Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
2 Hour(s) 6 Minute(s)
Language
English
Taught by
Fernando Hernandez
Rating
Course Overview
Using @RISK to quantify project contingency considering price and quantity variations and risk events.
We present here an integrated business case for calculating a simplified project cost estimation. An integrated case for calculating a simplified project cost and its probabilistic contingency reserve estimation. Quantification of price and quantity risk as well as event risks. The objective of presenting this example is to demonstrate a number of basic and intermediate tools from @RISK that are relevant to current practices used in the world of project management. The goal is to show how @RISK tools can be used to represent quantitative – not qualitative – risk analysis.
Course Content
- 5 section(s)
- 24 lecture(s)
- Section 1 Introduction and Defining the Problem
- Section 2 Traditional Approaches to Contingency Estimation
- Section 3 Structuring The @RISK Model
- Section 4 Interpreting Results
- Section 5 Advanced Settings
What You’ll Learn
- How to calculate probabilistic contingency using Monte Carlo simulation, considering all kinds of risks on any type of project. The objective is to demonstrate a number of basic and intermediate tools from @RISK that are relevant to current practices used in the world of project management. The goal is to show how @RISK tools can be used to represent quantitative – not qualitative – risk analysis.
Skills covered in this course
Reviews
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SSyed Mubasher Salim
Excellent Step by Step learning Course for @Risk different functions
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JJeannette Riphagen
I really like the course, it was very informative. The introduction music was too loud scaring me all the time a new section started. Also mentioning the item numbers while presenting is a bit annoying. But in general nice and clear explanations. Very help full indeed.
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EEliza Maharana
No it wasn't a good match as i was looking for something complex analysis with lot of project execution risks.
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LLuis Henrique Martinez
Outstanding!!
