1. submit your own original question and POST OF LESS THAN 300 WORDS. and cite
2. submit a response to TWO other questions posed that week by your classmates and cite each one of them

 POSTS 

1. Are non-monetary performance indicators important, and if they are, what challenges exist in using them?

In section 4.9 of our book, the notion is presented that non-monetary performance indicators have become more and more prevalent, forcing Civil Engineers to engage with the public and private clients much more often, and much earlier in the process than ever before.

Considerations for:

• Environmental issues
• Disparate populations
• Anti-Nuclear activists

All of these groups have armies of supporters they can use to put pressure on decision makers and designers, to produce more favorable outcomes for their causes and push companies to consider these causes as part of their ongoing measurement of success.

The Wharton School of Business at UPENN, talks about five of the challenges of using non-monetary measures:

• The cost of considering a number of monetary and non- monetary measures is often greater than any benefits you might gain.
• Unlike the more standard economic efficiency measures, non-financial data are measured in a lot of different ways, meaning there are no common denominators.
• Difficulty linking non-monetary PI’s to financial PI’s to be able to justify the importance.
• Because non-monetary measures are less objective, they become much harder to track and what you can track is less reliable than more traditional KPI’s
• Some might say that the addition of non-monetary measures contributes to an overall dilution of the much more important financial measures.

2. How does monetary value affect index performance?

Monetary value is the amount of money a person, business, or market puts you into a product, product, or service. In fact, many of the goods and services in our modern economy have prices based on the value of money. Let’s look at some examples of resources, goods, and services that are priced:

• Items such as metals, agricultural products, oil, gas and other natural resources
• Visible material, which is the most personalized object, such as a computer, pencil and art
• Intangible assets, such as patents, copyrights, and copyrights
• The world
• Certain intellectual property rights, such as gas, minerals, oil, timber and water rights
• Jobs
• Work, such as salary and salary
• And businesses

In fact, almost everything related to our modern economy and market has value for money.

Describe a plan of action and its impact on creating a risk management plan 

500 words , APA format with references needed.

 Discuss, in your own words using 500 words or more, how virtualization may create it’s own security vulnerabilities.   

Ransomware attacks on the United States, state and local governments since 2013 and are increasing at an alarming rate. Research ransomware attacks on three federal or state jurisdictions, with one of them being the City of Baltimore.

For this assignment, you are to describe ransomware, what impact did these attacks have on the three jurisdictions in terms of cost and lost revenue, did these municipalities pay the ransom amount demanded or did they try and recover from the attack without paying the ransom. If so, how much did the data recovery cost the municipality, and lastly, what would you do if you were the governor or mayor of this ransomware attack…pay or not pay.

This paper should be at least three pages long, double spaced, with your name, date, and title included as a header, page numbering in the footer in the form of page x of y, and have references cited per APA formatting guidelines. You must use a minimum of five references and none of them can be Wikipedia.

Based on your Module topics, what did you find new and interesting?  And what appeared to be a review?  Also, identify at least one discussion post you found interesting, helpful, or beneficial (and why). 

Topics covered in this Module

• Data visualization
• Table design principles
• Chart types
• PivotCharts
• Advanced data visualization
• Data dashboards
• Events and probabilities
• Conditional probability
• Random variables
• Discrete probability distributions
• Continuous probability distributions

Learning objectives

By the end of this module, students should be able to:

• Explain design techniques for data visualization
• Create pivot tables, scatter charts, bar charts, bubble charts, pivotcharts in Excel
• Identify applications for data dashboards
• Describe events and probabilities
• Explain conditional probability, Bayes’ Theorem, Multiplication Law
• Discuss random variables and probability distribution
• Calculate in Excel
  • expected value
  • variance
  • standard deviation
  • binomial probabilities
  • poisson probabilities
  • mean
  • exponential probabilities