Lecture: Room 339 ; MF
: 2:30 pm to 3:20 pm ; TR 2:30 pm to 3:45 pm ; Instructor: Al Lehnen ; Office: Room 335E ; Office
: 246‑6567 ; Home : 238‑7333 E‑mail: alehnen@matcmadison.edu
Office Hours:
|
Monday |
9:30 AM to 10:20 AM |
|
Tuesday |
12:30 PM to 1:20 PM |
|
Wednesday |
9:30 AM to 10:20 AM |
|
Thursday |
1:30 PM to 2:20 PM |
|
Friday |
9:30 AM to 10:20 AM |
Or by Appointment
Text: R.A. Johnson, Miller & Freund’s
Probability and Statistics for Engineers, seventh ed., Pearson Prentice
Hall, 2005. ISBN 0-13-143745-3
Course Handouts: Selected notes are available at the following website:
http://faculty.matcmadison.edu/alehnen/EngineeringStats/Outline_of_Instruction_Introduction_To_Engineering_Statistics.doc
Course Objectives:
(1) To become acquainted
with the basic techniques and concepts of data analysis and to apply these
principles to decision making problems.
(2) The preparation
needed for further study where statistical methods and terminology are
used.
(3) To apply statistical
reasoning and procedures in the analysis of real data.
(4) To understand
and quantify the impact measurement variability has in drawing conclusions
from sample data.
(5) To think critically
about the reliability of data, the methods used to analyze data, and the
conclusions made regarding data.
(6) To use definite
integration, power series, multiple integrals and additional techniques
from calculus in setting up and solving problems in probability and statistics.
(7) To write clearly,
concisely, and accurately in a variety of contexts and formats.
Core Abilities: To accomplish its mission, MATC has identified eight Core Abilities all students need to develop. The Core Abilities identified as having a major emphasis in Introductory Statistics for Engineers are Communications, Critical Thinking, Mathematics, and Science and Technology.
Attendance: This
is the responsibility of each individual student. Projects handed in late
will be penalized 8 points for every class period they are late.
Grading: Four separate sources will contribute
to the grade in this course:
(1) An
Introduction to Excel lab worth 16 points.
(2) The
scores on eight projects each worth 48 points.
(3) Four
unit exams each worth 120 points.
(4) A
comprehensive final exam worth 120 points.
Thus, the final grade will be based
on a maximum of 1000 points. The following final point totals are guaranteed
as minimum grade requirements:
|
940 points - A |
900 points - AB |
840 points -
B |
|
800 points -
BC |
700 points - C |
650 points -
D |
These minimum values may be lowered
if results warrant. In borderline situations class participation, attendance,
the trend of exam scores, etc., may be used to justify the higher grade.
The Excel file http://faculty.matcmadison.edu/alehnen/EngineeringStats/Scorecard.xls can be used to record your scores
and compute your current average.
Assignments:
Passing a course in engineering statistics is not an impossible task.
However, it does assume knowledge of topics from calculus, especially
integration up through multiple integrals. This course will involve a great
deal of work on your part and it would be nearly impossible for you to learn
and master its content without the persistent working of problems. In this
regard, there will be eight course projects each worth 48 points. These
should be completed as directed and handed on time. Projects handed in late
may lose up to 8 points for each class period they are late. Copies of the course projects are
available at http://faculty.matcmadison.edu/alehnen/EngineeringStats/projectss09.pdf
.
There are also three extra credit projects ( http://faculty.matcmadison.edu/alehnen/EngineeringStats/Bonusprojectss09.pdf
) each worth 15 points.
Bonus Project 1 is due at Exam 2
(March 12) and Bonus Project 2 and 3 will be due at the final.
Some of the projects involve using
Excel. A tutorial lab designed to familiarize you with Excel can
be accessed at http://faculty.matcmadison.edu/alehnen/EngineeringStats/ExcelTutorial.doc.
This lab is worth 16 points and
is due on Tuesday January 20.
Calculator/Exam Policies: Handheld calculators should be used on all exams.
In addition, all exams will be open book/open note.
Course Content:
|
Unit of Study |
Exam |
|
I. Methods of Descriptive Statistics and Discrete Probability: Chapters 1 - 4 |
2/13/09 |
|
II. Continuous Probability and Sampling Distributions: Chapters 5 - 6 |
3/12/09 |
|
III. Introduction to Statistical Inference: Chapters 7 - 9 |
4/09/09 |
| IV. Analysis
of Variance and Regression Analysis: Sections 12.1, 12.2, 12.4, 11.1-11.3,
11.5, 11.6 |
5/08/09 |
The date and time of the final exam will be announced in class.
Project Due Dates:
|
Project 1 1/26/09 |
Project 2 2/03/09 |
Project 3 2/12/09 |
Project 4 2/27/09 |
Project 5 3/11/09 |
Project 6 4/08/09 |
Project 7 4/24/09 |
Project 8 5/07/09 |
It is my sincere desire that you will succeed in
this course. I hope you will have questions, comments and suggestions!
If you find yourself getting lost and/or behind please come see
me for help before it is too late.