CHG 3337 Data Collection and Interpretation
3 units
Chemical Engineering
Faculty of Engineering
Combinatorial analysis; probability and random variables; discrete and continuous densities and distribution functions; expectation and variance; normal (Gaussian), distributions; statistical estimation and hypothesis testing; method of least squares, correlation and regression. Basic principles and techniques for the efficient design of experiments and effective analysis of data. Topics include: the nature and analysis of process variability, comparing processes, blocking and randomization, empirical model building for quantifying relationships between process inputs and outputs, two-level factorial and fractional factorial designs for screening out inert input variables, other designs, a practical approach to experimental design.
Components:
Lecture
Tutorial
Previously Offered Terms:
Fall
French Equivalent:
Organized
188 responses
4.41
/ 5
Clear Expectations
56 responses
4.61
/ 5
Learned a Lot
188 responses
4.22
/ 5
Recommend
132 responses
3.56
/ 5
Workload
132 responses
2.92
/ 5
Fair Assessments
188 responses