Statistical Analysis in Industrial Systems

Utbildningsfakta

Kod: DVA477

About this 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.

Behörighet

90 credits of which at least 60 credits within natural science or engineering, including 7.5 credits in Single Variable Calculus. The mathematics shall include knowledge of elementary calculus: integrals, derivations, series, and sums. In addition, Swedish course B/Swedish course 3 and English course A/English course 6 are required. For courses given entirely in English exemption is made from the requirement in Swedish course B/Swedish course 3.

Utbildningstillfällen

Varje tillfälle har egna datum och villkor. Avslutade tillfällen behålls som historik och innebär inte att en ny ansökan är öppen.

• Statistical Analysis in Industrial Systems

  Mälardalen University

  Startdatum: 6 oktober 2025

  Slutdatum: 14 december 2025

  Studietakt: 17 %