Udemy

Free Discrete Event Simulation Course: Queues, Python and Model Validation

How long might work wait in a queue, and what changes when another service resource is added? Dhanish Jose introduces systems modeling through events, arrivals, service times and the state of a system as it changes over time.

Free Discrete Event Simulation Course: Queues, Python and Model Validation — Dhanish Jose. WikiFree selection.
Free learning access

Listed as Free on Udemy when checked on 23 October 2026. No coupon or subscription trial is required for the listed lessons. Enrollment needs a Udemy account; availability can change.

About this course

How long might work wait in a queue, and what changes when another service resource is added? Dhanish Jose introduces systems modeling through events, arrivals, service times and the state of a system as it changes over time.

The listed 116-minute course follows a bank-teller queue as an operational example. The focus is customer arrivals and service capacity, with Python modeling and validation; it does not teach lending, interest calculations or financial trading.

Official course Mastering the basics of Systems Modelling
Created by Dhanish Jose
Platform Udemy
Language English
Level Beginner — Udemy listing
Listed duration 116 minutes; 17 lectures across 5 sections
Certificate Not included with a new free enrollment

Skills you’ll gain

  • Define entities, resources, state variables and boundaries for a simulation.
  • Relate Poisson counts and exponential waiting times to input modeling.
  • Translate a queueing scenario into a Python model and interpret waiting-time and utilization outputs.
  • Separate model verification from validation against the real-world question.

The five sections move from terminology to problem formulation, input modeling, conceptualization and testing. Public lecture descriptions explicitly discuss fitting distributions with Python, generating arrival and service times, calculating queue behavior and comparing scenarios with one or two tellers. The closing lessons inspect both code logic and whether the model is credible for its intended use.

Basic Python skills are explicitly required, including variables, loops, functions and simple libraries. That requirement is more useful for planning than the broader promotional wording suggesting no coding experience is needed. Familiarity with averages and probability will also help when interpreting random inputs.

The advertised learning outcomes mention several simulation tools, but the detailed lecture list supports a Python-centered route. Python is free to download and use; there is no need to assume a paid Arena, AnyLogic or Simul8 license is included. Treat simulation results as conditional on the inputs and assumptions, and allow extra practice time beyond the video duration.

Python: Free interpreter for the Python-based practice route.

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Choose your next step

Continue with a related course: Free Python Foundations Course. Review basic coding before building a queue simulation.

Continue with a related course: Free Statistics Foundations Course. Strengthen the statistical vocabulary used to describe inputs and outputs.

Frequently asked questions

Is this suitable without Python experience?

The requirements specify basic Python. Learn variables, loops and functions first if those are unfamiliar.

What does the bank example model?

Arrival, waiting and service behavior in a teller queue, rather than financial products or trading.

Are commercial simulation tools needed?

The detailed syllabus uses Python. No paid simulation license is stated as required for that route.

Checked on 23 October 2026 using the public course details and syllabus. WikiFree has not watched every lesson or tested full playback. New free enrollments do not include a Udemy completion certificate, instructor Q&A or direct messages.

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