Download IE 211.001 ENGINEERING PROBABILITY AND STATISTICS COURSE SYLLABUS: FALL 2013

IE 211.001 ENGINEERING PROBABILITY AND STATISTICS
COURSE SYLLABUS: FALL 2013
TR 9:30 am – 10:45 am / AGIT 211
Instructor: Dr. Pelin Altintas-de Leon
Assistant Professor
Office Location: Department of Engineering & Technology
Charles J. Austin Engineering & Technology Building (AGIT), Room 215
Office Hours: MW 9:30 am – 12:00 noon or by appointment
Office Phone: (903) 468-8117
Office Fax: (903) 886-5960 (Inform instructor when a fax is sent)
University Email Address: [email protected]
COURSE INFORMATION
Materials – Textbooks, Readings, Supplementary Readings:
Textbook(s) Required: Applied Statistics and Probability for Engineers, Fifth Edition, Douglas C.
Montgomery and George C. Runger
Publisher: John Wiley & Sons, Inc.
ISBN-13: 978-0-470-05304-1
Course Description: This course covers the role of statistics in engineering, probability, discrete
random variables and probability distributions, continuous random variables and probability
distributions, joint probability distributions, random sampling and data description, point
estimation of parameters, statistical intervals for a single sample, and tests of hypotheses for a
single sample. Corequisite: Math 192 – Calculus II
(2013-2014 Undergraduate Catalog, Texas A&M University-Commerce,
http://catalog.tamuc.edu/)
Student Learning Outcomes:
1. Identify the role of statistics in the engineering problem-solving process.
2. Understand the fundamentals of probability, random variables, probability
distribution, and joint probability distribution.
3. Compute and interpret descriptive statistics using numerical and graphical
techniques.
4. Demonstrate knowledge of sampling distributions and point estimation of
parameters.
5. Construct confidence intervals on the parameters of a single sample.
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COURSE REQUIREMENTS
Instructional / Methods / Activities Assessments
This course utilizes lectures, assignments (take home and in-class) to assist students in
achieving the course learning outcomes. The assessment criteria for the stated student learning
outcomes will include assignments, quizzes, midterm exams, and a final exam.
Quizzes: 20% of total course grade
Student learning outcomes #1 through #5
There will be total of 5 quizzes. Problems will be assigned to support the instructional material.
Assignments: 20% of total course grade
Student learning outcomes #1 through #5
There will be total of 10 assignments. Problems will be assigned to support the instructional
material. The assignments will include both take home and unannounced in-class homework.
No late homework will be accepted! Due dates of each take home assignments will be provided
with the assignment sheets.
Exams and final exam: 60% of total course grade
Student learning outcomes #1 through #5
There will be three midterms and a final exam. Students will apply statistical methodology and
techniques to solve applied engineering problems.
Grading
Quizzes
Assignments
Exam 1
Exam 2
Exam 3
Final Exam
20%
20%
15%
15%
15%
15%
Final Grade:
A
B
C
D
F
90 – 100
80 – 89
70 – 79
60 - 69
Below 60
TECHNOLOGY REQUIREMENTS
This is a web based course. The following technologies will be required for this course.
- A scientific calculator
- Minitab software (available to students in the computer lab)
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COURSE AND UNIVERSITY PROCEDURES/POLICIES
Course Specific Procedures:
Course Policies:
- No late assignments will be accepted!
- You will be expected to do all the readings throughout the semester.
- Each exam and quiz will be given in class. Exams and quizzes are open book and
closed notes. Students will need a scientific calculator for exams and quizzes.
Use of unauthorized aids on exams will result in a grade of zero.
- I reserve the right to make changes to this syllabus as needed. The changes will
be announced in class.
- Students are expected to attend all class periods and to be prepared for each
class. Students are expected to refrain from any disruptive behaviors during
class, which includes but not limited to working on assignments/projects from
another course, reading non-course materials, or using the computer for nonclass purposes. Cell phones, iPods, and other electronic devices should be
turned off during class.
- No make-up exams and quizzes will be permitted unless official documentation
for absences is provided (e.g., death in the family, illness).
Academic Dishonesty
Texas A&M University-Commerce will not condone plagiarism in any form. Plagiarism
represents disregard for academic standards and is strictly against University policy.
Plagiarized work can result in a “0” on a given assignment(s) or an “F” for the course as
well as further administrative sanctions permitted under University policy.
Guidelines for properly quoting someone else’s writings and the proper citing of sources
can be found in the APA Publication Manual. If you do not understand the term
“plagiarism”, or if you have difficulty summarizing or documenting sources, contact your
professor for assistance.
University Specific Procedures:
ADA Statement
Students with Disabilities:
The Americans with Disabilities Act (ADA) is a federal anti-discrimination statute that provides
comprehensive civil rights protection for persons with disabilities. Among other things, this
legislation requires that all students with disabilities be guaranteed a learning environment that
provides for reasonable accommodation of their disabilities. If you have a disability requiring
an accommodation, please contact:
Office of Student Disability Resources and Services
Texas A&M University-Commerce
Gee Library- Room 132
Phone (903) 886-5150 or (903) 886-5835
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Fax (903) 468-8148
[email protected]
Student Conduct
All students enrolled at the University shall follow the tenets of common decency and
acceptable behavior conducive to a positive learning environment. (See Code of Student
Conduct from Student Guide Handbook http://www.tamuc.edu/studentLife/documents/studentGuidebook.pdf).
COURSE OUTLINE / CALENDAR
WEEK
DATE
TOPIC
READING
1
August 27
The role of statistics in engineering.
Chapter 1
August 29
The role of statistics in engineering.
Chapter 1
September 3
Probability.
Chapter 2
September 5
Probability.
Chapter 2
September 10
Probability.
Chapter 2
September 12
Probability.
Chapter 2
September 17
Descriptive statistics.
Chapter 6
September 19
Exam 1
September 24
Descriptive statistics.
Chapter 6
September 26
Discrete random variables and probability distributions.
Chapter 3
October 1
Discrete random variables and probability distributions.
Chapter 3
October 3
Discrete random variables and probability distributions.
Chapter 3
October 8
Discrete random variables and probability distributions.
Chapter 3
October 10
Discrete random variables and probability distributions.
Chapter 3
October 15
Exam 2
October 17
Continuous random variables and probability dist.
Chapter 4
October 22
Continuous random variables and probability dist.
Chapter 4
October 24
Continuous random variables and probability dist.
Chapter 4
October 29
Continuous random variables and probability dist.
Chapter 4
October 31
Continuous random variables and probability dist.
Chapter 4
November 5
Joint probability distributions.
Chapter 5
November 7
Exam 3
2
3
4
5
6
7
8
9
10
11
4
WEEK
DATE
TOPIC
READING
12
November 12
Joint probability distributions.
Chapter 5
November 14
Sampling dist. and point estimation of parameters.
Chapter 7
November 19
Sampling dist. and point estimation of parameters.
Chapter 7
November 21
Statistical intervals for a single sample.
Chapter 8
November 26
Statistical intervals for a single sample.
Chapter 8
November 28
Thanksgiving Day / University is closed
December 3
Statistical intervals for a single sample.
Chapter 8
December 5
Statistical intervals for a single sample.
Chapter 8
December 7 –
Final Exam week.
13
14
15
16
December 13
5