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CHEE 418 Strategies for Process Investigations Units: 3.50
The roles of designed experiments and data analysis procedures in process investigations are discussed. Applications of two-level factorial and fractional factorial designs in screening studies and higher-order designs for response surface characterization and exploration are examined. Least squares procedures for fitting and testing mathematical models, and for assessing model predictions, are described. Empirical in-plant optimization procedures are also considered. Established and evolving approaches for quality and productivity improvement are examined. The design component of this course is the planning and execution of an experimental investigation, the analysis of the resulting data, and the formulation of recommendations on the basis of those results.
(Lec: 3, Lab: 0, Tut: 0.5)
(Lec: 3, Lab: 0, Tut: 0.5)
Requirements: Prerequisites: CHEE 209 and CHEE 331, or permission of the department
Corequisites:
Exclusions: STAT 361
Offering Term: F
CEAB Units:
Mathematics 12
Natural Sciences 0
Complementary Studies 0
Engineering Science 18
Engineering Design 12
Offering Faculty: Smith Engineering
Course Learning Outcomes:
- Assess the existence of systematic relationships between variables using appropriate graphical and quantitative techniques.
- Estimate empirical models between variables using statistical model building and machine learning techniques including multiple linear and non-linear regression.
- Assess the quality of estimated models using graphical and quantitative techniques.
- Evaluate and interpret estimated models taking into account sources of uncertainty and variability.
- Propose programs of experimental investigation taking into account the goals and context of the investigation, screen and prioritize process variables using 2-level factorial designs, and higher-order experimental designs.