Write a paper that explains the following topics.
Computer Ethics
Impact of Computer Technology
Trusting Technology
Freedom of speech in Cyber
Intellectual Property
Computer Crime
Impact and Control of Computers
Tag: Computer science questions
Computer science questions
Give three business examples of data that must be processed to provide useful information.
When would a business use mobile computing or web-based information systems in their operations? Discuss an example of a business function that could be implemented on each platform, and explain why that platform would be preferred over the other platform.
Give two examples of phenomena that are a social concern because of information technology. Explain.
In which situations does one need to make a decision? Give three examples not mentioned in the chapter
Give three examples in which raw data also serves as useful information.
An SIS often offers a corporation short-lived advantages. How so?
What conditions must exist in an organization planning an SIS?
Computer science questions
1. What are the three characteristics of Big Data, and what are the main considerations in processing Big Data?
2. Explain the differences between BI and Data Science.
3.Briefly describe each of the four classifications of Big Data structure types. (i.e. Structured to Unstructured)4.List and briefly describe each of the phases in the Data Analytics Lifecycle.
5.In which phase would the team expect to invest most of the project time? Why? Where would the team expect to spend the least time?
6.Which R command would create a scatterplot for the dataframe,, assuming df contains values for x and y?
7.What is a rug plot used for in a density plot?
8.What is a type I error? What is a type II error? Is one always more serious than the other? Why?
9.Why do we consider K-means clustering as a unsupervised machine learning algorithm?
10.Detail the four steps in the K-means clustering algorithm.
11.List three popular use cases of the Association Rules mining algorithms.
12.Define Support and Confidence
13.How do you use a hold-out dataset to evaluate the effectiveness of the rules generated?
14.List two use cases of linear regression models.
15.Compare and contrast linear and logistic regression methods.
Computer science questions
1.) In your own words, how would you define Big Data Analytics? What are the 3 Vs of Big Data, explain? What are the characteristics of Big Data?
2.)Information Governance, IT Governance, Data Governance: What’s the Difference? Briefly explain.
Computer science questions
1. What were the benefits of implementing an EDW at Isle? Can you think of other potential benefits that were not listed in the case?
2. What are ROLAP, MOLAP, and HOLAP? How do they differ from OLAP?
Please provide intext-citations.