Statistical Quality Control
Syllabus, Bachelor's level, 1TG286
- Education cycle
- First cycle
- Main field(s) of study and in-depth level
- Industrial Engineering and Management G1F
- Grading system
- Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
- Finalised by
- The Faculty Board of Science and Technology, 8 October 2021
- Responsible department
- Department of Civil and Industrial Engineering
Participation in courses of 15 credits in industrial engineering and management. Participation in Quality Management 10 credits.
On completion of the course, students should be able to:
- give an account of the concept of probability,
- apply different position and dispersion measures,
- present statistical information in different forms,
- critically analyse the use of statistics and diagrams,
- carry out basic probability calculations and analyses on normally, binomially, Poisson and exponentially distributed data,
- identify and handle different types of variation,
- apply quality controls for normally distributed data,
- give an account of the aim of experimental design and be able to carry out complete factor experiments.
Position and dispersion measures, probabilities, visualisation using different diagrams. Normal, binomial, Poisson and exponential distribution. Statistical quality management, quality controls, capability and the basics of experimental design, and computer-supported data management and calculations.
Lectures, exercises, seminars and laboratory sessions.
Written assignments and laboratory sessions (3 credits). Written examination (2 credits).
If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding targeted pedagogical support from the University's disability coordinator.
The course cannot be included in the same degree as 1TG259 Applied Variation and Statistics in Quality Development.