Direct Analysis of Relations

ESI 4221

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ESI 4221: Empirical Methods for Industrial Engineering

Fall 2015

Course Syllabus

Instructor:

Office:

Class:

E-mail:

Office Hours:

Yiduo Zhan

Engineering II, Room 320

Tuesdays & Thursdays 6:00-7:15pm at Engr II 102

yzhan@knights.ucf.edu

Tuesdays and Thursdays: 1:15-2:00pm

Teaching Assistant:

Office:

E-mail:

Office Hours:

Guanxiang Yun

Engineering II, Room 220

ygx8822@knights.ucf.edu

Friday: 10:00-11:00 am

Textbook:

Myers, J., Well, A., and Lorch, R. Research design and Statistical Analysis, Third

Edition, Routledge, 2010. ISBN-13: 978-0805864311

Reference Book: Montgomery, Douglas, Design and Analysis of Experiments, Fifth Edition, Wiley

& Sons, 2001. ISBN-13: 978-1118146927

Catalog Description: ESI 4221

3(3,0)

Empirical Methods for Industrial Engineering: PR: STA 3032. The main goal of this course is to

develop the student’s understanding and appreciation of the role of using statistical methods and data

analysis techniques in his/her ability to summarize and analyze data for engineering experimental

routines.

Course Prerequisite

Students must have successfully passed an undergraduate-level course in Statistics (STA3032, or

an equivalent course).

Every student is strongly encouraged to review the area of statistics. Each student must complete

a prerequisite quiz that will help determine if a student needs to refresh his/her knowledge of

statistics. The score on this quiz will not count toward a student’s course grade.

Communication

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Webmail via Canvas (Preferred).

Regular Email:

ALL e-mails MUST start with: ESI 4221 your_last_ name and a brief description. Do not

leave this field blank! Please be aware that emails not meeting these instructions might be

missed.

General

Students are expected to read book materials prior to class and be prepared to participate in

discussions. Attainment of the course learning objectives requires active engagement by the student....