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Big Data for Automation, 1.5 Credits

Big Data för automation, 1,5 Högskolepoäng

Established: 2025-08-21

Established by: Department of Engineering Science

Applies from: V27

Learning outcomes

After completing the course, the student should be able to:

Knowledge and understanding

• show knowledge of big data systems including fundamental concepts, theories, and industrial applications.
• explain the difference between traditional data and big data.

Competence and skills

• show ability to implement big data systems for industrial automation.

Judgement and approach

• reflect on how ethical and legal aspects limits the use of big data systems.

Entry requirements

General entry requirements and approved result from the following course/courses: PFA600-Programming for Automation or the equivalent.

The forms of assessment of student performance

Individual project with written submission and oral presentation.

Course contents

The course covers big data for use in industrial automation. It includes data collection, database storage, database installation, data analysis, data visualization, and controlling physical or simulated automation equipment based on the analysis.

Other regulations

Course grading: Failed or Passed

Course language: The teaching is conducted in English.

General rules pertaining to examination at University West are available at www.hv.se.

If the student has a decision/recommendation on special support due to disability, the examiner has the right to examine the student in a customized examination form.

Cycle

Second cycle

Progressive specialization

A1F - Second cycle, has second-cycle course/s as entry requirements

Main field of study

Automation