Syllabus ESI 4244 ESI6247 Fall 2013

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  • 8/13/2019 Syllabus ESI 4244 ESI6247 Fall 2013

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    ESI 4244 Design of Experiments/ESI6247 Statistical Design Models (not for IE PhD students) - Fall 2013Instructor: Tapas K. Das, Ph.D. Rev. 08/2013

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    EGS ESI 4244 Design of ExperimentsEGS ESI 6247 Statistical Design Models (not for doctoral students in IE)

    Fall 2013 Meetings: TR 8:00-9:15A.M. Instructor: Dr. Tapas K. Das

    Recitation Session: F 7:30-8:30 AM Office: ENC 2400,TR 9:30-10:30 AMRoom: ENB 118 (other times by appointment via email)

    Phone: 974-5585; email: [email protected]; Felipe Feijoo, email: [email protected] hours: MW 2:00-3:00 PM ENC2004 (other times by

    appointment) -------------------------------------------------------------------------------------------------------------------Prerequisite for this Course: EGN 3443 Engineering Statistics IThis course is a Pre-Requisite of: NoneThis course is a Co-Requisite of: None

    Required Text(s): Design and Analysis of Experiments , Douglas C. Montgomery, 7th or 8 th edition

    Supplemental Book(s):1. Experiments: Planning, Analysis, and parameter Design optimization, C. F. Jeff Wu and Michael

    Hamada. Wiley Interscience publication, John Wiley & Sons, Inc. NY.

    Course Objectives

    To learn engineering/statistical techniques to design robust processes, which are minimallyaffected by external sources of variability.

    To learn how to design and conduct experiments, and analyze the resulting data to derive optimal

    process parameters. To be proficient in implementing the problem solving procedures for large scale problems using

    computer spreadsheets (EXCEL spreadsheet, in particular).

    To experience first hand how the theory applies to real world problems through a group projectfrom local industry or research laboratory, and to exercise skills for working in a group andcommunicating the project findings to the class through a formal presentation.

    ABET Student Outcomes (SOs) Addressed by this Course

    SO2 (b) an ability to design and conduct experiments, as well as to analyze and interpret data SO4 (d) an ability to function on multidisciplinary teams

    1. Course Policies

    a. Use of EXCEL (spreadsheet) would be REQUIRED for problem solving. Youwould be required to develop your EXCEL worksheets using basic functions (not

    using built in Data Analysis tool of EXCEL). b. Exams and quizzes will require computer with EXCEL. Class requires you to bring

    your own laptop to each class, quizzes, and exams. MANDATORY laptoppolicy will remain in effect (http://www2.eng.usf.edu/ecomp/laptopconfiguration.asp )

    c. Exams will only be given at the predetermined dates. Early or late exam taking

    mailto:[email protected]:[email protected]:[email protected]://www2.eng.usf.edu/ecomp/laptopconfiguration.asphttp://www2.eng.usf.edu/ecomp/laptopconfiguration.asphttp://www2.eng.usf.edu/ecomp/laptopconfiguration.asphttp://www2.eng.usf.edu/ecomp/laptopconfiguration.aspmailto:[email protected]:[email protected]
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    ESI 4244 Design of Experiments/ESI6247 Statistical Design Models (not for IE PhD students) - Fall 2013Instructor: Tapas K. Das, Ph.D. Rev. 08/2013

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    will not be allowed, except for very special cases approved by the instructor.Students on the WEB sections must take the quizzes and exams on the same dayit is given on Tampa campus.

    d. Quiz dates will be announced in class one week in advancee. One 8.5x11in. one sided formula sheet will be allowed in the in-class quizzes and

    examinations, which are otherwise closed books and notes.2. Course Grading

    Midterm 25 pointsFinal exam 25 pointsQuizzes and other assignments 30 pointsHomework completion 5 pointsGroup Project and presentation 15 points

    Letter grades will be decided as follows:93% and above A+, 90-92%- A, 85-89% -A -, 83-84%-B +, 80-82%-B, 75-79%-B -

    , 73-74%- C +, 70-72%- C, 65-69%-C -, 63-64%-D +, 60-62%-D, 55-59%-D -, at or below 54%-F

    (Curving of grades, if any , will be decided after the final exam )3. Academic Integrity

    Academic honesty is fundamental to the activities and principles of a university. All members ofthe academic community must be confident that each persons work has been responsibly andhonorably acquired, developed and presented. Any effort to gain an advantage not given to allstudents is dishonest whether or not the effort is successful. The academic community regardsacademic dishonesty as an extremely serious matter, with serious consequences that range from

    probation to expulsion. When in doubt about plagiarism, paraphrasing, quoting, or collaborationon assignments, consult the instructor.

    4. USF Policy on Academic Dishonesty and Disruption of Academic ProcessStudents attending USF are awarded degrees in recognition of successful completion ofcoursework in their chosen fields of study. Each individual is expected to earn his/her degree onthe basis of personal effort. Consequently, any form of cheating on examinations or plagiarismon assigned papers constitutes unacceptable deceit and dishonesty. Disruption of the classroomor teaching environment is also unacceptable. This cannot be tolerated in the Universitycommunity and will be punishable, according to the seriousness of the offense, in conformitywith this rule. For more information go to the web sitehttp://www.ugs.usf.edu/catalogs/0203/adadap.htm .

    5. ADA ResourcesThe University recognize s and values students with disabilities. The faculty and administrationstrive to insure that students with disabilities participate in all aspects of university life.Academic accommodations are arranged through the Office of Student Disability Services.The Office of Student Disability Services, located in SVC 1133, (974-4309), is responsible fordetermining eligibility of students for disability status and facilitating services andaccommodations for those who qualify. Accommodations that are developed in collaborationwith students and faculty, include, but are not limited to, extended time on examinations,alternate formats for printed materials, and the services of sign language interpreters.For more information go to the web site http://www.usf.edu/sds .

    6. Grievance ProceduresAdvocacy for issues that are not able to be resolved within the framework of the established

    policies for this course will be handled using the procedures found in the published University of

    http://www.ugs.usf.edu/catalogs/0203/adadap.htmhttp://www.ugs.usf.edu/catalogs/0203/adadap.htmhttp://www.usf.edu/sdshttp://www.usf.edu/sdshttp://www.usf.edu/sdshttp://www.usf.edu/sdshttp://www.ugs.usf.edu/catalogs/0203/adadap.htm
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    ESI 4244 Design of Experiments/ESI6247 Statistical Design Models (not for IE PhD students) - Fall 2013Instructor: Tapas K. Das, Ph.D. Rev. 08/2013

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    South Florida catalog for the relevant academic year. For further information go to the web site:http://www.grad.usf.edu/inc/linked-files/Catalog%20and%20Policies/2010_2011/Section%207_grievance.pdf

    7. Class PoliciesStudents are responsible for all information conveyed during class and on Blackboard (myUSFPortal). No late work will be accepted without prior approval . No make-ups for missedquizzes or exams will be considered without prior arrangement and approval of the instructor.

    Students who anticipate the necessity of being absent from class due to the observation of amajor religious observance must provide notice of the date(s) to the instructor, in writing, by thesecond class meeting.

    Official electronic communications means: your USF assigned e-mail address and the courseweb site in the USF portal (https://my.usf.edu ). It is the student s responsibility to make surethey are receiving their official USF email.

    8. Course WebsiteThe course has a web site in the USF Portal. You can access the course web site athttps://my.usf.edu . You will need a USF NetID and password in order to have access. If you donot already have a USF NetID, you can obtain one by going to https://una.acomp.usf.edu , clicking on Activate your NetID, and filling out a few simple forms.

    Procedure to log onto the website:1. Go to https://learn.usf.edu 2. Log into myUSF using your USF NetID and password.3. Click on the Courses tab, and then click on the course title.4. Look for course information by clicking on the buttons: Announcements, Syllabus,

    Faculty Information, Course Material, Assignments, Books, Communication, VirtualClassroom, Discussion Board, Groups, Web Sites, and Tools.

    Check this website frequently for: Course Syllabus, updated dates for quizzes, exams, and due dates Solutions to previous HW and quizzes Solutions to selected exercise problems Samples of EXCEL worksheets Student grading records. Additional resources and useful web sites. Make sure to check your Blackboard email address regularly (not just your favorite

    Yahoo mail or Gmail or facebook communications)

    http://www.grad.usf.edu/inc/linked-files/Catalog%20and%20Policies/2010_2011/Section%207_grievance.pdfhttp://www.grad.usf.edu/inc/linked-files/Catalog%20and%20Policies/2010_2011/Section%207_grievance.pdfhttps://my.usf.edu/https://my.usf.edu/https://my.usf.edu/https://my.usf.edu/https://my.usf.edu/https://una.acomp.usf.edu/https://una.acomp.usf.edu/https://una.acomp.usf.edu/https://learn.usf.edu/https://learn.usf.edu/https://learn.usf.edu/https://learn.usf.edu/https://una.acomp.usf.edu/https://my.usf.edu/https://my.usf.edu/http://www.grad.usf.edu/inc/linked-files/Catalog%20and%20Policies/2010_2011/Section%207_grievance.pdf
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    ESI 4244 Design of Experiments/ESI6247 Statistical Design Models (not for IE PhD students) - Fall 2013Instructor: Tapas K. Das, Ph.D. Rev. 08/2013

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    By College of Engineering Rule :Only grades of C or better wi ll be accepted in all Math, Science, and Engineering courses.

    Proctoring of Exams and Quizzes for Online Engineering Courses

    Provided by University College - Testing & Proctoring Services

    I. Information needed by online students from instructor.A. Online students who intend to use either On Campus or Off Campus exam proctoring

    services, must, at the beginning of the semester, request proctoring services throughsubmission of the University College Proctor Exam form athttp://www.uc.usf.edu/PDF/proctorrequest.pdf to [email protected] no later than two weeks after the start of the semester.

    B. Identification of an Off Campus proctor is the responsibility of the student. TheConsortium of College Testing Centers (www.ncta-testing.org/cctc ) has identifiedtesting centers across the country that provides proctoring services to DistanceLearning students near their homes.

    C. Off Campus exams should be scheduled by the student with the individual approvedproctor.

    D. On Campus exam appointments should be scheduled by the student with TestingServices ([email protected] ) at least 5 days prior to the exam date.

    E. On the day of the exam, the student must bring a valid picture ID along with allallowed materials to the exam location.

    II. Information regarding selection and approval of Off Campus Proctors.A. Acceptable proctors include:

    University and college testing centers Certified librarians at a school, university, or public library College administrators, instructors, or academic advisors Tutoring and learning centers Education officers of a corporation, or military installation

    Testing services will verify the acceptability of the Off Campus proctor using aproctor registration form. Contact [email protected] .

    http://www.uc.usf.edu/PDF/proctorrequest.pdfhttp://www.uc.usf.edu/PDF/proctorrequest.pdfmailto:[email protected]:[email protected]:[email protected]://www.ncta-testing.org/cctchttp://www.ncta-testing.org/cctchttp://www.ncta-testing.org/cctcmailto:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]://www.ncta-testing.org/cctcmailto:[email protected]://www.uc.usf.edu/PDF/proctorrequest.pdf
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    ESI 4244 Design of Experiments/ESI6247 Statistical Design Models (not for IE PhD students) - Fall 2013Instructor: Tapas K. Das, Ph.D. Rev. 08/2013

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    Tentative Lecture ScheduleClass date Material Homework Assignments

    (will be graded for completion only )Aug 27 Chapter 1Aug 29 Chapter 2 HW: 2.7, 2.11, 2.13, 2.15, 2.22, 2.24, 2.29Aug 30 RecitationSep 3 Chapter 2Sep 5 Chapter 2 Quiz dates, HW and other assignment due dates will beSept 6 Recitation announced in class and communicated via blackboard email Sep 10 Chapter 2Sep 12 Chapter 3 HW: 3.4, 3.6, 3.14, 3.16, 3.20, 3.26, 3.48Sept 13 RecitationSep 17 Chapter 3Sep 19 Chapter 3Sept 20 Recitation (Project group formation and discussion of topics)Sep 24 Chapter 3Sep 26 Chapter 3Sept 27 RecitationOct 1 Chapter 10 HW: 10.2, 10.7, 10.9,10.12Oct 3 Chapter 10Oct 4 RecitationOct 8 Chapter 5 HW: 5.2, 5.4,5.10, 5.18, 5.21Oct 10 Chapter 5Oct 11 RecitationOct 15 Chapter 5Oct 17 Chapter 5 Problem solving and Review for midterm exam Oct 18 RecitationOct 22 Midterm Examination (Covers Chapters 2, 3, 10, and 5, closed book) Oct 24 Chapter 6 HW: 6.1, 6.5, 6.7, 6.9, 6.12, 6.15, 6.28Oct 25 RecitationOct 29 Chapter 6Oct 31 Chapter 6

    Nov 1 Recitation Nov 5 Chapter 6 Nov 7 Chapter 7 HW: 7.2, 7.5, 7.11, 7.16 Nov 8 Recitation Nov 12 Chapter 7 Nov 14 Chapter 8 Nov 15 Recitation Nov 19 Chapter 8 Nov 21 Chapter 8 Nov 22 Industry/Research project group work Nov 26 Problem solving and review for final exam

    Nov 28 Thanksgiving Holiday Nov 29 Thanksgiving HolidayDec 3 Industry/Research project presentationsDec 5 Industry/Research project presentationsDec 6 Problem solving and review for final exam Dec 10 8:00 AM - 9:30 AM Comprehensive Final Exam

    Good Luck and have a great semester!!!