Simulation of Covid-19 Testing Process Using R Simmer

Offered By
Coursera Project Network
In this Guided Project, you will:

Underatand Discrete Event Simulation

Model & Run Simulations Using R Simmer Library

Capture Output Data, Visualise & Interpret Results.

Clock2 hours
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

Welcome to "Simulation of Covid-19 Testing Process Using R Simmer". This is a project-based course which should take under 2 hours to finish. Before diving into the project, please take a look at the course objectives and structure. By the end of this project, you will learn gain introductiory knowledge of Discrete Event Simulation, use R Studio and Simmer library, create statistical variables required for simulation, define process trajectory, define and assign resources, define arrivals (eg. incoming customers / work units), run simulation in R, store results in data frames, plot charts and interpret the results.

Skills you will develop

  • Discrete Event Simulation
  • Process Analysis
  • Simulation
  • R Programming
  • Data Analysis

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Introduction To Discrete Event Simulation, RStudio, Simmer Library

  2. Create Statistical Variables Required For Simulation

  3. Define Process Trajectory, Resources, Arrivals

  4. Run Simulation, Store & Display Results

  5. Plot Charts & Interpret Simulation Results

  6. Model Parallel Paths Using Clone-Synchronize Functions

  7. Capturing Process Step Data & Advanced Visualisations

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.