6.7710
Discrete Stochastic Processes
Review of probability and laws of large numbers; Poisson counting process and renewal processes; Markov chains (including Markov decision theory), branching processes, birth-death processes, and semi-Markov processes; continuous-time Markov chains and reversibility; random walks, martingales, and large deviations; applications from queueing, communication, control, and operations research.
Prerequisites & course information
Prereq: 6.3702 or 18.204 G (Spring) Not offered regularly; consult department 4-0-8 units
Sources
- Course catalogue ↗2026–2027