Applied statistics and Probability Theory

2019/2020

Content, progress and pedagogy of the module

Students who complete the module:

Learning objectives

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.

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.

Competences

  • 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.

Type of instruction

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

Extent and expected workload

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

Exam

Exams

Name of examApplied statistics and Probability Theory
Type of exam
Written exam
Written exam based on a case.
ECTS5
Assessment7-point grading scale
Type of gradingInternal examination
Criteria of assessmentAre stated in the Joint Programme Regulations.
http:/​/​www.engineering.aau.dk/​digitalAssets/​332/​332984_faellesbestemmelser_230617.pdf

Facts about the module

Danish titleAnvendt statistik og sandsynlighedsteori
Module codeB-RSK-K1-2
Module typeCourse
Duration1 semester
SemesterSpring
ECTS5
Language of instructionEnglish
Location of the lectureCampus Esbjerg
Responsible for the module

Organisation

Study BoardStudy Board of Civil Engineering
DepartmentDepartment of Civil Engineering
FacultyFaculty of Engineering and Science