.


There are no additional restrictions for the registration.

Offered in

Management, Technology and Economics MasterRecommended Elective CoursesWInformation
MAS in Management, Technology, and EconomicsElectivesWInformation
Quantitative Finance MasterMathematical Methods for FinanceWInformation