Department of Industrial & Manufacturing Engineering & Technology

1. Course Title: IME 312 Engineering Statistical Methods 3 Semester Hours

2. Description: Probability models, multi-variable analysis, step-wise design of statistical experiments, regression, response surface analysis, distribution of random vectors, function of random variable sample

3. Prerequisites: IME 311 with C or better

4. Textbook Walpole, R.E., Myers, R.H., Myers, S.L, Ye, K. Probability & Statistics for Engineers & Scientists, 9th edition, Prentice Hall, Boston, 2012. or similar

References: None

5. Course Objectives: Contributes to Student Outcomes (9)

Item / Description / EAC-IE
A. / Use spreadsheet and/or statistical software in problems analysis and solving / a, b, k
B. / Understand concepts of random variables and moment generating functions / a, b, k
C. / Apply appropriate goodness-of-fit testing procedures to validate a probability distribution / a, k
D / Understand the fundamental concepts of least-square methods / a, k
E. / Use statistical software to build a regression model for any given data / a, b, g, k
F. / Understand the basic concepts and impact of statistical design of experiments / a, g, k
G. / Expend from single-factor to multiple factors experimental design / a, b, k
H. / Use statistical software to aid in design of experiment and performance the analysis of variance after the experiment data are collected / a, b, g, k
I. / Understand the basic concepts of response surface methodology / a, b, k
J. / Use statistical software to perform statistical optimization / a, b, k

6. Topics: Contributes to Course Objectives (5.)

I / LECTURES / Objectives
1 / Random variables and moment-generating functions / B, E, F
2 / Goodness-of-fit tests and Contingency Table Tests / B, J
3 / Simple and multiple regression analysis / A, D, E, H, J
4 / Single-Factor Design of Experiment / A, D, F, H, J
5 / Factorial design of experiment / A, D, F, H, J
6 / 2k Factorial design of experiment / A, D, F, H,J
7 / Response surface methodology / A, I
II / LABORATORIES / Objectives
Multiple regression / A, D, E, H, J
Design of experiments / A, D, F, H, J
III / PROJECTS/PAPERS / Objectives
Regression model building—Individual Project / A, D, E, H, J
Single-factor design of experiment—Individual Project / A, D, F, H, J

7. Class Schedule: Three sessions of 50 minutes per week

8. Contribution of Course to Meeting the Professional Component:

Mathematics and Basic Science / 2.0 hrs
Engineering Topics, Engineering Sciences, Engineering Design / 1 .0 hr
General Education / 0.0 hrs

9.Relationship of Course to IE Student Outcomes: (Note: Contribution ranks from 0.5 to 5.0)

Code / Student Outcomes, A Graduate from the Program Will Have: / Contribution
a / Industrial Engineering graduates will have an ability to apply knowledge of mathematics and science to system modeling and to problems related to production processes or services. / 3.50
b / Industrial Engineering graduates will have an ability to design and conduct experiments, and to analyze and interpret data. / 3.00
c / Industrial Engineering graduates will have an ability to design, select, implement, and control a manufacturing or service system and its components or processes to meet desired needs.
d / Industrial Engineering graduates will have an ability to function on multi-disciplinary teams and the ability to apply a concurrent approach and project management to process and product development.
e / Industrial Engineering graduates will have an ability to identify, formulate, and determine optimal solutions to system problems, while considering physical and economic constraints as well as safety and ergonomic issues.
f / Industrial Engineering graduates will have an understanding of the professional and ethical responsibilities of an industrial engineer.
g / Industrial Engineering graduates will have an ability to effectively communicate technical and social concepts through appropriate methods. / 2.00
h / Industrial Engineering graduates will have an understanding of the impact of industrial engineering solutions in a global, economic, environmental, and societal context.
i / Industrial Engineering graduates will have the recognition of the need for, and an ability to engage in lifelong learning.
j / Industrial Engineering graduates will have knowledge of contemporary issues facing engineers.
k / Industrial Engineering graduates will have an ability to use the proper techniques, skills, and modern engineering tools necessary for industrial engineering practice utilizing supporting technologies. / 3.00

10. Prepared by: John Yoo, 02/2013 Reviewed by: Curriculum Committee

New student outcomes updated on 12-28-2012