Download IE 211-001 ENGINEERING PROBABILITY AND STATISTICS COURSE SYLLABUS: SPRING 2014 MW 2:00pm

IE 211-001 ENGINEERING PROBABILITY AND STATISTICS
COURSE SYLLABUS: SPRING 2014
MW 2:00pm – 3:15pm, AGIT211
Instructor:
Office Location:
Office Hours:
Office Phone:
Office Fax:
Email Address:
Pelin Altintas-deLeon, Ph.D.
Assistant Professor / Department of Engineering & Technology
Charles J. Austin Engineering & Technology Building
Room 215 (AGIT)
TR 9:00am-11:30am
(903) 468-8117
(903) 886-5960
[email protected]
COURSE INFORMATION
Textbook Required: Douglas C. Montgomery and George C. Runger (2011). Applied Statisrics and
Probability for Engineers (5th edition). John Wiley & Sons, Inc.
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, tests of hypotheses for a single sample. Co-requisite: Math 192. (2013-2014
Undergraduate Catalog, Texas A&M University-Commerce,
(http://catalog.tamuc.edu/undergrad/colleges-and-departments/science-engineeringagriculture/engineering-technology/#courseinventory).
Student Learning Outcomes:
After successfully completing the course, students should be able to do the following:
1. Use statistical methodology and tools in the engineering problem-solving process.
2. Compute and interpret descriptive statistics using numerical and graphical techniques.
3. Understand the basic concepts of probability, random variables, probability distribution, and joint
probability distribution.
4. Compute point estimation of parameters, explain sampling distributions, and understand the central
limit theorem.
5. Construct confidence intervals on parameters for a single sample.
COURSE REQUIREMENTS
Instructional / Methods / Activities Assessments
This course utilizes facilitated lectures, and a series of assignments to assist students in achieving the
course learning outcomes. The assessment criteria for the stated student learning outcomes will
include quizzes, homework assignments, three major exams, and a final exam.
1
Grading
Quizzes
Homework
Exam 1
Exam 2
Exam 3
Final Exam
10%
10%
20%
20%
20%
20%
Final Grade:
90 – 100
80 – 89
70 – 79
60 – 69
Below 60
A
B
C
D
F
TECHNOLOGY REQUIREMENTS
The following technologies will be required for this class.
- A scientific calculator for exams.
- Microsoft Excel.
- Minitab (statistical software available in the computer lab)
COURSE AND UNIVERSITY PROCEDURES/POLICIES
Course Specific Procedures:
1. All quizzes and exams are open book and closed notes. Use of unauthorized aids on quizzes
and exams will result in a grade of zero.
2. Late homework is not accepted. Homework should be turned in at the beginning of the class on
due date.
3. I reserve the right to make changes to this syllabus as needed under unexpected
circumstances. The changes will be announced in class.
4. Students are expected to attend all class periods. Students missing more than six class
meetings will be assigned a final grade of ‘F’ for the course.
5. No cellphones in the classroom.
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
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).
2
COURSE OUTLINE / CALENDAR
WEEK
DATES
Week1
1/13
1/15
Week2
Week3
1/22
1/27
1/29
2/3
2/5
2/10
2/12
2/17
2/19
2/24
2/26
3/3
3/5
Week4
Week5
Week6
Week7
Week8
Week9
Week10
Week11
Week12
Week13
Week14
Week15
Week16
3/17
3/19
3/24
3/26
3/31
4/2
4/7
4/9
4/14
4/16
4/21
4/23
4/28
4/30
TOPIC
READING
ASSIGNMENT
First class day of Spring 2014 1/13
Introduction
Chp. 1
The role of statistics in Engineering
Chp. 1
Martin Luther King, Jr. Day 1/20
Probability
Chp. 2
Probability
Chp. 2
Probability
Chp. 2
Probability
Chp. 2
EXAM 1
Discrete random variables and prob. dist.
Chp. 3
Discrete random variables and prob. dist.
Chp. 3
Discrete random variables and prob. dist.
Chp. 3
Discrete random variables and prob. dist.
Chp. 3
Discrete random variables and prob. dist.
Chp. 3
EXAM 2
Continuous random variables and prob. dist. Chp. 4
Continuous random variables and prob. dist. Chp. 4
NO CLASS- Spring Break 3/10 - 3/14
Continuous random variables and prob. dist. Chp. 4
Continuous random variables and prob. dist. Chp. 4
Continuous random variables and prob. dist. Chp. 4
Joint probability distributions
Chp. 5
Joint probability distributions
Chp. 5
EXAM 3
Descriptive statistics
Chp. 6
Descriptive statistics
Chp. 6
Sampling distributions and point estimation
Chp. 7
Sampling distributions and point estimation
Chp. 7
Statistical intervals/single sample
Chp. 8
Statistical intervals/single sample
Chp. 8
Statistical intervals/single sample
Chp. 8
Statistical intervals/single sample
Chp. 8
Last class day of Spring 2014 5/2
FINAL EXAM
HOMEWORK
Quiz1
Homework1
Quiz2
Homework2
Quiz3
Homework3
Quiz4
Homework4
Homework5
3