Forudsætninger/Anbefalede forudsætninger for at deltage i modulet

Modulets indhold, forløb og pædagogik

Objective:                

Students who complete the module:

Læringsmål

Viden

Knowledge:

• have a basic understanding of probability, uncertainty, stochastic processes and independent and conditional probabilities
• know basic probability and statistical models for uncertainties
• have knowledge of discrete and continuous probability distributions and their application
• know of the basic principles of statistical analysis, including data collection
• have knowledge about statistical inferens and hypothesis testing
• know the principles of Markov chains and Monte Carlo methods to simulate probability distributions
• Understands the limitations of models/tools within risk/safety, especially in relation to the input data’s validity and credibility

Færdigheder

Skills:

• are able to use probability distributions to describe stochastic processes
• can estimate statistical parameters from a dataset
• can compute confidence intervals
• can account for the theory behind applied models
• are able to use relevant statistical software to approximate a posteriori probability distributions

Kompetencer

Competencies:

• can assess the applicability of probability theory in a given situation
• are able to use correct professional terminology
• are able to acquire additional knowledge in the field

Undervisningsform

Type og instruction:

Lectures, etc. supplemented with project work, workshops, presentation seminars.

Omfang og forventet arbejdsindsats

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

Eksamen

Prøver