Text

Statistical Analysis in Industrial Systems

  • Credits 2.5  credits
  • Education ordinance Second cycle
  • Study location Distance with no obligatory meetings
  • Course code DVA477
  • Main area Computer Science

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.

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 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 also be obtained 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 results of the analysis.

Entry requirements

  • 90 credits of which at least 60 credits in one or several of the subjects: Computer science, Electrical engineering, Electronics, including at least 7.5 credits in computer programming, and 7.5 credits in Single Variable Calculus.
  • The mathematics shall include knowledge of elementary calculus: integrals, derivations, series, and sums.
  • In addition English course A/English course 6 is required.

You can also apply for the course and get your eligibility evaluated based on knowledge acquired in other ways, such as work experience, other studies etc.

Language

English

Occasions for this course

Autumn semester 2021

  • Autumn semester 2021

    Scope

    2.5 credits

    Time

    2021-10-04 - 2021-12-12 (part time 17%)

    Education ordinance

    Second cycle

    Course type

    Independent course

    Application code

    MDH-24545

    Language

    English

    Study location

    Independent of location

    Teaching form

    Distance learning
    Number of mandatory occasions including examination: 0
    Number of other physical occasions: 0

    Course syllabus & literature

    See course plan and literature list (DVA477)

    Specific requirements

    90 credits of which at least 60 credits within natural science or engineering, including at least 7.5 credits in computer programming, and 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.

    Selection

    University credits

Questions about the course?

If you have any questions about the course, please contact the Course Coordinator.

Senior Lecturer

Ivan Tomasic

+4621101555

ivan.tomasic@mdh.se

To top