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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. 1
