This course introduces elementary probabilistic models used in operations research for decision-making under uncertainty. Topics include reliability of simple systems, probabilistic decision models, applications of Markov chains, Poisson processes, and queuing systems. Emphasis is placed on modeling and analyzing real-world problems in engineering, manufacturing, logistics, and service systems.