Program Overview

Statistisk Produkt- och Processutveckling

Course Description

The course treats advanced methods within experimental design and analysis, statistical process monitoring, and reliability analysis. These methods are used to support fact-based decision-making in operations management.

Course Details

• The course builds on quantitative methods in quality engineering introduced at the basic level in the course Quality Development.
• It introduces sequential experimental planning (screening, characterization, optimization), response surface methodology, and experimental design. These are suitable for many more complex industrial conditions, for example, when experiments are difficult to perform in random order.
• Within the area of process monitoring, advanced univariate control charts for variable and attribute data are studied. Multivariate methods for process monitoring, where several variables are monitored simultaneously, are introduced.

Course Structure

• The course contains laboratory elements. Problem-based learning is applied through tasks where students collaborate in groups.
• Students use advanced software for statistical analysis; both commercial software and open-source software such as R or Python are used.

Admission Requirements

• At least 120 credits of completed courses with at least a passing grade, including:
  • Mathematical Statistics (S0001M) 7.5 credits
  • Programming and Digitalization (D0028E) 7.5 credits
  • Industrial Logistics (K0020N) 7.5 credits
  • Quality Development, Basic Course (K0001N) 7.5 credits
  • Applied Data Analysis for Engineers (K0021N) 7.5 credits
  • Differential Calculus (M0047M) 7.5 credits
  • Linear Algebra and Integral Calculus (M0048M) 7.5 credits
  • Linear Algebra and Differential Equations (M0049M) 7.5 credits
  • Multivariable Analysis (M0055M) 7.5 credits
  • Or equivalent knowledge
• Good knowledge of English, equivalent to English 6/level 2

Selection Criteria

• Selection is based on 30-285 higher education credits

Program Information

• The course can be applied for as an elective course by program students at LTU.
• The course can be applied for as an optional course by program students in the following programs:
  • Master of Science in Technical Design, PRTD, term 8
• Mandatory course in the following programs:
  • Master of Science in Industrial Economics, IEOM, term 8

Study Details

• Period: Period 4 - 4, v. - v., schedule module 3+6
• Study Location: Luleĺ
• Study Form: Full-time 50%
• Language: English
• Application Code: LTU-40556

Additional Information

• Single standalone places are available. The course is part of a program.