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ORIE 361
Handout 1
ORIE 361 Introductory Engineering Stochastic Processes
Spring 2008
Basic Course Information
Instructor Information
Instructor:
Mark E. Lewis
Associate Professor
Operations Research and Information Engineering
Office:
Rhodes 226
Phone:
2550757
Email:
mel47@cornell.edu
or mark.lewis@cornell.edu
Office Hours:
Tuesday 14001545
You are welcome to ask questions in the classroom and directly after
class.
Appointments may be arranged by email.
TA Information
TA 1:
Abhimanyu Mitra
Email:
am492@cornell.edu
Office Hours:
TBA
TA 2:
Ghosh Souvik
Email:
ghosh.souvik@gmail.com
Office Hours:
TBA
TA 3:
Yinan Huang
Email:
yh242@cornell.edu
Office Hours:
TBA
Grader 1:
Chao Ding
Email:
joshua.dcc@gmail.com
Grader 2:
Elisabet Gudrun Bjornsdottir
Email:
egb53@cornell.edu
Grader 3:
Jie Shi
Email:
js952@cornell.edu
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View Full DocumentORIE 361
Handout 1
Grader 4:
Adam Schneider
Email:
aps54@cornell.edu
Web Page
You can access course information via Blackboard: http://blackboard.cornell.edu/
Recitations
Recitations are required.
They will sometimes introduce new concepts and sometimes
reinforce previously covered topics.
You may have exercises to turn in and attendance
may be taken. There is also the possibility (in fact likelihood) that we will have some pop
quizzes.
Course Prerequisites
This course assumes knowledge of basic mathematics and differential and integral
calculus.
It also requires knowledge of basic probability including random variables,
conditional probability and conditional expectation.
ORIE 360 is sufficient preparation.
Course Background
A Markov process is a particular type of stochastic process where, given the current state,
the future is independent of the past (this is the Markov property).
If something is
“stochastic” then it involves chance or uncertainty.
In this course we will learn the
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 Spring '07
 LEWIS,M.

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