IE 3320
Dr. Perez
Ingram School of Engineering
IE 3320 Engineering Statistics
Course Syllabus
INSTRUCTOR
Eduardo Pérez, Ph.D.
eduardopr@txstate.edu
http://uweb.txstate.edu/~e_p86
Office: RFM 2215
Office Hours: M,W 3:00PM-5:00PM or by appointment
Phone: 512-245-4467
CLASS SCHEDULE
Lecture: Mondays and Wednesdays
11:00AM–12:20PM in RFM 05242
COURSE DESCRIPTION
Fundamentals of probability and statistical inference for engineering applications, probability
distributions, parameter estimation, hypothesis testing, and analysis of variance.
PREREQUISITES
MATH 2472: Calculus II
COURSE OBJECTIVES
Upon successful completion of this course, students will be able to design and conduct experiments as
well as analyze and interpret data and use probability models to solve engineering problems.
Students will demonstrate their ability to:
 Develop simple graphs and compute summary statistics, and interpret their meaning for solving
engineering problems.
 Use probability models to describe uncertainty and to make decisions.
 Use sample summary statistics to make inferences about the underlying means, variances and
proportions to solve engineering problems.
 Build simple empirical models from data.
HOW WE WILL PURSUE THE OBJECTIVES
 Two times a week, this class will meet for 80 minutes.
 Besides lectures, a good bit of classroom time will be devoted to answering questions, working
examples, and taking quizzes.
 Quizzes will be given on lectures and readings. Quizzes will be given almost every two weeks,
but not on test weeks. At least 1 of the quizzes will be dropped in computing final grades.
 Three exams and a Final will be given to assess students' comprehension level of the course
material.
TEXTBOOK AND ADDITIONAL COURSE MATERIAL
Textbook
 R.E Walpole, R.H. Myers, S.L. Myers, and K. Ye. (2012). “Probability & Statistics for Engineers and
Scientists”. 9th Ed. Prentice Hall: New Jersey. (required).
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References
 D.C. Montgomery and G.C. Runger. (2011). “Applied Statistics and Probability for Engineers”. 5th
Ed. Wiley: New York.
EXAM SCHEDULE (tentative)
Exam 1: Monday, September 29 (class period);
Exam 2: Wednesday, October 29 (class period);
Exam 3: Wednesday, December 3 (class period);
Final Exam: Wednesday, December 10 (8:00AM-10:30AM);
HOMEWORK, QUIZZES and LABS
Homework will be assigned. Only some of the homework assignments will be collected for
grading. I will announce which assignments have to be submitted. Those assignments that you are
not required to submit will be evaluated with a quiz.
Assignments are due at the beginning of the lecture. Submitted work must be professionally
presented without exception (i.e. clean, organized, properly labeled, etc.). No late work will be
accepted; make-up assignments will not be given. Any student who fails to submit a graded
assignment on-time will be awarded a zero score (“0”) unless there exists legitimate
medical/emergency reasons and valid documentation is furnished.
Labs are practice problems assigned during the class period. You will be required to work in small
groups and submit your answers before the end of class period.
GRADING SCHEME
The course grade is as follows: 10% for the homework and quizzes, 22% for each of the three
exams, and 24% for the final exam (Without the final, the first, second, and third exam will have a
weight of 30% each).
Grades distribution
Final Exam Option
Homework, Quizzes,
10%
and Labs
Exam 1
22%
Exam 2
22%
Exam 3
22%
Final
24%
Grades distribution
No Final Exam Option
Homework, Quizzes,
10%
and Labs
Exam 1
30%
Exam 2
30%
Exam 3
30%
s
S
The grades are 90-100% is an A, 80-89.99% is a B, 70-79.99% is a C, 60-69.99% is a D, and less than
60% is an F. Without the final, grades are truncated; thus, 89.99% is a B without the final. If a test is
missed, you must have a written authorized excuse. If possible, please let me know before the test;
otherwise, I must be notified within two days of your return to school. Missing an exam or quiz
without a written authorized excuse will result in a 0 grade for that item. Any disagreements
regarding a grade received on any material must be discussed within one week of the return of the
graded material. No grade will be changed beyond the one week limit. Plagiarism will not be
tolerated, and will result in an F in the course.
COURSE WEB SITE: TRACKS: https://tracs.txstate.edu/portal/login
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Dr. Perez
Attendance Policy
Punctuality and regular participation in lectures is strongly encouraged. Do not arrive late or leave
the classroom during the lecture unless is an emergency.
Non-Attendance and Financial Aid
If you are a Pell Grant, Iraq-Afghanistan Service Grant (IASG) or TEACH Grant recipient, federal
regulations require you to have begun attending the courses for which you are enrolled and
receiving these grants. If on the census date roster (e.g., 12th day of each fall and spring semester)
you are reflected as not attending a course, you are assumed (for financial aid purposes) not to
have begun attendance for that course. Your grant will then be adjusted or cancelled based on the
courses you have actually begun attending.
Unofficial Withdraws and Financial Aid
If you fail to earn a passing grade in at least one of your courses (i.e., all U’s, all I's or a combination
of all U's, W's or I's) during a semester, you are considered to have, for purposes of federal Title IV
funds, unofficially withdrawn from the university. As a result, a federal withdrawal calculation must
be performed to determine the amount of Title IV funds that you must repay. Once the amount
you must repay is determined, Financial Aid and Scholarships will mail you a letter with the
repayment details.
Note: A grade of U (Unearned Failing) is awarded to students who do not officially withdraw from
but fail to complete a course (i.e., did not take a final exam, stopped attending, etc.) and failed to
achieve the course objectives.
Satisfactory Academic Progress (SAP) and Financial Aid
Federal regulations require you to meet certain minimum academic standards in order to remain
eligible for financial assistance. The requirements are that you: 1) maintain a minimum cumulative
Texas State GPA; 2) complete at least 70% of all your coursework; and 3) not exceed a maximum
limit of attempted hours toward your degree or certificate program.
Additional program-specific requirements also exist (e.g., TEXAS Grant). You can view these SAP
criteria in more detail at www.finaid.txstate.edu by selecting Undergraduate Aid or Graduate Aid
from the dropdown menu and then Maintain My Eligibility.
Americans with Disabilities Act (ADA) Policy Statement
The Americans with Disabilities Act (ADA) is a federal antidiscrimination 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 believe you have a disability
requiring an accommodation, please contact the Office of Disability Services, Suite 5-5.1 LBJ
Student Center, or call 512.245.3451.
Honor Code
Students are expected to be aware of and abide university policies regarding to academic
dishonesty: cheating and plagiarism. Sanctions will be applied as described in Section 02.04 of the
university honor code. (See http://www.txstate.edu/honorcodecouncil/ for the Honor Council
Rules and Procedures)
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Schedule: The following table is a tentative schedule for the semester and it is subject to changes
Week # Date Day Lecture #
Topic
Readings
25-Aug M
0
Course Overview
1
27-Aug W
1
Introduction to Statistics and Data Analysis
Ch.1
1-Sep M
Labor day (classes do not meet)
2
1
Introduction to Statistics and Data Analysis
Ch.1
3-Sep
W
1
Graphical Methods
8-Sep M
2
Probability
Ch.2
3
10-Sep W
2,3
Probability
Ch.2
15-Sep M
3
Probability
Ch.2
4
17-Sep W
4
Random Variables & Probability Distributions
Ch.3
22-Sep M
4
Random Variables & Probability Distributions
Ch.3
5
4
Random Variables & Probability Distributions
Ch.3
24-Sep W
Review
29-Sep M
Exam 1
6
1-Oct W
5
Joint Probability Distributions
Ch.3
5
Joint Probability Distributions
Ch.3
6-Oct
M
7
6
Mathematical Expectation
Ch.4
8-Oct W
6
Mathematical Expectation and Variance
Ch.4
13-Oct M
7
Discrete Probability Distributions
Ch.5
8
15-Oct W
8
Discrete Probability Distributions
Ch.5
20-Oct M
9
Continuous Probability Distributions
Ch.6
9
22-Oct W
9,10 Continuous Probability Distributions
Ch.6
10
Continuous Probability Distributions
Ch.6
27-Oct M
10
Review
29-Oct W
Exam 2
3-Nov M
10
Continuous Probability Distributions
Ch.6
11
Fundamental Sampling Distributions and Data Descriptions
5-Nov W
11
Central Limit Theorem
Ch.8
Fundamental Sampling Distributions and Data Descriptions
Ch.8
10-Nov M
11
12
t-distribution
12-Nov W
12
One and Two Sample Estimation Problems
Ch.9
17-Nov M
12,13 One and Two Sample Estimation Problems
Ch.9
13
19-Nov W
13
One and Two Sample Estimation Problems
Ch.10
24-Nov M
14
One and Two Sample Tests of Hypotheses
Ch.10
14
26-Nov W
Thanksgiving break (classes do not meet)
1-Dec M
Review
15
3-Dec W
Exam 3
16
10-Dec W
Final Exam (8:00AM-10:30AM)
PREPARED BY: Dr. Eduardo Pérez
DATE: 07-24-2014
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