Prerequisite/Recommended prerequisite for participation in the module

Content, progress and pedagogy of the module

The objective of the course is to introduce the student to concepts and ideas within statistics and how statistics can be applied to problems relevant to engineers in this education.

Learning objectives

Knowledge

• Fundamental concepts in probability, including conditional probability and independence.
• Discrete and continuous random variables and relevant properties of these.
• Various examples of descriptive statistics, e.g. histograms and scatterplots.
• Statistical inference, including estimation, confidence intervals and hypothesis testing.
• Important statistical models, like linear regression (simple and multiple), analysis of variance, logistic regression and log-linear models (in particular contingency tables).

Skills

• Can, given specific data, specify a relevant statistical model and account for the assumptions and limitations of the chosen model.
• Must be able to use relevant software and programming for carrying out the statistical analysis of given data and be able to interpret the results of the analysis.         

Competences

• Must be able to judge the applicability of statistics within own area.
• Is capable of performing a critical judgement of the results of a statistical analysis.
• Should be capable of communicating the results of a statistical analysis to people with no or little background within statistics.

Type of instruction

The teaching is organized in accordance with the general form of teaching. Please see the programme cirruculum §17.

Extent and expected workload

Since it is a 5 ECTS course module the expected workload is 150 hours for the student.

Exam

Exams