Simulation of Covid-19 Testing Process Using R Simmer

提供方
Coursera Project Network
在此指导项目中,您将:

Underatand Discrete Event Simulation

Model & Run Simulations Using R Simmer Library

Capture Output Data, Visualise & Interpret Results.

Clock2 hours
Beginner初级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

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.

您要培养的技能

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

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  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

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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