· Pick two (2) charts of different chart type (Categorical, Hierarchical, Relational, Temporal and Spatial) [Do not choose bar, pie and line charts)

· For each use a tool that can be used to create the selected chart. Use a different tool to create each chart.

· For each chart, write how to read the chart and what to look for.

Delivery: A word file with the following information:

1. 2 Charts

2. 2 Screenshots of the charts in development with the tools selected.

3. Paragraphs detailing how to read each chart and what to look for.

Could I please have this assignment completed (coding-related) in a detailed pseudocode and Python code?

All non-coding related, please have it answered as detailed and clear as possible.

Would be happy to provide the lecture notes if needed.

Please ensure work are plagiarism-free.

Instructions

Identify what are the different types of hash values. Then tell me, what is the recommended hash value and WHY (and see if you can find case law supporting this!)

Value of this assignment

When you lead an investigation then it is important for you to be comfortable with the different types of hash values as well as knowing what hash value your tool (hardware or software) will provide.

Knowing all this is helpful as part of your courtroom experience and/or if you want to cross-examine the forensic specialist.

Format

Please provide me your analysis in a 1-page document. 

 identify the best electronic element to secure a highly secure environment like the NSA 

Academic Research Team Project Paper

COVID-19 Open Research Dataset Challenge (CORD-19)

An AI challenge with AI2, CZI, MSR, Georgetown, NIH & The White House

(1) FULL-LENGTH PROJECT

Dataset Description

In response to the COVID-19 pandemic, the White House and a coalition of leading research groups have prepared the COVID-19 Open Research Dataset (CORD-19). CORD-19 is a resource of over 44,000 scholarly articles, including over 29,000 with full text, about COVID-19, SARS-CoV-2, and related corona viruses. This freely available dataset is provided to the global research community to apply recent advances in natural language processing and other AI techniques to generate new insights in support of the ongoing fight against this infectious disease. There is a growing urgency for these approaches because of the rapid acceleration in new coronavirus literature, making it difficult for the medical research community to keep up.

Call to Action

We are issuing a call to action to the world’s artificial intelligence experts to develop text and data mining tools that can help the medical community develop answers to high priority scientific questions. The CORD-19 dataset represents the most extensive machine-readable coronavirus literature collection available for data mining to date. This allows the worldwide AI research community the opportunity to apply text and data mining approaches to find answers to questions within, and connect insights across, this content in support of the ongoing COVID-19 response efforts worldwide. There is a growing urgency for these approaches because of the rapid increase in coronavirus literature, making it difficult for the medical community to keep up.

A list of our initial key questions can be found under the Tasks section of this dataset. These key scientific questions are drawn from the NASEM’s SCIED (National Academies of Sciences, Engineering, and Medicine’s Standing Committee on Emerging Infectious Diseases and 21st Century Health Threats) research topics and the World Health Organization’s R&D Blueprint for COVID-19.

Many of these questions are suitable for text mining, and we encourage researchers to develop text mining tools to provide insights on these questions.

In this project, you will follow your own interests to create a portfolio worthy single-frame viz or multi-frame data story that will be shared in your presentation. You will use all the skills taught in this course to complete this project step-by-step, with guidance from your instructors along the way. You will first create a project proposal to identify your goals for the project, including the question you wish to answer or explore with data. You will then find data that will provide the information you are seeking. You will then import that data into Tableau and prepare it for analysis. Next you will create a dashboard that will allow you to explore the data in depth and identify meaningful insights. You will then give structure to your data story by writing the story arc in narrative form. Finally, you will consult your design checklist to craft the final viz or data story in Tableau. This is your opportunity to show the world what you’re capable of – so think big, and have confidence in your skills!

Kaggle Website:

https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge

Assignment Length (word count): at least 15 pages.

References: At least 10 peer-reviewed, scholarly journal references.

Risk management is one of the most important components in empowering an organization to achieve its ultimate vision. With proper risk management culture and knowledge, team members will be “speaking” the same language, and they will leverage common analytical abilities to identify and mitigate potential risks as well as exploit opportunities in a timely fashion. In order to consolidate efforts, the existence of an integrated framework is crucial. 

This is why an ERM is necessary to the fulfillment of any organization’s goals and objectives. In your final research project for the course, your task is to write a 7-10 page paper discussing the following concepts:

• Introduction – What is an ERM?
• Why Should an Organization Implement an ERM Application?
• What are some Key Challenges and Solutions to Implementing an ERM?
• What is Important for an Effective ERM?
• Discuss at least one real organization that has been effective with implementing an ERM framework/application.
• Conclusion – Final thoughts/future research/recommendation

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 FIVE 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.

What is the procedure of becoming a writer on this site?

Provide a reflection of at least 500-800 words of how the knowledge, skills, or theories of “ Data Mining ” have been applied or could be applied, in a practical manner to your current work environment(software developer). If you are not currently working, share times when you have or could observe these theories and knowledge could be applied to an employment opportunity in your field of study. 

Requirements:

Provide an 500-800 word minimum reflection.

Use of proper APA formatting and citations. If supporting evidence from outside resources is used those must be properly cited.

Share a personal connection that identifies specific knowledge and theories from this course.

Demonstrate a connection to your current work environment. If you are not employed, demonstrate a connection to your desired work environment. 

Discuss the relationship between the Waterfall model, work breakdown structure (WBS), RACI chart, scheduling and cost, when a decision has been made to migrate to the Cloud.  Please be sure to explain why.  Do not forget to follow the discussion forum guidelines.

This week’s journal article was focused on how information and communication innovation drives change in educational settings. The key focus of the article was how technology-based leadership has driven the digital age.  Also, that the role of technology leadership incorporates with the Technology Acceptance Model (TAM).

In this paper, address the following key concepts:

1. Define TAM and the components.
2. Note how TAM is impacting educational settings.
3. Give an overview of the case study presented and the findings.

Be sure to use the UC Library for scholarly research. Google Scholar is also a great source for research.  Please be sure that journal articles are peer-reviewed and are published within the last five years.

The paper should meet the following requirements:

• 3-5 pages in length (not including title page or references)
• APA guidelines must be followed.  The paper must include a cover page, an introduction, a body with fully developed content, and a conclusion.
• A minimum of five peer-reviewed journal articles.

The writing should be clear and concise.  Headings should be used to transition thoughts.  Don’t forget that the grade also includes the quality of writing.