Statistical Analysis in Industrial Systems

In this course you will learn state-of-the-art statistical modelling for the purpose of analysing industrial data. The course also presents the basics of relational databases and data manipulation techniques needed to prepare the data for analysis.

About the course

In this course you will learn state-of-the-art statistical modelling for the purpose of analysing industrial data. The course first presents the basics of relational databases and data manipulation techniques needed to prepare the data for analysis.

An overview of the most popular statistical tools will be given. We will focus on the most powerful tool for the statistical data analysis called R, where you will learn how to use regression and ANOVA models for industrial data. Elements of probability theory and mathematical statistics will be provided as needed.

Modern industrial plants and environments measure and store all relevant production variables. In addition to observation, the data can be obtained also by experimentation.
The course provides fundamental elements of applied statistical analysis that can be used to analyse and model the data obtained from industrial plants, as well as elements of probability theory and mathematical statistics needed for a deeper understanding of methods and a reliable interpretation of the analysis’ results.

Course Syllabus

For Course Syllabus use course code DVA477 in the search field

Teacher

Ivan Tomasic, Postdoctoral Fellow
+46 21 10 15 55

 

FutureE

The course is included in the FutureE project, which is partly funded by the Knowledge Foundation. You can find more information about FutureE here .