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Each community requires independent evaluation to identify the vulnerability of the area. Two of the contributing factors for this analysis are minority status and language limitations. The data may lack credibility due to the fear of reprisal for persons that fall into these categories. Exploring the social and physical characteristics, excluding these metrics can provide insight on the overall impact on the SVI.

Question 1: What impact does the exclusion of the metrics that represent minorities and language limited individuals have on the predictability of the CDC’s SVI, based on the 2018 data (CDC, 2018a; CDC, 2018b)?

Question 2: Does the CDC’s SVI have key characteristics that impact the preclude potential exclusion without limiting the overall predictability of the SVI, based on the 2018 data (CDC, 2018a; CDC, 2018b)?

Question 1: What impact does the exclusion of the metrics that represent minorities and language limited individuals have on the predictability of the CDC’s SVI, based on the 2018 data (CDC, 2018a; CDC, 2018b)?

Question 2: Does the CDC’s SVI have key characteristics that impact the preclude potential exclusion without limiting the overall predictability of the SVI, based on the 2018 data (CDC, 2018a; CDC, 2018b)?

Please refer file attached for more detail, looking for a paper of 800 words.

Due Oct 30th

I need help with my project the title is Internet of things 

I need paper with 10 pages 2 for the front & End and 8 for the project 

also I need a paper for the outline.

Compare and evaluate in 500 words or more qualitative v quantitative risk assessment.  

Use at least three sources. Include at least 3 quotes from your sources enclosed in quotation marks and cited in-line by reference to your reference list. Cite your sources. Do not copy. Write in essay format not in bulleted, numbered or other list format. 

Discussion: This week we focus on the various maturity stages and variables in the middle manager best practices arc.  Refer to chapter 12 from this week’s reading and not the various stages, what they are and why they are important.

 There is much discussion regarding Data Analytics and Data Mining.  Sometimes these terms are used synonymously but there is a difference.  What is the difference between Data Analytics vs Data Mining? Please provide an example of how each is used.  

This week’s written activity is a three- part activity. You will respond to three separate prompts but prepare your paper as one research paper. Be sure to include at least one UC library source per prompt, in addition to your textbook (which means you’ll have at least 4 sources cited). 

Start your paper with an introductory paragraph.

Prompt 1 “Data Warehouse Architecture” (2-3 pages): Explain the major components of a data warehouse architecture, including the various forms of data transformations needed to prepare data for a data warehouse. Also, describe in your own words current key trends in data warehousing. 

Prompt 2 “Big Data” (2-3 pages): Describe your understanding of big data and give an example of how you’ve seen big data used either personally or professionally. In your view, what demands is big data placing on organizations and data management technology? 

Prompt 3 “Green Computing” (2-3 pages):  One of our topics in Chapter 13 surrounds IT Green Computing. The need for green computing is becoming more obvious considering the amount of power needed to drive our computers, servers, routers, switches, and data centers. Discuss ways in which organizations can make their data centers “green”. In your discussion, find an example of an organization that has already implemented IT green computing strategies successfully. Discuss that organization and share your link. You can find examples in the UC Library.

Conclude your paper with a detailed conclusion section. 

The paper needs to be approximately 7-10 pages long, including both a title page and a references page (for a total of 9-12 pages). Be sure to use proper APA formatting and citations to avoid plagiarism.

Your paper should meet the following requirements:

• Be approximately seven to ten 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, the course textbook, and at least three scholarly journal articles to support your positions, claims, and observations, in addition to your textbook. The UC Library is a great place to find supplemental resources.

• Be clearly and well-written, concise, and logical, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.

 Can you explain how the GCD (Greatest Common Divisor) works based on lesson 2

 write a program that recommends treatment for a contagious disease. 

Read the attached Ethics-V.pdf which continues the discussion on the professional codes of software engineering ethics.

Then proceed to answer the questions inside the reading:

• Questions 8.1 and 8.2
• Case Study: Questions C1-C4

Because for many ethics questions there is no absolutely right or wrong answers as such, your responses will be graded based on completeness and thoughtfulness as opposed to rote or perfunctory ones. There are three grade levels for this assignment based on your responses to all the questions: 20 (no reasoning in responses), 35 (minimal to little reasoning), and 50 (sufficient reasoning and consideration).

Write your answers in a Word file using Times New Roman font (no smaller than 10 pt but no bigger than 12 pt), single spacing, 1″ margins on all sides.

Save your file as Ethics_5_FL where FL is your first and last name initial and Submit.