This translation is for information purposes only. In the event of discrepancies, the Swedish-language version takes precedence.

Statistical process control and Design of experiments, 7.5 Credits

Statistisk processtyrning och försöksplanering, 7,5 Högskolepoäng

Established: 2026-02-26

Established by: Department of Engineering Science

Applies from: H26

Learning outcomes

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

Knowledge and understanding:

• show in-depth knowledge and understanding of concepts and methods within statistical process control.

Competence and skills:

• demonstrate skill and ability to apply statistical methods in statistical process control.
• demonstrate skill and ability to establish relationships between experimental results and the theoretical framework.
• apply experimental design and analyze the effects through regression and residual analysis.

Judgement and approach:

• identify and formulate problems that can be solved using statistical process control.

Entry requirements

Degree of Bachelor of Science in mechanical engineering, manufacturing engineering, industrial engineering or equivalent. The Bachelor of Science degree must be comprised of at least 15 credits of mathematics including basic knowledge of analysis, linear algebra and statistics. In addition, verified knowledge of English corresponding to the course English 6/English level 2 in the Swedish high school or equivalent.

The forms of assessment of student performance

Indvidual written exam. Laboratory in group with groupwise oral presentation.

The re-examination can be carried out via oral examination in agreement with the examiner.

Course contents

The course covers applied statistics for process control. It includes fundamental quality management, quality control, and quality improvement, where statistical inference constitutes a central part within both quality control and quality improvement. The student will work with control charts for attribute and variable data and perform capability analysis with confidence intervals as well as experimental design and process improvements through regression analysis.

Other regulations

Course grading: F/Fx/E/D/C/B/A - Insufficient, Insufficient- more work required before the credit can be awarded, Sufficient, Satisfactory, Good, Very Good, Excellent

Course language: The teaching is conducted in English.

General rules pertaining to examination at University West are availible 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

A1N - Second cycle, has only first-cycle course/s as entry requirements