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CHEE 209  Analysis of Process Data  Units: 3.50  
Statistical methods for analyzing and interpreting process data are discussed, . Topics include: role of data in assessing process operation, identifying major problems, graphical and numerical summaries, principles of valid inference, probability distributions for discrete and continuous data, and an introduction to linear regression analysis.
(Lec: 3, Lab: 0, Tut: 0.5)
Requirements: Prerequisites: APSC 171 , APSC 172 , APSC 174 Corequisites: Exclusions: STAT 268, STAT 269, MTHE 367   
Offering Term: F  
CEAB Units:    
Mathematics 27  
Natural Sciences 0  
Complementary Studies 0  
Engineering Science 15  
Engineering Design 0  
Offering Faculty: Smith Engineering  

Course Learning Outcomes:

  1. Summarize visualize and interpret data using quantitative and graphical methods.
  2. Apply simple discrete probability models to analyze data related to quality such as particle size and to evaluate risk factors such as safety and environmental compliance.
  3. Apply continuous probability models to assist in decision-making with applications to quality improvement resource estimation safety and environmental compliance.
  4. Formulate confidence intervals and hypothesis tests for mean and variance using standard conditions, with applications including decision-making for quality improvement.
  5. Develop, estimate and analyze linear regression models to describe and predict process and laboratory behaviour.
  6. Use computer software to solve statistical problems.
  

Chemical Engineering

http://queensu-ca-public.courseleaf.com/graduate-studies/programs-study/chemical-engineering/
The Chemical Engineering department is based in Dupuis Hall, which is a multi-purpose facility with extensive research laboratories, and large-and small-group teaching classrooms. Department researchers in the bioengineering and bioremediation聽fields also have laboratory facilities in the聽multi-disciplinary Biosciences complex, Nicole Hall, and in the Centre for Health Innovation at the Kingston Health Sciences Centre. We are a medium-sized department, with sufficient size to ensure a breadth of research activities, yet small enough to foster a cohesive learning environment. Research serials and books are housed in the聽Engineering聽and Science Library, and a variety of search and document delivery facilities are available on-line. Research is being conducted in the fields of materials and interfaces, bioengineering, sustainable energy sources, and data analytics, optimization and control.聽Facilities within the polymer and reaction engineering field include a variety of bench and pilot scale polymerization reactors (gas-phase polyolefin, solution and emulsion free-radical,聽living-radical and condensation polymer聽systems), polymer processing equipment (twin-screw extruder, Haake internal mixer), rotational and capillary rheometers, fuel cell equipment,聽and the biomedical research facilities include cell and tissue culture labs. The Chemical Engineering Analytical Facility (ChEAF) was established for the measurement of polymeric physical, thermal and structural properties, and is supported by the Senior Research Engineer. Physical measurements and chemical analyses are carried out using a variety of instruments such as gas chromatographs, elemental analyzer,聽HPLCs, gel permeation chromatographs, BET surface area analyzer, capillary hydro-dynamic fractionation submicron particle size analyzer, spectrophotometers, IR, FTIR, GC mass spectroscopy, and also by means of novel probes based in light scattering, absorption and fluorescence. Research computations are conducted using a wide range of symbolic computation, numerical analysis, statistical analysis and process simulation software.聽 The research laboratories are supported by two departmental laboratory technologists while the computing facilities are supported by Smith Engineering Information Technology Group.