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Statistisk analys i industriella system

  • Högskolepoäng 2.5  hp
  • Utbildningsnivå Avancerad nivå
  • Studieort Distans utan obligatoriska träffar
  • Kurskod DVA477
  • Huvudområde Datavetenskap

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

Tillfällen för denna kurs

Hösttermin 2021

  • Hösttermin 2021

    Omfattning

    2.5 hp

    Tid

    2021-10-04 - 2021-12-12 (deltid 17%)

    Utbildningsnivå

    Avancerad nivå

    Kurstyp

    Fristående kurs

    Anmälningskod

    MDH-24545

    Språk

    Engelska

    Studieort

    Ortsoberoende

    Undervisningsform

    Distans
    Antal obligatoriska träffar inklusive tentamen: 0
    Antal övriga fysiska träffar: 0

    Särskild behörighet

    90 hp varav 60 hp inom naturvetenskap eller teknik, inklusive 7,5 hp i programmering och 7,5 hp Envariabelkalkyl. Matematiken ska innehålla kunskap om grundläggande kalkyl: integraler, derivator, serier och summeringar. Dessutom krävs Svenska B/Svenska 3 samt Engelska A/Engelska 6. I de fall kursen ges på engelska görs undantag från kravet på Svenska B/Svenska 3.

    Urval

    Antal högskolepoäng

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Universitetslektor

Ivan Tomasic

021-10 15 55

ivan.tomasic@mdh.se

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