Prerequisite/Recommended prerequisite for
participation in the module
This module is based on knowledge gained in the module Linear
Content, progress and pedagogy of the
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.
- 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
- 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).
- Can, given specific data, specify a relevant statistical model
and account for the assumptions and limitations of the chosen
- 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
- Must be able to judge the applicability of statistics within
- 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
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.
|Name of exam||Introduction to Probability and Applied Statistics|
|Type of exam|
Written or oral exam
|Assessment||7-point grading scale|
|Type of grading||Internal examination|