NETWORKING: A KEY TO SUCCESSFUL TEAMWORK
A. Consider the different teams presented in your reading assignment. How do the teams manage their team boundaries? What are the trade-offs between internal cohesion and external ties within each type of team? Support your discussion with at least two (2) external sources.
B. Consider the list of common roles for team members which of these roles do you think you play in your own team or group? Why?
Discussion Topic – Please respond to each of the following topics in different sections, labeling each section. You will perform ONE (1) reply to this post as you have always done, but answer all of these questions/comments. You are required to respond to at least two (2) other class responses. You must provide a response to all topics to receive credit.
Topics:
Paper:
write a paper on governing the cloud. The following are the items to discuss in the paper:
Paper requirements:
Discuss the advantages and disadvantages of Standards and Frameworks with an organization.
Discuss this statement: “Both auditors and organizations benefit greatly from using well-known standards and frameworks”. What is your opinion and is it true? How does it benefit the organization?
write a research paper discussing the concept of risk modeling. Please also evaluate the importance of risk models. Lastly, construct an approach to modeling various risks and evaluate how an organization may make decisions about techniques to model, measure, and aggregate risks.
Your paper should meet the following requirements:
Be approximately four pages in length, not including the required cover page and reference page.
Follow APA7 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
Support your answers with the readings from the course and at least two scholarly journal articles to support your positions, claims, and observations, in addition to your textbook. The UC Library is a great place to find resources.
Be clearly and well-written, concise, and logical, using excellent grammar and style techniques.
Go online and search for information that relates to ethical hacking (white hat or gray hat hacking). Choose one of these areas explain why a company might benefit from hiring someone to hack into their systems.
Your assignment should be 3-4 paragraphs(300 words) in length.
Instructions
In order to complete assignment #5, you will need to answer the below questions. Please complete the questions in a Word document and then upload the assignment for grading. When assigning a name to your document please use the following format (last name_Assignment #5). Use examples from the readings, lecture notes, and outside research to support your answers. The assignment must be a minimum of a 1-full page in length with a minimum of 2 – outside sources. Please be sure to follow APA guidelines for citing and referencing sources. Assignments are due by 11:59 pm Eastern time on Sunday.
Chapter 8
Review Question #4 on page 261 and then answer the following question:
The new age of technology presents many opportunities for litigation. The Internet is no exception. When operating Internet websites, an important part of it is owning the domain name (www.example.com). Anyone in the world can own any domain name that is available and the facts of this case arise from this concept.
The plaintiff, in this case, Weather Underground Corporation (Weather Underground), a Michigan corporation, is a commercial weather service. It owns and operates several domain names so that people can access their company through their websites. Defendants, in this case, Navigation Catalyst Systems, Incorporated (“NCS”), a Delaware corporation, owns many domain names that are similar to the plaintiff’s company name (some would result from people misspelling the correct domain name for Weather Underground). NCS profits from consumers going to one of these websites and clicking on links that are on them.
Plaintiff filed suit against NCS and several of its companies in the District Court for the Eastern District of Michigan. As defendants were not incorporated in Michigan, the issue of personal jurisdiction arise. The courts of appeals have held that in order to establish specific personal jurisdiction (showing that this company has established contacts with the forum state), one must show three things: (1) the defendant purposefully availed himself of the privilege of acting in the forum state, (2) the cause of action arises from the defendant’s activities there, and (3) the defendant’s acts were so substantial as to make the exercise of personal jurisdiction there reasonable.
The district court is considering whether the exercise of personal jurisdiction is proper. What should it decide and why?
Weather Underground Inc. v. Navigation Catalyst Sys. Inc., No. 09–10756, 2009 WL 3818191 (E.D. Mich. Nov. 13, 2009).
The district court is considering whether the exercise of personal jurisdiction is proper. What should it decide and why?
Chapter 9
Apple, Inc., and Major League Baseball (MLB) signed an agreement for the broadcast of games. MLB will offer two live games per day, subject to blackout restrictions. Then MLB plans to roll out an entire offering of out-of-market games currently offered only through its premium live streaming video service. Identify some other, extra features users want. Identify restrictions that MLB will want to see in the agreement.
There are many ways to misrepresent data through visualizations of data. There are a variety of websites that exist solely to put these types of graphics on display, to discredit otherwise somewhat credible sources. Leo (2019), an employee of The Economist, wrote an article about the mistakes found within the magazine she works for. Misrepresentations were the topic of Sosulski (2016) in her blog. This is discussed in the course textbook, as well (Kirk, 2016, p. 305).
After reading through these references use the data attached to this forum to create two visualizations in R depicting the same information. In one, create a subtle misrepresentation of the data. In the other remove the misrepresentation. Add static images of the two visualizations to your post. Provide your interpretations of each visualization along with the programming code you used to create the plots. Do not attach anything to the forum: insert images as shown and enter the programming code in your post.
When adding images to the discussion board, use the insert image icon.
This is the data to use for this post: Country_Data.csv
Before plotting, you must subset, group, or summarize this data into a much smaller set of points. Include your programming code for all programming work. It would be more likely that one would win a multi-million dollar lottery than plot the same information the same exact way. However, if you have, you will need to repost and make your post unique. The first post to provide the content does not need to change.
References
Kirk, A. (2016). Data visualisation: A handbook for data driven design. Sage.
Leo, S. (2019, May 27). Mistakes, we’ve drawn a few: Learning from our errors in data visualization. The Economist. https://medium.economist.com/mistakes-weve-drawn-a-few-8cdd8a42d368
Sosulski, K. (2016, January). Top 5 visualization errors [Blog]. http://www.kristensosulski.com/2016/01/top-5-data-visualization-errors/
An example post:
The factual and misrepresented plots in this post are under the context that the visualizations represent the strength of the economy in five Asian countries: Japan, Israel, and Singapore, South Korea, and Oman. The gross domestic product is the amount of product throughput. GDP per capita is the manner in which the health of the economy can be represented.
The visual is provided to access the following research question:
How does the health of the economy between five Asian countries: Japan, Israel, and Singapore, South Korea, and Oman, compare from 1952 to 2011?
The plot on the left is the true representation of the economic health over the years of the presented countries. Japan consistently has seen the best economic health of the depicted countries. Singapore and South Korea both have large increases over the years, accelerating faster than the other countries in economic health. Oman saw significant growth in the years between 1960 and 1970, but the growth tapered off. All of the countries saw an increase in health over the provided time frame, per this dataset. Israel saw growth, but not as much as the other countries.
The plot on the right is only GDP and does not actually represent the economic health. Without acknowledging the number of persons the GDP represents, Japan is still the leading country over the time frame and within the scope of this dataset. Singapore’s metrics depict some of the larger issues of representing the GDP without considering the population. Instead of Singapore’s metrics depicting significant growth and having a level of health competitive with Japan in the true representation, Singapore has the fourth smallest GDP. It indicates that Singapore’s economy is one of the least healthy amongst the five countries.
The programming used in R to subset, create, and save the plots:
# make two plots of the same information - one misrepresenting the data and one that does not# use Country_Data.csv data# plots based on the assumption the information is provided to represent the health of the countries' economy compared to other countries# August 2020# Dr. McClure
library(tidyverse)library(funModeling)library(ggthemes)
# collect the data filepData <- read.csv("C:/Users/fraup/Google Drive/UCumberlands/ITS 530/Code/_data/Country_Data.csv")
# check the general health of the data
df_status(pData)# no NA's no zeros
# look at the data structureglimpse(pData) # nothing of note
# arbitrarily selected Asia, then list the countries by the highest gdp per capita, to plot competing economies*# select countries - also use countries that cover all of the years in the dataset (52 years)(selCountries <- pdata %>%
filter(continent == "Asia") %>% group_by(country) %>% summarise(ct = n(),
gdpPop = mean(gross_domestic_product/population)) %>% arrange(-ct,
-gdpPop) %>% select(country) %>% unlist())# many countries have 52 years worth of data
# good plot representation of the GDP per capitap1 <- pdata %>% filter(country %in% selCountries[1:5]) %>% # use subset to identify the top 5 countries to filter for ggplot(aes(x = year, # plot the countries for each year y = log(gross_domestic_product/population), # calculating the log of gdp/pop = GDP per capita color = country)) + # color by country geom_line() + # creating a line plot scale_x_continuous(expand = expansion(add = c(7,1)), # expand the x axis, so the name labels of the country are on the plot name = "Year") + # capitalize the x label, so the annotation is consistent geom_text(inherit.aes = F, # don't use the aes established in ggplot data = filter(pData, # filter for one data point per country for the label, so one label per country country %in% selCountries[1:5], year == 1960), aes(label = country, # assign the label x = year, y = log(gross_domestic_product/population), # keep the axes and color the same color = country), hjust = "outward", # shift the text outward size = 3) + # make the text size smaller scale_color_viridis_d(end = .8, # don't include the light yellow, not very visible guide = "none") + # no legend, because of text labels scale_y_continuous(name = "GDP per capita - Log Scale") + # rename y axis ggtitle("Five Asian Countries: GDP per Capita between 1960 and 2011") + # plot title theme_tufte()
# misrepresent economic health - don't account for populationp2 <- pdata %>% filter(country %in% selCountries[1:5]) %>% # use subset to identify the top 5 countries to filter for ggplot(aes(x = year, # plot the countries for each year y = log(gross_domestic_product), # calculating the log of gdp color = country)) + # color by country geom_line() + # creating a line plot scale_x_continuous(expand = expansion(add = c(7,1)), # expand the x axis, so the name labels of the country are on the plot name = "Year") + # capitalize the x label, so the annotation is consistent geom_text(inherit.aes = F, # don't use the aes established in ggplot data = filter(pData, # filter for one data point per country for the label, so one label per country country %in% selCountries[1:5], year == 1960), aes(label = country, # assign the label x = year, y = log(gross_domestic_product), # keep the axes and color the same color = country), hjust = "outward", # shift the text outward size = 3) + # make the text size smaller scale_color_viridis_d(end = .8, # don't include the light yellow, not very visible guide = "none") + # no legend, because of text labels scale_y_continuous(name = "GDP - Log Scale") + # rename y axis ggtitle("Five Asian Countries: GDP between 1960 and 2011") + # plot title theme_tufte()# save each plot with a transparent background in the archive image folder ggsave(filename = "PerCapita.png", plot = p1, bg = "transparent", path = "./code archive/_images")ggsave(filename = "GDP.png", plot = p2, bg = "transparent", path = "./code archive/_images")It is important to understand that humans and technology interact in all information systems. Why do you feel businesses must spend time and money to educate their employees on security matters?
Deliverables : need a power point presentation of 10 slides for a training of
You are employees in an information security (IS) Department. Make sure to provide an overview of the ficticious company you are basing this presentation on before starting the presentation. The intent is that the presentation could be portable between organizations. Make sure to base your presentation on employees who use systems internally, externally, vendors, visitors, etc. This is meant to be an original work.
Here is a unique training video made to take boring information we all have heard many, many times but often ignore even though it could impact our preseonal safety.
Book attached
In chapter 1, the author presents several use cases for blockchain technology. Describe the use case that aligns most closely with your current job role, including how blockchain technology would change things that you currently do in your job. If you are not working in a job role that aligns nicely with a use case presented in chapter 1, describe a job role that you would like to hold after finishing your degree program, and how blockchain technology may affect those job functions.
Note: working as a Business Analyst in Information Technology.
Strictly follow the instruction.
some of the example from chapter one topic