Creating Project Contingencies
Welcome to my project contingency management course. This course will teach you to compare and contrast USM and Monte Carlo simulation methods for simulating schedule cost analysis and risk analysis to evaluate projects.
What you'll learn
Setting up a new project can be daunting. In this course, Creating Project Contingencies, you’ll learn how to compare and contrast USM and Monte Carlo simulation methods for simulating schedule cost analysis and risk analysis.
First, you’ll explore the unified scheduling method (USM) by applying it to a project schedule, budget, and risk register.
Next, you’ll discover the differences between the USM and a Monte Carlo analysis for risk analysis.
Finally, you’ll learn how to use USM and Monte Carlo simulations for scheduling and making cost analyses.
When you’re finished with this course, you’ll have the skills and knowledge of planning a project using different simulation methods needed to build project plans.
Table of contents
- Module Introduction 1m
- Risk & Risk Management Definition, 5-Key Steps of Risk Management 4m
- Risk Management Plan, Risk Identification, Probability/Impact Matrix 6m
- Risk Matrix Analysis, Risk Responses, Risk Implementation 4m
- Risk Contingency Overview, Contingency Reserves 7m
- Contingency Reserve Development Process, Management Reserve Comparison 7m
- AACE & PMI Risk Contingency Planning Guides and Comparison 7m
- Module Introduction 1m
- Unified Scheduling Method (USM), Binomial Distribution Overview and Demo 8m
- Risk Register Definition and Application of USM to a Risk Register 7m
- Application of USM to a Risk Schedule Part 1 6m
- Application of USM to a Risk Schedule Part 2 4m
- Application of USM to a Risk Budget Part 1 3m
- Application of USM to a Risk Budget Part 2 6m
- Module Introduction 1m
- Monte Carlo Simulation (MCS) Overview 5m
- Monte Carlo Simulation Example and Demo 4m
- Monte Carlo Simulation Application for Risk Contingency and Scheduling 6m
- Monte Carlo Simulation Application for Risk Budget 4m
- Comparison Between USM and Monte Carlo Simulation for Risk Schedule and Cost Analysis 6m
About the author
Sarper is a computer scientist, an ex software developer, and an experienced product manager on different products on different platforms including Web, Android, IOS, and some of the Blockchains; who worked at corporations and startups over a decade, where his products reached to thousands of people with annual sales of 8 figure digits. He is a creative person in finding practical & advanced solutions with delivering a great user experience by acting as a strong communicator between technical &... more