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1. What is discourse analysis? Give an example of how this could be used in a research study.
For example, using discourse analysis to study the social interaction of Pokemon Go users. One could collect conversations of user discussing community event days to understand what motivates them to join in on those days.
2. What is data collection? What types of qualitative data do you think you could collect and why?
3. What is the purpose of coding your data? Select one type of coding strategy mentioned in this week's materials and describe how it can be used in a (or your) research study.
Use the GraphW Workshop applet to find the minimum spanning tree of the graph shown in Figure 14.6, "Train fares in Magnaguena." Consider the graph to be undirected; that is, ignore the arrows.
Create an approximate 90-word security policy mission statement for Dayton Soft Products.
Define what is meant by outsourcing. Summarize the outsourcing risks concerning control, long-term costs, and exit strategy.
Explain why using shift ciphers is a private key system.
A gaming system is priced at $395 CAN and the same system in Australia is priced at $505 AUD. In Australian dollars, which would be the better deal if $1 CAN = $1.09 AUD? By how much, in Australian dollars?
An extreme method of spooling, known as staging a tape, is to read the entire contents of a magnetic tape onto disk before using it. Discuss the main advantage of such a scheme
(Comparing Integers) Write a program that asks the user to enter two integers, obtains the numbers from the user, then prints the larger number followed.
Apply the data design, architectural design, component level design, and user-interface design activities to the AutoPark project.
Read Four academically reviewed articles on Cyber Security and Risk Management. discuss the relationship between cyber security and risk management.
When a user does not follow security procedures, what are two consequences to the organization you would emphasize? Why?
As word of the 3HS commitment to technology spreads among the staff and in the communities served. Artificial Intelligence for health,
MIT Professor Andrew Lo mentions that it is the high dimensionality of Big Data which makes his machine learning algorithms so potent
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