1. Question 1 How does parallel processing work in computer architecture? 
2. Question 2 What does Amdahl’s law state? What is Amdahl’s law and why it is used? 
3. Question 3 What are the applications of parallel processing in computer architecture? 
4. Question 4 What are the challenges in parallel processing in computer architecture? 
5. Question 5 Identify reasons for and consequences of the recent switch from sequential processing to parallel processing among hardware manufacturers. 

Assignment 3 Health Data Review

Q  2: Examining Administrative Claims Data.

Please access and examine the CMS 2008-2010 Data Entrepreneurs Synthetic Public Use File (DE-SynPUF). The CMS 2008-2010 Data Entrepreneurs’ Synthetic Public Use File (DE-SynPUF) are neat datasets to give students experience with healthcare data. Although these data are synthetic, they were created from real Medicare claims data and hence retain a lot of features of the original data. 

Moreover, the data samples are very large. Thus, there is a lot of opportunity to query and explore “big data” to some extent. Here are some of the key phrases that CMS uses to describe the data: 

“The DE-SynPUF was created with the goal of providing a realistic set of claims data in the public domain while providing the very highest degree of protection to the Medicare beneficiaries’ protected health information. The tables contain five types of data – Beneficiary Summary, Inpatient Claims, Outpatient Claims, Carrier Claims, and Prescription Drug Events.”

Upload a PDF of your answers to the following questions:

For Part 1: The Star Schema

1. What are some practical advantages to using a star schema data model over a relational model? A few are mentioned in the lecture, but challenge yourself to identify others. ( describe at least  3 advantages)

2. What are some of the disadvantages of using a star schema versus a relational model?

3. What criteria might you use to evaluate which approach to use in a given situation?

For Part 2: Examining Administrative Data

1. In 5-6 sentences, describe the data: Why was it originally collected? What were the sources of the data? Who collected it, ie. Doctors, nurses, pharmacy, self-reported, etc. Where was it collected? How is the context identified?

2. What sorts of things could this data measure? How might these measures identify opportunities to improve patient care or healthcare operations? Who would benefit from this information?

3. What are some of the limits to the use of this data?

4. How might you verify and validate this data?

5. How difficult would this data be to map for comparison to other data?

6. What might be some possible issues with these data in contrast to the more rich clinical type of data?

There are 2 parts of this question

Part 1

 Share your topic idea(s) here. Here are some things to consider:

1. Identify a topic in your specialization. (For IT students, Information Technology is not a topic, however, Millennial’s perceptions of smart phone technology could be a topic.  For leadership students, leadership or leadership styles would be too broad.  You could, however, compare leader and followers perceptions of leadership styles in private four year institutions. These are examples).  
2. What is the cited problem? The problem you want to address has to come from the literature, and be cited, who are saying there are problems.
3. What is the population you would like to address?
4. What methodology are you planning on using? (If you are unsure, do you plan on a quantitative or qualitative study?  You will determine your methodology in 839).
5. Locate at least one article related to your topic. What was the research question in the study? Who were the participants in the study? What findings were reported?

Part 2

Completion of the dissertation primarily rests upon you, the doctoral student. However, research indicates that self-regulated learning strategies predict the elapsed time along the dissertation journey (Dunn & Rakes, 2015; Kelley & Salisbury-Glennon, 2016). One such strategy is the creation of a timeline. This cyclical process has the learner plan out a task, monitor their performance along major milestones, reflect on their progress, and then use the reflection to adjust the timeline. However, to be effective, this strategy needs to be personalized for each learner’s purpose (Zimmerman, 2002).

Using the attached template as a guide, you are to create such a timeline – a roadmap, if you will, along your dissertation journey. Incorporated within the timeline are major milestones. Build into the timeline goals for each milestone with specific dates. You may also want to include specific contact information as well as possible obstacles that may arise. This will be a tool you will bring to each consultation with your professor/chair. Most importantly, it is to be a useable point of reference along your dissertation journey.

References

Dunn, K., & Rakes, G. (2015). Exploring online graduate students’ responses to online self-regulation training. Journal of Interactive Online Learning, 13(4), 1–21.

Kelley, M., & Salisbury-Glennon, J. (2016). The Role of Self-regulation in Doctoral Students’ Status of All But Dissertation (ABD). Innovative Higher Education, 41(1), 87–100.

Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory into Practice, 41(2), 64-70.

Choose an Alert closely related to the weekly topic and write a concise summary using the template.

Assignment Directions: 

1.  The US Government Cybersecurity & Infrastructure Security Agency (CISA) provides timely notification to critical infrastructure owners and operators concerning threats to critical infrastructure networks. Each week, review the National Cyber Awareness System website.   
2.  Choose a topic closely related to our weekly material and write a concise summary using the organizational template and example