Recommended prerequisite for participation in the module

Content, progress and pedagogy of the module

Learning objectives

Knowledge

Students who have passed the module should be able to

• Describe basic concepts of probability theory, statistics and quality control
• Account for relevant statistical software for solving problems in statistics and quality control

Skills

• Choose the right probability model and perform calculations according to the model. This applies to both discrete and continuous distributions
• Handle both one-dimensional as well as multi-dimensional random variables and the related distributions, discrete and continuous
• Calculate the mean, standard deviation for one-dimensional random variables and also be introduced into the calculation and understanding of covariance for multi-dimensional random variables
• Select the right statistical method and make calculations of confidence intervals and do hypothesis testing for one and two random samples, make analysis of variance and regression analysis in terms of continuous as well as discrete probability distributions
• Establish and solve problems in process control and product control, this applies both within continuous as an alternative variation
• Handle both traditional solution techniques as well as software based solutions
• Interpret the results obtained from the correct statistical method including their application
• Set up and use non-parametric tests on qualitative data

Competences

• Engage in a dialogue regarding the optimal choice of method within probability theory, statistics and quality control
• Disseminate the results of the calculations to others, including colleagues, public authorities, etc.

Type of instruction

• Lectures and theoretical exercises

Extent and expected workload

150 hours

Exam

Exams