Quality Engineering

- Evolution of Quality Design and Control
- Statistical Methods and Probability Concepts for Data Characterization
- Statistical Process Control
- Control Charts
- Planned Experimentation
- Design and Interpretation of 2k factorial experiments
- Lean manufacturing and Six Sigma
- Quality Management System and relevant international standards

After completing the course, the student will
Knowledge:
have a deeper understanding of the importance of statistical and probabilistic methods in the concurrent TQM culture.
Skills:
be able to apply probability models and statistical tools to engineering problems.
be able to apply design of experiments (DOE) to laboratory collected data using statistical tools
General Competence:
be able to grasp the possibilities and limitation of existing Quality Engineering tools for manufacturing processes and products

The course will be made accessible for both campus- and remote students. Every student are free to choose the pedagogic arrangement form that are best fitted for her/his own requirement. Lectures that sums up the main issues in the lecture will also be available on internet through NTNU's learning management system. Tutoring is given at campus in accordance to announced times. Tutoring is also available via internet.
 
Compulsory Assignments:
5 individual assessments must be approved to take final assessment