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CS 5291 Stochastic Processes for Networking Instructor: Shun-Ren Yang Office: EECS 3202 Email: sryang@cs.nthu.edu.tw Office Hour: Tuesday morning 10:00-12:00 sryang@cs.nthu.edu.tw
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Shun-Ren Yang, Stochastic Processes for Networking2 People Instructor: Shun-Ren Yang Office: EECS 3202 Tel: ext. 31212 Email: sryang@cs.nthu.edu.tw Office hours: Tuesday morning 10:00-12:00 Appointment via Email TA: 王昱傑 Email: s100064525@m100.nthu.edu.tw Office: 台達館 705 Phone: ext. 80920 Office hours: to be determined
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Shun-Ren Yang, Stochastic Processes for Networking3 Course Outline Preliminaries Random Variables and Stochastic Processes, Probability and Expectations, Probability Inequalities; Poisson Processes Introduction, Properties, Non-homogeneous Poisson Processes, Compound Poisson Processes, Poisson Arrival See Time Average (PASTA); Renewal Processes Introduction, Limit Theorems, Key Renewal Theorems, Renewal Reward Processes, Delayed Renewal Processes, Regenerative Processes;
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Shun-Ren Yang, Stochastic Processes for Networking4 Course Outline Discrete-Time Markov Chains Introduction, Classification of States, Markov Reward Processes, Time- Reversible Markov Chains, Semi-Markov Chains Continuous-Time Markov Chains Introduction, Birth and Death Processes, Kolmogorov Differential Equations, Limiting Probabilities, Time Reversibility, Phase-Type Distributions, Uniformization
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Shun-Ren Yang, Stochastic Processes for Networking5 Prerequisite Introduction to Probability Queueing Theory (would be better)
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Shun-Ren Yang, Stochastic Processes for Networking6 Text Books Ross, S.M., “Stochastic Processes”, John Wiley & Sons, Inc., 1996. Ross, S.M., “Introduction to Probability Models”, Academic Press.
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Shun-Ren Yang, Stochastic Processes for Networking7 Reference Books Kao, Edward P.C., “An Introduction to Stochastic Processes”, Wadsworth Publishing Company, 1997. Gallager, Robert G., “Discrete stochastic processes”, Kluwer Academic Publishers, 1996.
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Shun-Ren Yang, Stochastic Processes for Networking8 Grading Homework: 20% Midterm Exam 1: 25% Midterm Exam 2: 25% Final Exam: 20% Report: 10%
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