Skip banner and search formSkip to main navigationSkip to secondary navigationSkip to main contentSkip to footer links
 more options
ENG_header_graphic_2

Engineering Statistics Minor

[ Return to Contents ]

Offered by: Department of Statistical Science and School of Operations Research and Industrial Engineering
Administered by: ORE undergraduate Major consultant, 202 Rhodes Hall
Eligibility: Students in all Majors except Operations Research and Engineering may participate in this minor.
Educational Objectives: This minor requires the student to develop expertise in engineering statistics. The goal of the program is to provide the student with a firm understanding of statistical principles and engineering applications and the ability to apply this knowledge in real-world situations.

Requirements
At least six (6) courses (minimum of 18 credits), chosen as follows:

I. Required Courses

ENGRD 270Basic Engineering Probability and Statistics
OR&IE 360Basic Engineering Probability and Statistics II
or ECE 310Introduction to Probability and Random Signals
 
II. Four courses (11 credits minimum) taken from the following list*
OR&IE 361Introductory Engineering Stochastic Processes I
or ECE 411Random Signals in Communications/Signal Processing
OR&IE 476Applied Linear Statistical Models
OR&IE 576Regression
OR&IE 563Applied Time Series Analysis
OR&IE 575Experimental Design
OR&IE 577Quality Control
OR&IE 580Simulation Modeling and Analysis
MATH 472Basic Probability
or BTRY 409Theory of Statistics
BTRY 602Statistical Methods II
BTRY 603Statistical Methods III
or ILRST 411Statistical Analysis of Qualitative Data
or
ILRST 310Statistical Sampling
ILRST 314Graphical Methods for Data Analysis
ILRST 410Techniques of Multivariate Analysis

Academic Standards
At least C- in each course in the minor and a GPA >2.0 in all courses in the minor.

Note: A student may not receive credit for more than one minor offered by the School of Operations Research and Industrial Engineering.
*Other course options approved by petition in advance. The student should be aware that some of these courses require others as prerequisites. All these courses are cross-listed under the Department of Statistical Science.

[ Return to Contents ]

Intranet | Library | Site Map | Contact Us