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IE121 is an introductory course in Statistics primarily for engineering
students. The term Statistics
deals with the collection, analysis, and presentation of data. The ability
to use data correctly is important
to every engineer. In fact, this course is one of a subset that you will
have a 100% chance of using. In this
course, we will cover estimation, confidence intervals, hypothesis testing,
regression, analysis of variance,
and quality control. This year, IE121 will be conducted in close cooperation
with IE122 Software Tools.
You may be asked to implement or use existing software in IE122 to reinforce
the learning of concepts introduced
in IE121.
Course objectives:
Upon completion of this course students will:
- know the basic concepts and methods in statistics;
- know various estimation techniques and their respective strengths and
weaknesses;
- be able to formulate analytical models to perform both parametric and
non-parametric
hypothesis tests;
- be able to understand and analyze statistics in polling and yield management
applications;
- be able to perform regression analysis and think critically about regression
models;
- know the fundamentals of quality control models.
Instructor: Eugene Perevalov.
Meeting times: MW 10:10-11:00, F 8:10-9:00 and 10:10-11:00, Spring 2003.
Classroom: Mohler 451.
Text: Douglas C. Montgomery and George C. Runger, Applied Probability
and Statistics for Engineers,
second edition, John Wiley & Sons, 1999.
Prerequisite: IE111 or Math231.
Required for: Industrial and Manufacturing Systems Engineering majors,
Integrated Business and Engineering Honors Program IE majors.
Grading Policy:
Homework: 20%
Quiz 1: 15%
Quiz 2: 15%
Quiz 3: 15%
Final: 35%
There will be approximately ten problem sets, three quizzes and a cumulative
final exam. If you first make an effort to think things through for yourself,
the
course assistant and instructors will be glad to help you with homework
before it is due.
To help you understand what we expect of you, we shall also post examples
of quizzes and solutions from previous semesters online before each quiz.
With very few exceptions, course materials for IE121, such as
announcements, problem sets, solutions etc., will be posted online here.
Instructor
Eugene Perevalov
Office Hours: MW 2:00-3:30 and by appointment
Mohler Lab Rm 483
(610) 758-4031
http://www.lehigh.edu/~eup2
eup2@lehigh.edu
Course TA
Pinar Keles
Office Hours: W 11:30-1:30, Th 11:00-1:00 and by appointment
Mohler Lab Rm 353
(610) 758-6706
pik2@lehigh.edu
Note: This schedule serves as a rough guide for the pacing of materials
covered in the course, and will be subject to change as necessary.
Weeks 1 - 2: Probability Review (Chapters 3-6)
Weeks 3 - 4: Parameter Estimation (Chapter 7)
Weeks 5 - 8: Hypothesis Testing, Statistical Inference (Chapters 8, 9)
Weeks 9 - 11: Regression and Correlation (Chapters 10, 11)
Weeks 12 - 13: Non-parametric Statistics (Chapter 14)
Weeks 13 - 14: Statistical Quality Control (Chapter 15)
Week 15: Analysis of Variance (Chapter 12)
There will be 3 quizzes on the material already covered in class.
Slide set 1:
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Slide set 2:
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Slide set 3:
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Slide set 17:
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Homework
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Previous
quizzes
Last
year's quiz 1
Last
year's quiz 2
Last
year's final