Student Emmy Kristine Rustad i lab.

DigiPro: Multivariate data analysis

Porsgrunn - Part time

Are you curious about what digitalization means for your company and how you can get better insight into your data?

  • Closing dates: Expired

Study facts

  • Campus: Porsgrunn
  • Study level: Further education
  • Progression of study: Part time
  • Specialization: Multivariate data analysis
  • Start up: Not defined
  • Teaching model: Online and session-based
  • Credits: 5
  • Charge: Free of charge for workers from Elkem, Eramet, Jotun, Hydro and Boliden.
  • Closing dates: Expired
  • Semesters: 1
  • Teaching Language: English
  • Number of students: 20
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Dates and organisation

We start off with a mandatory gathering on campus Porsgrunn, one day, followed by tensections with online videos and exercises. The duration of each section is about one week, total of ten to twelve weeks.

  • Start up date October 20th

We will finish off with a mandatory assignment where the grading is pass or not pass.

The software used will be Unscrambler (USN license) so no requirements for any programming knowledge. However, for participants that are familiar with programming languages like MATLAB, Octave or Python, the assignment can also be solved by programming in one of these programming languages.

What we will teach you

We will give you an understanding of basic design approached and sampling for collecting data from processes. Multivariate analysis of the collected data will show how the production and quality may depend on input variables and how the control of these variables can improve quality. This will include the development and calibration of mathematical models for prediction as a tool to improve quality.

Target group

Target groups include: Managers, project managers and skilled/production workers from Elkem, Eramet, Jotun, Hydro and Boliden.

The DigiPro programme

The Norwegian Directorate for Higher Education and Skillsannounced funding in autumn of 2021 for competence building within vulnerable industrial clusters. DigiPro applied and received funding late 2021 for development of competence-building courses (EVU) for digitalization of the process industry.

The project is a collaboration between the universities and research institutions NTNU, SINTEF, UiA and USN, and the companies Boliden, Hydro, Jotun, Elkem and Eramet. The project is led by USN.

Course offerings

The industrial companies emphasized areas such as technology management, cyber security, and data analysis as the most important areas for skills development. Based on this specification will four courses be developed and implemented in this project, three basic courses in the desired areas for skills development, and an overview course named «Digitalization of the process industry». The overview course is intended to be a course where the candidates can combine the competence from any of the basic courses, based on real challenges within their own companies. The knowledge from the basic courses, together with supervising from the staff at the universities and research institutions, the candidate will make a report documenting valuable solution(s) for the company.
 

DigiPro course overview

 

Costs

These courses prototypes and are free of charge for workers from Elkem, Eramet, Jotun, Hydro and Boliden.

We will at a later time offer these and other courses to all industrial companies at regular costs.

 

Admission requirements

A bachelors degree in a technical discipline and minimum two years working experience in the industry. The working experience must be documented by the employer describing the job and duration.

For the "Digitalization programme for the process industry"-course offered in the spring of 2023, you must have passed minimum one of the basic DIGIPRO courses offered earlier.

Any questions?

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Campus
Teaching model info

How and where classes are offered.

Progression of study info

Expected progress of study. Full time is programmes with full progress of study (60 ECTS credits per academic year, 30 ECTS credits per semester). Part time is programmes with less than full progress of study (less than 60 ECTS credits per academic year, or less than 30 ECTS credits per semester).

Start up
Semesters
Porsgrunn
Online and session-based
Part time
Not defined