ISE 325 Engineering Statistics
Catalog Description Review and extension of estimation and test of hypothesis and their application in industrial engineering. Introduction to planned industrial experiments including analysis of variance, regression and design of experiments. Taguchi arrays and their application in quality control.
   
Course objectives The course aims to give students the statistical tools that allow for better designs in the area of industrial engineering, such as selection of best machine parameters, production line setups, product characteristics, service levels, etc.
   
Topics
  Reference chapters Number of lectures
  1. Test of hypothesis

    Sampling, the null and alternative hypothesis, test of hypothesis for single sample, test of hypothesis for two samples, type I and II errors, applications of tests of hypothesis in industrial engineering

 9 and 10 10
  1. Simple linear regression and correlation

    Simple linear regression, hypothesis testing, confidence interval, prediction of new observation, adequacy of a regression model

 11 10
  1. Multiple linear regression

    Multiple linear regression, test of hypothesis, confidence intervals, model adequacy, polynomial regression, indicator variables, selection of variables in multiple linear regression

 12 5
  1. Design and analysis of experiments of single factor

    The completely randomized design, random effects model, randomized complete block design

 13 10
  1. Design and analysis of experiments with several factors

    Introduction to factorial experiment, 2k factorial design, analysis of 22 factorial design

 14 5
   
Sample Exams
   
Statistical tables
   
Statistical tutorials and software guides
   
Additional topics
   
Textbook Applied Statistics and Probability for Engineers, 4th Edition, John Wiley, by D.C. Montgomery and G. C. Runger
   
Computer usage We will use two software packages in this course. Every one is familiar with MS Excel, therefore it will be used for most statistics analysis computations. MINITAB is a more specialized package, hence, it is more powerful.  We will use the functions in MINITAB that are not available in Excel.  Tutorials on Excel and MINITAB will be uploaded to Blackboard.  These tutorials are easy to follow, and we will sometimes illustrate the use of the statistical tools in class.  There will be a computer test at the end of the semester, the students will be tested on the use of statistical tools in Excel and MINITAB.
   
Blackboard Blackboard is an essential part of the course.  Every one is asked to activate his account and log into the course regularly. As a matter of rule, consider the course to be paperless; homework assignments, deadlines, solutions, etc, will be posted and not distributed.

 

 
Attendance Attending the class is mandatory, as stated by KFUPM regulations. Because of the large size of the class and the limited time, attendance will be taken at random times, but no less than three times a week.  Therefore, excuses will not be accepted.  A DN grade will be reported without prior warning.

 

 
Quiz policy Two quizzes will be given in the course. No makeup will be given for any reason.
   
Extra credit study This study is intended to support creative ideas and innovative applications of the course material in industrial settings. Because of its nature, what is expected and delivered in the study cannot be stated precisely, my judgment only will determine the score that will be given to the study. The extra credit study is open to groups and individuals. It is advised that the idea of the study is presented to me before the actual work begins. The deadline for the submission is August 31st, 2009.
   
Method of assessment
Exam 1 in August 11 25
Exam 2 as scheduled by Registrar 25
Quiz (June 27 and August 25) 15
Homework 15
Teaching presentation 20
Extra credit study maximum of 15
Extra credit online discussion 5
Total 100
   
Instructor Dr Muhammad Al-Salamah, Office 22-436, phone 1627, email alias  salamah
   
Institution Industrial and Systems Engineering, Systems Engineering Department, King Fahd University, Saudi Arabia
   
Office hours Daily from 8:30 to 9:15 am. One hour daily from 2 to 3 pm is reserved for teaching presentation groups if they need help and assistance. This hour is only for prior approval, so a group can reserve it at least the day before.
   
Term Summer 2009
   
 

الوصف: استعراض وتمديد دراسة تقدير واختبار الفرضيات وتطبيقاتها في الهندسة الصناعية. مقدمة في تخطيط التجارب الصناعية بما في ذلك تحليل التباين، الانحدار وتصميم التجارب الاحصائية. الصفائف وتطبيقاتها في مراقبة الجودة.

المادة: الإحصاء الهندسي
مدرس المادة: الدكتور محمد بن فهد السلامة

برنامج الهندسة الصناعية و النظم
قسم هندسة النظم
جامعة الملك فهد للبترول و المعادن