Course Staff

• Instructor: Mahdi Dolati
• Chief Teaching Assistants: Mohammad Saberi and Iman Ghadimi Deylami

Lectures

• Lecture 00: Introduction and Terminology,
• Lecture 01: Probability Review (Distributions),
• Lecture 02: Probability Review (Conditional),
• Lecture 03: Probability Review (Normal),
• Lecture 04: Random Number Generation,
• Lecture 05: Convergence,
• Lecture 06: Little's Law,
• Lecture 07: Modification Analysis,
• Lecture 08: DTMC,
• Lecture 09: Ergodic DTMC,
• Lecture 10: Ergodicity Simpler Equations,
• Lecture 11: DTMC Applications,
• Lecture 12: Exponential,
• Lecture 12: CTMC,
• Lecture 12: M/M/1 Queues and PASTA,
• Lecture 13: M/M/k Queues,
• Lecture 14: Square Root Staffing Rule,
• Lecture 15: Burke's Theorem,
• Lecture 16: Jackson Networks,
• Lecture 17: Heavy Tails,
• Lecture 18: Phase Type Distributions,
• Lecture 19: Processor Sharing Queues,
• Lecture 20: M/G/1 Queues,

References

• M. Harchol-Balter, Performance Modeling and Design of Computer Systems: Queueing Theory in Action. Cambridge, England: Cambridge University Press, 2013.

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