ENGR4210 — Design of Engineering Experiments
Academic Division: Business, Industry and Technology Academic Discipline: Engineering Assistant Dean: Vincent Palombo PhD 3 Credit(s) This course prepares students to analyze statistically designed experiments and their importance in data analysis, industrial experiments, role of randomization,fixed and random effect models and ANOVA, block design, latin square design, factorial and fractional factorial designs and their analysis. UG 3 Lecture Hour(s); Required Definition of an experiment. Report, quiz, midterm, final 2. Design of experiments statistical problem solvingand analysis. Quiz, midterm 3. Use of Minitab software. Lab work, quiz and midterm, final 4. Design an experiment. Quiz, report 5. Perform a factorial analysis. Quiz, midterm, and final 6. Perform an ANOVA analysis. Quiz, midterm, and final 7. Perform a Weibull analysis. Quiz, midterm, and final 8. Perform a Taguchi analysis. Midterm, and final ABET
Prerequisites: MATH1151