METU | Course Syllabus

Demonstrates a basic understanding of the design process from concept to prototyping.
Demonstrates a basic understanding of quality control activities at the design stage.
Understands the basic principle of robust design, and impact of robust design on the producers, customers and the society.
Identifies control and noise factors, and objectives of a robust design problem correctly, chooses appropriate performance measures.
Understands different robust design methods (Taguchi, response surface).
Understands different variance approximation techniques (numeric integration, Taylor series, Monte Carlo simulation, statistical experimentation), and uses the statistical experimentation method effectively.
Designs appropriate robust design experiments (standard and modified orthogonal arrays, full and fractional factorial designs), and analyzes and interprets data (ANOVA, marginal average plots, confidence intervals) to solve robust design problems.
Uses appropriate statistical package programs effectively to solve robust design problems.
Demonstrates the ability to apply robust design principles and methodology already learned to new problems, and practical problems.
Understands the importance, timing, and methodology of tolerance design in product development.
Understands the meaning of total quality.
Understands the meaning of total quality management, its basic principles and approaches.