Opinto-opas

Tavoitteet

After completing the course, the student is able to
- define the main quality tools
- choose a suitable software or programming environment for statistical analysis and use it.
- do variance analysis, ANOVA
- represent 2D and 3D data graphically
- make non-linear fits and surface fits and use these to analyze data
- do statistical Design of Experiments (DoE)

Sisältö

-Cause-and-effect diagram
-Check sheet
-Control chart
-Pareto chart
-Stratification
-Nonlinear curve fitting and surface fitting
-Measurement errors
-Analysis of variance, ANOVA
-Design of Experiment, One factor at a time, Factorial Design, Response surface method
-Evaluation of measurement processes

Oppimateriaalit

Sarah E. Burke and Rachel T. Silvestrini. The Certified Quality Engineer Handbook. ASQ Quality Press Milwaukee, Wisconsin 2017
Data Analysis and Design of Experiment:
Michael H. Herzog, Gregory Francis, Aaron Clarke. Understanding Statistics and Experimental Design - How to Not Lie with Statistics. Springer Open. 2019 ISBN 978-3-030-03498-6 ISBN 978-3-030-03499-3 (eBook) https://doi.org/10.1007/978-3-030-03499-3
Franz Kronthaler, Silke Zöllner. Data Analysis with RStudio - An Easy going Introduction. Springer Spectrum and R Studio. 2021 ISBN 978-3-662-62517-0 ISBN 978-3-662-62518-7 (eBook) https://doi.org/10.1007/978-3-662-62518-7.
Amitava Mitra, Fundamentals of quality control and improvement, 4th ed. John Wiley & Sons, Inc., Hoboken, New Jersey. 2016. ISBN 978-1-118-70514-8 (cloth)

Opetusmenetelmät

- On-line videos and lectures
- Independent exercises, quizzes
- Group assignments
- Individual assignments

Pedagogiset toimintatavat ja kestävä kehitys

- Team-based learning in student groups and presentations (substance and communication skills)
- Individual assignments
- Independent working and information retrieval from reference material

Opiskelijan ajankäyttö ja kuormitus

Contact days and lectures: 16 hours (Online working)

-Group work and assignments
-Individual work and assignments

Sisällön jaksotus

- Define the main quality tools
- Establish the quality tools for continuous improvement and problem-solving
- Evaluate critically the applying of quality tools in practice
- Nonlinear curve fitting and surface fitting
- Measurement errors
- Analysis of variance, ANOVA
- Design of Experiment, One factor at a time, Factorial Design, Response surface method
- Evaluation of measurement processes

Online days: 30.9.2022 , 28.10.2022, 3.11.2022, 10.11.2022, 24.11.2022 and 2.12.2022
Online lectures: 16 hours together (2 or 4 hours / day)

Arviointiasteikko

H-5

Arviointimenetelmät ja arvioinnin perusteet

Assessment will be based on the individual and group assignments submitted in the itslearning course platform.

Hylätty (0)

Basic learning outcomes are not met.
Assignments are not returned or the quality is poor or incorrect.

Arviointikriteerit, tyydyttävä (1-2)

Assignments partly returned and the quality is weak.

Arviointikriteerit, hyvä (3-4)

Assignments are returned and the quality is good.

Arviointikriteerit, kiitettävä (5)

All assignments are returned and correctly solved. Solution are correctness are verified and critically evaluated.