Engineering 0020

advertisement
Engineering 0020
Probability and Statistics for Engineers I
Course Syllabus
Spring, 2002 (02-2)
Lecture:
Tuesdays and Thursdays; 9:30 - 10:45 AM; BEH 720
Recitations:
Thursdays;
Fridays;
Instructor:
Dr. Bryan A. Norman
1033 BEH
624-9841
Office Hours: Tuesdays 2:30 – 4:30 PM
banorman@engrng.pitt.edu
Teaching Assistants: Aytun Ozturk
Hakan Yildiz
1:00 pm – 2:50 pm; BEH 523 (Hakan) or
9:00 am – 10:50 am; BEH 523 (Aytun)
1072 BEH uoast2+@pitt.edu
1070 BEH hay9+@pitt.edu
OH
OH
Course Web Page:
http://www.pitt.edu/~banwork/0020/engr0020.html
Text:
Devore, Jay L., Probability and Statistics for Engineering and the
Sciences, Fifth Edition, 2000.
Course Description: This course is designed for students majoring in engineering. Topics
include: data analysis, probability, random variables, discrete and continuous probability
distributions, estimation, hypothesis testing, correlation, linear regression, and statistical process
control.
Course Objectives:
1. To acquaint the students with the fundamental concepts of probability and statistics.
2. To develop an understanding of the role of statistics in engineering.
3. To provide an understanding of the processes by which real-life statistical problems
are analyzed.
4. To familiarize students with computer-based statistical analysis through the SPSS
software package.
1
Homework:
Homework problems will be assigned each week and are due in lecture the following week.
Points will be deducted for homework turned in late and homework not turned in will receive a
score of "zero". All work (computer and manual) should be shown for each problem so that
partial credit may be given. Homework may be done in groups of up to three people. If you
choose to work in a group please submit one homework solution paper(s) with the names of all
group members on that one solution.
Quizzes:
Quizzes will be given each week during the recitation. If you miss a quiz, you will be given a
score of 0. The lowest quiz grade will be dropped.
Exams:
Three exams are scheduled throughout the course. If you must miss an exam, please make
alternative arrangements with the instructor before the exam is given. Make-up exams will only
be given for absences due to unavoidable situations
Cheating of any form on quizzes or exams will result in a grade of 0 for that quiz or exam!
Grading:
Exam I
Exam II
Exam III
Homework and Case Studies
Quizzes
25%
25%
25%
15%
10%
Students should prepare for each lecture by reading the appropriate chapter as noted in the topical
outline.
2
Topical Outline
Date
Lecture Topic
Chapter
Tue. 1/8
Thur. 1/10
Introduction and Descriptive Statistics
Descriptive Statistics
1
1
SPSS Introduction, Discuss
Homework
Tue. 1/15
Thur. 1/17
Probability
Probability
2
2
Discuss Homework and Quiz
Tue. 1/22
Thur. 1/24
Probability
Probability
2
2
Discuss Homework and Quiz
Tue. 1/29
Thur. 1/31
Discrete Random Variables
Discrete Random Variables
3
3
Review, Discuss Homework, Quiz
Tue. 2/5
Thur. 2/7
Discrete Random Variables
EXAM I
3
1-3
Discuss Homework
Tue. 2/12
Thur. 2/14
Continuous Random Variables
Continuous Random Variables
4
4
Discuss Homework and Quiz
Tue. 2/19
Thur. 2/21
Continuous Random Variables
Sampling Distributions
4
5
Discuss Homework and Quiz
Tue. 2/26
Thur. 2/28
Sampling Distributions
Interval Estimation
5
7
Discuss Homework and Quiz
Tue. 3/5
Thur. 3/7
No classes due to Winter Break
No classes due to Winter Break
Tue. 3/12
Thur. 3/14
Interval Estimation
Interval Estimation
7
7
Review, Discuss Homework, Quiz
Tue. 3/19
Thur. 3/21
Hypothesis Testing
EXAM II
8
4-7
Discuss Homework
Tue. 3/26
Thur. 3/28
Hypothesis Testing
Hypothesis Testing
8
8
Discuss Homework and Quiz
Tue. 4/2
Thur. 4/4
Two Sample Hypothesis Testing
Two Sample Hypothesis Testing
9
9
Discuss Homework and Quiz
Tue. 4/9
Thur. 4/11
Linear Regression
Linear Regression
12
12
Discuss Homework and Quiz
Tue. 4/16
Thur. 4/18
Linear Regression
Quality Control
12
16
Review, Discuss Homework, Quiz
Final Exam: EXAM III (Chapters 8,9,12,16) is scheduled for:
Thursday, April 25, from 4:00 pm to 5:50 pm.
3
Recitation
Download