Forudsætninger/Anbefalede forudsætninger for
at deltage i modulet
Prerequisites:
Admission to the program according to 2.1.
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 of 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
Prøvens navn | Anvendt statistik og sandsynlighedsteori |
Prøveform | Skriftlig
Exam format:
Written exam. |
ECTS | 5 |
Bedømmelsesform | 7-trins-skala |
Censur | Intern prøve |
Vurderingskriterier | Vurderingskriterierne er angivet i Universitetets
eksamensordning |