# 2018/2019

## 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 Evaluation criteria: Are stated in the Framework Provisions. http:/​/​www.engineering.aau.dk/​digitalAssets/​332/​332984_faellesbestemmelser_230617.pdf

## Fakta om modulet

 Engelsk titel Applied statistics and Probability Theory Modulkode B-RSK-K1G-2 Modultype Kursus Varighed 1 semester Semester Forår ECTS 5 Undervisningssprog Engelsk Undervisningssted Campus Esbjerg Modulansvarlig Anders Schmidt Kristensen

## Organisation

 Studienævn Studienævnet for Byggeri og Anlæg Institut Institut for Byggeri og Anlæg Fakultet Det Ingeniør- og Naturvidenskabelige Fakultet