|Select the desired Level or Schedule Type to find available classes for the course.|
|IE 33000 - Probability And Statistics In Engineering II|
Credit Hours: 3.00. Continuation of IE 23000. Introduction to statistical inference and experimental design. Correlation, regression, single and multi-factor ANOVA, non-parametric methods. Applications to statistical quality control. Typically offered Fall Spring.
3.000 Credit hours
Levels: Graduate, Professional, Undergraduate
Schedule Types: Distance Learning, Lecture
Offered By: School of Industrial Engr
Department: Industrial Engineering
May be offered at any of the following campuses:
Learning Objectives: 1. Learn use of statistical software packages (e.g. Minitab). 2. Learn parametric statistical tests (e.g. t-test, ANOVA). 3. Learn non-parametric statistical tests. 4. Learn design of experiments (e.g. factorial). 5. Learn how to implement statistical process controls.
(Undergraduate level ENGR 13100 Minimum Grade of D- or Undergraduate level ENGR 14100 Minimum Grade of D-) or (Undergraduate level EPCS 11100 Minimum Grade of D- and Undergraduate level EPCS 12100 Minimum Grade of D-) or (Undergraduate level ENGR 12600 Minimum Grade of D- or Undergraduate level ENGR 12100 Minimum Grade of D-) and (Undergraduate level IE 23000 Minimum Grade of D- or Undergraduate level BME 20500 Minimum Grade of D-)
|Return to Previous||New Search|