I need Documents for the Discussion and for the Assignment separately and should be STRICTLY PLAGIARISM FREE.

Provide References for all the work

ERM

DISCUSSION TOPIC: 13

Discussion Length (word count): At least 700 words (not including direct quotes).

Reading Article :

https://journals.sagepub.com/doi/10.1177/107311051…

The article on IRB this week discusses broad consent under the revised Common Rule. When you are doing any sort of research you are going to need to have your research plan approved by the University’s institutional review board or IRB. If you have never heard of this term before, please take a look online and find a brief summary of what it is about, before you read the article.

Please answer the following questions in your main post:

• What are the main issues that the article addresses?
• What is the Common Rule?
• How is this issue related to information systems and digital privacy?

ASSIGNMENT TOPIC: 12

• What are mobile forensics and do you believe that they are different from computer forensics?
• What is the percentage of attacks on networks that come from mobile devices?
• What are challenges to mobile forensics?
• What are some mobile forensic tools?
• Should the analysis be different on iOS vs Android?

Your paper should meet the following requirements:

• Be approximately four to six 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. You are being graded in part on the quality of your writing.

BI

ASSIGNMENT TOPIC:

Complete the following assignment in one MS word document:

——–Chapter 8 –discussion question #1-4 & exercise 4

Discussion questions:

1. How does prescriptive analytics relate to descriptive and predictive analytics?

2. Explain the differences between static and dynamic models. How can one evolve into the other?

3. What is the difference between an optimistic approach and a pessimistic approach to decision making under assumed uncertainty?

4. Explain why solving problems under uncertainty some-times involves assuming that the problem is to be solved under conditions of risk.

Exercise: 4.

Investigate via a Web search how models and their solutions are used by the U.S. Department of Homeland Security in the “war against terrorism.” Also investigate how other governments or government agencies are using models in their missions.

Chapter 9- discussion question #1-5 & exercise 3

Discussion questions:

1. What is Big Data? Why is it important? Where does Big Data come from?

2. What do you think the future of Big Data will be? Will it lose its popularity to something else? If so, what will it be?

3. What is Big Data analytics? How does it differ from reg-ular analytics?

4. What are the critical success factors for Big Data analytics?

5. What are the big challenges that one should be mind-ful of when considering implementation of Big Data analytics?

Exercise: 3.

At teradatauniversitynetwork.com, go to the Sports Analytics page. Find applications of Big Data in sports. Summarize your findings.

When submitting work, be sure to include an APA cover page and include at least two APA formatted references (and APA in-text citations) to support the work this week.

All work must be original (not copied from any source).