2011 Fall EAS 305: Applied Probability & Statistics Inference
Time: 11:00-11:50 AM Monday, Wednesday, Friday
Place: 107 Talbert Hall, North Campus
Web: Please use UBlearns to assess all course information
I NSTRUCTOR
Dr. Jun Zhuang, 403 Bell Hall
E-mail: [e-mail] (Please put EAS 305 on the subject of all your emails).
The fastest and best way to reach me is by E-mail.
Phone: [phone] (Ofce)
Ofce hours: 10:30-11:30AM Tuesday, 2:00-3:00PM Tuesday
T EACHING A SSISTANTS
Ms. Peiqiu Guan, 435 Bell Hall
E-mail: [e-mail] (Please put EAS 305 on the subject of all your emails)
Phone: [phone] (Ofce)
Ofce hours: 2:25 PM-3:25 PM Monday, 11:00 AM-12:00 PM Tuesday
Mr. Xiaojun (Gene) Shan, 435 Bell Hall
E-mail: [e-mail] (Please put EAS 305 on the subject of all your emails)
Phone: [phone] (Ofce)
Ofce hours: 4:00 PM-5:00 PM Tuesday, 3:00 PM-4:00 PM Thursday
Ms. Cen Song, 435 Bell Hall
E-mail: [e-mail] (Please put EAS 305 on the subject of all your emails)
Phone: [phone] (Ofce)
Ofce hours: 2:30 PM-3:30 PM Tuesday, 11:00 AM-12:00 PM Thursday
T EXTBOOKS
Required: Probability and Statistics in Engineering, By William W. Hines, Douglas C. Montgomery,
David M. Goldsman, and Connie M. Borror, The fourth edition, 2003, John Wiley and Sons.
Recommended: Introduction to Probability, By Dimitri P. Bertsekas and John N. Tsitsiklis, 2002,
Athena Scientic.
Recommended: Introduction to Probabilities and Statistics for Engineers and Scientists, By Sheldom M. Ross, Third Edition, 2004, Academic Press.
Fall 2011 EAS 305: Applied Probability & Statistics Inference
Page 2 of 4
T IME AND P LACES
Lectures are at 11:00-11:50 AM, MWF, in 107 Talbert Hall, North Campus. We have three recitation
sessions, which are also an integral part of the course. You should feel free to attend any of these sessions.
You are also welcome to attend more than one recitation sessions. Recitation meetings are:
Day
Monday
Wednesday
Friday
Friday
Time
12:00 PM - 12:50 PM
12:00 PM - 12:50 PM
12:00 PM - 12:50 PM
2:00 PM - 2:50 PM
Place
Bell 337
Clemen 19
Alumni 90
Bell 337
Recitation No.
4
2
1
3
TA
Xiaojun (Gene) Shan
Peiqiu Guan
CANCELED
Cen Song
C ATALOG D ESCRIPTION
This course introduces probability and its application to engineering problems, examines sample space,
random variables, expected values, limiting theorems, error analysis, and provides introduction to random
processes. Students may not receive credit for this course and CIE 308.
Prerequisites: Prerequisite for enrollment is MTH 241 College Calculus III or equivalent.
C OURSE G RADING
To qualify for a particular letter grade, the minimum course average shown after that grade will be needed:
A (90); A- (86); B+ (82); B (78); B- (74); C+ (70); C (66); C- (62); D+ (58); D (54); and F (less than 54).
I reserve the right to lower these cutoffs (i.e., give higher grades than indicated) under some circumstances
(e.g., if one of the exams turns out much too difcult). Therefore, class average will not be lower than a B-.
However, I will not raise the cutoffs.
Item
Homework
Quizzes
First mid-term exam
Second mid-term exam
Third mid-term exam
Percentage
30%
10%
20%
20%
20%
H OMEWORK
Homework will be assigned in most weeks. It will generally be handed out on a Wednesday, due the
following Wednesday, and returned to you by the Wednesday after that. Homework must be turned in by
the end of the class period in which it is due. Provide your full name and student ID number for each of the
homework that you submit. Late homework will not be accepted, except in extenuating circumstances (e.g.,
family emergency, illness, etc.), with ofcial documents and instructor/TAs permission.
You are encouraged to join with other students in discussing the course, including homework. This is
especially useful if you have rst tried to solve the problem on your own, and focus on understanding the
reasons for any differences between your answer and someone elses approach, rather than just copying the
answer that someone else got. Note, however, that when you write up the work that you hand in, you should
A
do so on your own. You are strongly recommended to turn in a computer-generated (e.g., LTEX, MS Word)
homework if possible.
Fall 2011 EAS 305: Applied Probability & Statistics Inference
Page 3 of 4
Q UIZZES
Open-book, open-note, open-discussion, easy-question quizzes will be given at the beginning of many lectures and then be collected in the end those of lectures. Provide your full name and student ID number for
each of the quizzes that you submit. There will be NO make-up quizzes. However, when computing the
nal grade, about 10% of the lowest quiz grades will be dropped. For example, suppose students were given
twenty quizzes during the whole semester, the lowest two quiz grades do not count.
E XAMS
There will be three mid-term exams and no nal one. Exams will not be accumulative and will be held
during class-time. Those exams will be closed book and closed notes. However, you are allowed to bring one
double-sided A4 cheat-sheet (formula sheet) for each of the exams. Makeup exams will be administered
only under extenuating circumstances with ofcial documents, provided that I am notied in advance.
ATTENDANCE
Although positively correlated with your quiz, homework and exam grades, attendance at the lectures and
recitations will not be directly included in your grade. However, attendance is fundamental to the course, so
if you dont come to class, you are giving yourself a disadvantage. Absenteeism can also be a sign of illness
or other serious problems; dont hesitate to email or call to discuss the reasons for any absences. If you need
help, please let me know, and I will try to connect you with the appropriate campus resources.
O FFICE HOURS
To be fair to all of the students and to the colleagues that we work with, please cooperate with us in respecting
the ofce hours of the TAs and the professor. However, individual appointments can be made, if the posted
ofce hours are insufcient or inconvenient. You may email the instructor or TAs at any time to discuss your
questions by email, or to set up an appointment. We will respond as soon as possible, but you should be
aware that we do not always check emails on the evenings and weekends, or when we are traveling. If you
need to reach us on an urgent basis (e.g., before an exam), you can also try leaving a message on our voice
mails with information on when and how we can reach you by phone.
U NIVERSITY P OLICY ON ACADEMIC I NTEGRITY
All work must be your own. Plagiarism is never allowed. If any student is found in violation of maintaining
academic integrity, sanctions will be imposed. This can be as severe as receiving an F in the course.
Especially agrant violations will be considered under formal review proceedings, which can call for harsher
sanctions including expulsion from the University.
All students are expected to be familiar with and abide by the Universitys academic integrity policies,
available in the Undergraduate Catalog: http://academicintegrity.buffalo.edu or the Graduate School Policies
and Procedures Manual: http://www.grad.buffalo.edu/policies/academicintegrity.php. Plagiarism detection
software may be used by individual instructors or the institution to aid in determining the originality of
student work. If you ever have any questions or concerns regarding the policy, particularly as it related to
this course, see the instructor.
Fall 2011 EAS 305: Applied Probability & Statistics Inference
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C OURSE O UTLINE **This outline is subject to change**
Week
No. 1
No. 2
No. 3
No. 4
No. 5
No. 6
No. 7
No. 8
No. 9
No. 10
No. 11
No. 12
No. 13
No. 14
No. 15
Date
08/29
08/31
09/02
09/05
09/07
09/09
09/12
09/14
09/16
09/19
09/21
09/23
09/26
09/28
09/30
10/03
10/05
10/07
10/10
10/12
10/14
10/17
10/19
10/21
10/24
10/26
10/28
10/31
11/02
11/04
11/07
11/09
11/11
11/14
11/16
11/18
11/21
11/23
11/25
11/28
11/30
12/02
12/05
12/07
12/09
Course Material
Introduction to the class and the syllabus
Chapter 1.11.4
Chapter 1.51.6
No Class
Chapter 1.71.9
Chapter 2.12.2
Chapter 2.32.4
Chapter 2.52.7
Chapter 3.13.3
Chapter 3.43.5
Chapter 3.63.8
Chapter 4.14.2
Chapter 4.34.4
Chapter 4.54.6
Chapter 4.74.9
Chapter 4.104.11
Chapter 4.124.15
Chapter 5.15.3
Review for Mid-term Exam 1
Mid-term Exam 1
Chapter 5.65.7
Chapter 5.85.11
Chapter 6.16.3
Chapter 6.46.7
Chapter 7.17.4
Chapter 7.57.9
Chapter 8.18.3
Chapter 8.48.5
Chapter 9.19.2
Chapter 9.39.6
Chapter 10.1
Chapter 10.2
Chapter 10.3
Review for Mid-term Exam 2
Mid-term Exam 2
Chapter 10.4-10.9
Chapter 11.1
No Class
No Class
Chapter 11.2
Chapter 11.3
Chapter 11.411.7
Review for Mid-term Exam 3
Mid-term Exam 3
Conclusion
Note
First day of class
Labor Day
Review for Mid-term Exam 1
Mid-term Exam 1
Review for Mid-term Exam 2
Mid-term Exam 2
Thanksgiving
Thanksgiving
Review for Mid-term Exam 3
Mid-term Exam 3
Last day of class