This course starts with an introduction of the basic tools of descriptive statistics, including some properties of Normal Distribution, following with methods of data collection, presentation and analysis. The tools of problem solving for process improvement and the features and phases of efficient experiments are presented. The Design of Experiments (DOE) methods include designs with one variable, two-level factorial designs (full and partial), and Response Surface Methodology. The methods of empirical models building, testing and assessment using Analysis of Variance (ANOVA), and use of the models for process and product optimization are lectured and exercised. Design Expert 5 statistical software is used throughout the course.
- 50% in OPMT 7021
- Not offered this term
- This course is not offered this term through BCIT Part-time Studies. Please check back next term or subscribe to receive email updates.
Design of Experiments (OPMT 8021) is offered as a part of the following programs:
School of Energy
Bachelor of Technology Part-time
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