ioe265f11-Lec01 - Lec 01: Overview / Role of Statistics in...

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Lec 01: Overview / Role of Statistics in Engineering IOE 265 - Fall 2011 1 1 Probability and Statistics for Engineers IOE/Stat 265, Fall 2011 Luis M Garcia-Guzman, Ph.D. Asst Res Scientist / Adj Professor class email: IOE265instructors@umich.edu Office: 1782 IOE 2 Some of my background. . Education Background: BS (ITESM-Mexico), MSE and PhD (U of M) --- Industrial Engineering Work Experience: UM Researcher – IOE, UMTRI Past: Product & Industrial Engineer ~ Duroplast (Injection Molding), Consultant in Quality Engineering for Daimler Chrysler, GM. Teaching Experience: IOE 265 – F03, W04, F04, F05, F06, W08, W09, W10, W11 IOE 366 – F07, F08, F09, F10 IOE 465 – W05, W06, W07 IOE 466 – W07 IOE 474 – F09, W10, F10, W11 Six Sigma Green Belt and Black Belt Courses
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Lec 01: Overview / Role of Statistics in Engineering IOE 265 - Fall 2011 2 3 Graduate Student Instructors Chate Eamrungroj Office: TBA E-mail: IOE265instructors@umich.edu Office Hours: TBA Joseph VanValkenburg Office: TBA E-mail: IOE265instructors@umich.edu Office Hours: TBA All Labs are in G610 IOE on Wednesdays 4 Math 116 Engin 101 Other: High Speed Internet Connection Check class email, announcements, access CTools, WebAssign, and Video Archives! ~10-15 hours per week to commit to study Prerequisites
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Lec 01: Overview / Role of Statistics in Engineering IOE 265 - Fall 2011 3 5 Websites Course Materials: https://ctools.umich.edu/portal Video Archives: http://inst- tech.engin.umich.edu/leccap/site/8t5bk7u0ot81g gnh4uh Web Assign (HW Assignments and other Textbook Resources): https://www.webassign.net/login.html ( Class Key : annarbor.umich 8709 5871 ) 6 Course Objectives Build on mathematics knowledge to understand concepts of variability and graphical representations of data Know how to apply basic statistical procedures to solve engineering problems Build a base of skills in drawing conclusions from data using modern statistical software
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Lec 01: Overview / Role of Statistics in Engineering IOE 265 - Fall 2011 4 7 Deterministic Vs. Probabilistic Engineering may be divided into two worlds: deterministic and probabilistic. Most of your current knowledge is deterministic. Assumption: for a given set of inputs you can find a single solution Real world is mostly probabilistic – the inputs/outputs are random processes, there are errors in your estimate! The best answer is a range of values (interval), or a probability That’s okay, this makes life interesting. Engineers ~ must be able to build math models to explain and/or predict random and non-random patterns of behavior. 8 Learning Probability and Stats To be able to think “probabilistically” requires time and persistence. You need to practice solving and visualizing these types of problems – LEARN BY DOING! Recommendation: budget some extra time outside of class to learn/practice this material.
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This note was uploaded on 01/05/2012 for the course IOE 265 taught by Professor Jin during the Fall '07 term at University of Michigan.

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ioe265f11-Lec01 - Lec 01: Overview / Role of Statistics in...

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