Education & Training

PROTOTYPE PROGRAMME: Performance Calculation (ID 5.1)

Format: Online

Language: English

EQF level: 5

Instructor: Henrik Thomsen

Dates: September 25-26, 2023

Hours: 15

Host institution: MERCANTEC

Context

For the assessment of equipment, we get still larger datasets to process. In order to process these data, new skills and knowledge is required.

Objectives

This course provides a basic understanding of big data concepts, data sets and basic tools. The objective of this two-day course is to familiarize the participant with big data concepts and various tools for extraction, transformation, and analysis of data. This includes embedded practical exercises during the course.

Pre-requisites

  • Mathematics at a practiced level
  • Analytical, mechanical insight
  • Skills in processing collected data for follow-on analysis

SCHEDULE

25 /September/2023
08:00 – 15:15
  • Introduction to big data and definition of big data
  • Big data concepts and terms
  • The 3 to 10 V’s of big data
  • Structured, semi-structured and unstructured data
  • Data lakes and data warehouse concepts
26 /September/2023
08:00 – 15:15
  • ETL – Extract, transform and load model
  • Handling and processing big data
  • Big data analysis in practice using example applications
  • Case study’s and practical exercises
  • Assessment

This programme is focused on:

  • Professionals working in the Defence and AeroSpace Industry (up-skilling and re-skilling activities) and
  • University undergraduate students

Learning outcomes:

Skills:

  • Skill in processing collected data for follow-on analysis
  • Efficiency calculation and optimization

Knowledge

  • Knowledge about big data concepts
  • Knowledge about tools for extraction, transformation, and analysis of data

IMPORTANT: This free course is only available for partners of the ASSETs+ consortium  and members of our Network. If you are not yet part of our ecosystem, please, click here and become a member.

 For more information, please contact the course provider here.

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