Spring 2017: MTH 202
Instructor:

Lecture: TTh 11:00am  12:15pm in Hylan 201.
Email: kyamazak@ur.rochester.edu
Office: Hylan 1017
Office Hrs: MWF 9:15  10:00am and by appointment.
Grader:

Email: jzhou40@u.rochester.edu
Office: Carlson Library, Ground Floor.
Office Hrs: Friday 10:15am  11:15am.
Textbook
Lecture notes in PDF format will be provided by the instructor on a weekly basis. The main textbook to follow, at least initially, is
Sheldon M. Ross, ``Introduction to Probability Models,’’ Elsevier, U.S., U.K., 2010.
Supplementary textbooks of relevance are
Gregory F. Lawler, ``Introduction to Stochastic Processes,’’ Taylor & Francis Group, U.S.A., 2006.
Bernt Oksendal, ``Stochastic Differential Equations, An Introduction with Applications,’’ SpringerVerlag, Berlin, Heidelberg, New York, 2003.
Prerequisites
Math 201 and Math 165
Course description
Overview
This course deals with stochastic processes. Discussion will not be completely rigorous, but explanations will be intended to be complete.
Possible topics to be covered include reviews (probability theory, random variables, conditional probability and conditional expectation), Markov chains, exponential distribution and the Poisson processes, continuoustime Markov chains, renewal theory and its applications, Brownian motion and Ito’s calculus.
Grades
5 percent for quizzes, 25 percent for homework, 30 percent for midterm Exam, 40 percent for final Exam.
When the quizzes will be given in class, the instructor will Email students at least a day in advance, and the lowest quiz score will be dropped.
Any student with 90 percent or higher will get at least A, any student with 80 percent or higher will get at least B, any student with 70 percent or higher will get at least C. Besides, the instructor’s discretion will be utilized if necessary.