Introduction Why We Need Simulation Modeling

Mini-Lab Solution Pick Distributions and Validate

Master template walkthrough, part 1

Master template walkthrough, part 2

Reading a worked example (MC loan portfolio)

Generating code from a spec — live demo

Validating AI-generated code (three layers)

Lab Solution - Running Generated Simulation

Why specs beat code

The universal model anatomy

What is a distribution

Continuous distributions — Uniform, Normal, Lognormal

Outcome distributions — Bernoulli, Beta

Event-time distributions — Exponential, Poisson

Expert-estimate distributions — Triangular

Mini-lab - Pick Distributions and Validate

What Monte Carlo is, and what it isn't

Lab - Monte Carlo Base Model

Lab Results - Monte Carlo Base Model

Interlude — How many replications are enough

Lab - Correlated Defaults

Lab - Policy Levers

Lab - Stress Scenarios

Lab - Communicating Results

Monte Carlo Takeaways

What Discrete Event is, and what it isn't

a Introduction to Baseline M M c Queue Model

b Lab 1 Base Clinic Model

Interlude — Warm-up periods and steady state

a Introduction to Realistic Arrival and Service Times

b Lab 2 Realistic Arrival and Service Times

c Lab 2 Sidebar Fitting a Distribution and Calculating Sigma

a Introduction to Resource Policy Levers

b Lab 3 Resource Policy Levers

a Introduction to Stress Scenarios

a Introduction Communicating Results

b Lab Communicating Results

Discrete Event Simulation Takeaways

What System Dynamics is, and what it isn't

Stocks, Flows, Feedback and Delays The Bullwhip Effect

a Introduction to Production Capacity Demo

b Production Capacity Demo

Mini-Lab Turn the Dials

b Mini-Lab Turn the Dials Solution

When to Use System Dynamics

System Dynamics Takeaways

What Agent-Based Modeling is, and what it isn't

Demo Retail product diffusion with inventory limits

Mini-Lab Diffusion Model

b Mini-Lab Diffusion Model Solution

Mini-Lab Heterogeneous Diffusion Model

When Agent-Based Modeling is the right tool

Agent Based Model Takeaways

Choosing the paradigm — capstone setup

The three capstone domains

How the capstone will be graded — rubric walkthrough

Course wrap — what we learned

Taking it home — local Python setup