Forudsætninger/Anbefalede forudsætninger for at deltage i modulet

The module adds to the knowledge obtained in Risk management and Applied statistics and probability theory.

Modulets indhold, forløb og pædagogik

Objective:                

Students who complete the module:

Læringsmål

Viden

Knowledge:

• 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

Færdigheder

Skills:

• 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

Kompetencer

Competencies:

• 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

Undervisningsform

Type og instruction:

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

Omfang og forventet arbejdsindsats

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

Eksamen

Prøver

Prøvens navn	Beslutningstagning
Prøveform	Mundtlig Exam format: Oral exam.
ECTS	5
Bedømmelsesform	Bestået/ikke bestået
Censur	Intern prøve
Vurderingskriterier	Are stated in the Joint Programme Regulations. http:/​/​www.engineering.aau.dk/​digitalAssets/​332/​332984_faellesbestemmelser_230617.pdf