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ISE 362 – PROBABILISTIC SYSTEMS II
Industrial and Systems Engineering
Fall 2015 4 credits CRN 24254
Overview
Methods of inference involving two independent samples and paired data are presented.
The analysis of variance is examined for single-factor and multi-factor experiments. Regression
analysis for simple linear models and correlation are discussed followed by non-linear and multiple
regression models. A practical, yet fundamental, approach for building quality control charts from
statistical concepts is reviewed at the end of the semester. A lecture on the Goodness-of-Fit test for
testing discrete and continuous underlying distributions completes this class.
Prerequisites: ISE 261 Probabilistic Systems I or permission of the instructor.
Class Times
Instructor
Tuesday & Thursday
Friday
Thomas Koon
Office:
Office Hours:
e_mail:
Teacher Assistant
Tamika Gordon
Class Web Site
www.ws.binghamton.edu/ise362ex
Class Room LH 009 (1:15 to 2:40PM)
Disc FA258 (3:30 to 4:30 PM)
R14 Watson Engineering Building
T/Th 2:45 to 4:10PM or by Appointment
[email protected]
Office:
T-5 (Watson Engineering Building)
Office Hours: T/Th 10 to Noon
e_mail:
[email protected]
Text
Devore, Jay – Probability and Statistics For Engineering And The Sciences,
8th Edition, Duxbury Publishing, CA, 2009.
ISBN-10: 0-538-73352-7
Grade
This course will be graded upon Homework, Quizzes, and Exams (2 hours).
Grade Dependence:
Quizzes (2)
Homework
Mid-term Exam
Final Exam
Total number of points
100 points
100 points
100 points
100 points
400 points
(definite A  340 points)
Homework assignments & due dates will be announced on a bi-weekly basis and listed on the
class web site. Homework submitted after the due date but before the return date will be
penalized in grade. Homework will not be accepted after the return date. One homework grade
(the lowest) will be dropped at the end of the semester. Unless you are told to work in teams,
all work is expected to be of your own achievement.
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