CHG 3337 Data Collection and Interpretation

3 crédits
Genie chimique
Faculte de genie
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.

Volet:

Cours magistral
Tutoriel

Exigences:

Prerequisites: CHG 1125 , CHG 1371 , MAT 2384 .

Terme proposées précédemment:

Automne

Équivalent Français:

Tous Les Professeurs
Moyenne B+ (7.412)
Le plus fréquent: A+ (21%)
400 étudiants

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S

NS

F

D

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B

A-

A+

Nicholas John Burn

5 section de l'Autome 2017 au l'Autome 2023

Moyenne B+ (7.412)
Le plus fréquent: A+ (21%)
400 étudiants

P

S

NS

F

D

C

B

A-

A+