Stochastic Processes Course
Master stochastic processes with Markov chains, Poisson processes, and CTMCs. Learn to build stable models, choose parameters, run simulations, and interpret risk, congestion, and reliability metrics for real-world mathematical applications.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Stochastic Processes Course gives you practical tools to build and analyze Markov chain and Poisson process models for queues, rating transitions, and environmental extremes. You will learn to design state spaces, calibrate parameters from data, compute stationary distributions, run simulations, check numerical stability, quantify uncertainty, and present clear, defensible results to decision-makers in a concise, efficient workflow.
Elevify advantages
Develop skills
- Model Markov chains: build DTMC and CTMC models for real service and rating systems.
- Compute stationary laws: solve πP=π and πQ=0 for congestion and long-run risk.
- Apply Poisson processes: estimate λ and predict extreme-event frequencies and waits.
- Run stochastic simulations: implement DTMC/CTMC and Poisson simulation for validation.
- Communicate model results: present risks, queues, and scenarios to nontechnical teams.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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