Decision Making


Recommended prerequisite for participation in the module

The module adds to the knowledge obtained in Risk Management and Applied Statistics and Probability Theory.

Content, progress and pedagogy of the module

Students who complete the module:

Learning objectives


  • Know basic concepts behind the decision making process.
  • Know different decision making tools such as Bayesian networks, decision trees, cost benefit analyses and Monte Carlo simulations.
  • Know different normative, descriptive, prescriptive decision making models.
  • Understand the importance of ethical considerations in relation to applying cost benefit models and decision making tools when considering actions involving health and safety of people.


  • Are able to evaluate the applicability of a decision making model for a specific case.
  • Are able to use the different tools present in software packages.
  • Can use the presented tools to support decision making in a risk management framework.


  • Can develop and apply an appropriate decision making process in a specific case in a risk management context.
  • Can select and apply an appropriate decision making model in a specific case.

Type of instruction

Lectures, etc. supplemented with assignments, workshops, presentation seminars, lab tests.

Extent and expected workload

The module is 5 ECTS which is corresponding to 150 hours of study. 



Name of examDecision Making
Type of exam
Written or oral exam
AssessmentPassed/Not Passed
Type of gradingInternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Additional information

Contact information for Dewan Ahsan: Web:

Facts about the module

Danish titleBeslutningstagning
Module codeB-RSK-K2-6
Module typeCourse
Duration1 semester
SemesterAutumn and Spring
Language of instructionEnglish
Location of the lectureCampus Esbjerg
Responsible for the module


Education ownerMaster of Science (MSc) in Technology (Risk and Safety Management)
Study BoardStudy Board of Built Environment
DepartmentDepartment of the Built Environment
FacultyThe Faculty of Engineering and Science