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syllabus_ORIE361 - ORIE 361 Handout 1 ORIE 361 Introductory...

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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: 255-0757 E-mail: [email protected] or [email protected] Office Hours: Tuesday 1400-1545 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 E-mail: [email protected] Office Hours: TBA TA 2: Ghosh Souvik E-mail: [email protected] Office Hours: TBA TA 3: Yinan Huang E-mail: [email protected] Office Hours: TBA Grader 1: Chao Ding E-mail: [email protected] Grader 2: Elisabet Gudrun Bjornsdottir E-mail: [email protected] Grader 3: Jie Shi E-mail: [email protected]
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ORIE 361 Handout 1 Grader 4: Adam Schneider E-mail: [email protected] 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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