Computer Science

Write a Comprehensive Security Operations Plan. Research the following areas of security management. What is a Security Operations Center (SOC)?                                                        4-pages Training Policy for staff                                                                                                    3-pages Ethics, Equality and Diversity in the workplace policy                                     3-pages Explain in detail and cite as required in APA 6th ed. format. Ten (10) pages (not including title page,  abstract page and reference page. At least eight (8) references are required.  ·       Cover page: Research title, student’s full name, course, institution and professor’s name ·       Abstract page ·       Double spaced, using Arial, 12 font in black ·       Microsoft Word doc.  ·       Pages numbered and placed on lower right side

1. Do a little research on the internet and using the supplement reference material that I provided. . Briefly describe your understanding of how the Operating Systems (OS) manages memory in modern computer systems. 2. In your own words, describe the structure of a computer’s machine instruction.  Please share with the class your understanding of how a machine instruction is structured in modern computers.

Answer the following 4 question. 1.       Question 1: Conduct a websearch for a GIS Python: scikit-learn. Describe scikit-learn, what is used for and how it is used for in 3-5 sentences in your own words. You can refer to https://scikit-learn.org/stable/getting_started.html as a start point.   2.       Question 2: Conduct a websearch for a GIS Python: seaborn. Describe seaborn, what is used for and how it is used for in 3-5 sentences in your own words. You can refer to https://seaborn.pydata.org/introduction.html as a start point.   3.       Question 3: Conduct a websearch for GIS Ecological Marine dataset. Describe a GIS Ecological Marine dataset is and what is used for is in your own words.   4.       Question 4: Conduct a websearch for GIS Pearson’s correlation. Describe what GIS Pearson’s correlation is and what is used for is in your own words.

(1)  Read the attached case to understand the following: a-  What Wikipedia is and is not. b-  How it works. c-  Why it generates controversy. (2)  Write a paper to persuade your professor to let you use Wikipedia for a research paper.  List at least three reasons why Wikipedia is a good source and how you would use Wikipedia for a research paper.    (a)  Include a brief history of Wikipedia:   Who is the founder of Wikipedia?  When was it found?  Where is the company located?   (b)  Please use the following writing policies: -Write at least one page and no more than three pages; use the template attached -Use paragraphs when you write -Double space -Use what you learned in the first 1/2 of the course to write using complete sentences. -Cite your resources (3)  Please refer to the rubric.

Respond in your own words in this Discussion forum in 50-100 word responses to the following questions: 1) How do Agile project management approaches relate to traditional (PMI PMBOK) approaches? 2) What is Scrum and how does it relate to Agile methodologies? 3) What are the three main Scrum Roles (or Agile Roles) and how should they serve customer value (what is needed) over constraints (schedule, cost, etc.)? 4) Based on a quick “sweep” of the web (web search), identify and discuss one company or government agency actively using Agile PM (Hint: Search DoD or VA  AND Agile or Scrum for many government hits). Note: Content not coming directly from you will need to be cited per APA. FYI, best practice is to use citations to support your content and assertions. Note: Responses may be a single paragraph or multi-paragraph, but should be well-organized, thorough, and well-presented.

Background  As cybercrimes have become more sophisticated over the years, organizations needed better solutions to prevent and manage threats. Eventually, this leads to full time incident response teams. Part of the incident response efforts are to understand and assess exactly what was done during an attack or compromise. Systems need to be scrutinized by a variety of forensic tools and in-depth investigations so that organizations can understand the depths of a compromise and the impact that compromise may have to information assets. Based on the scenario described (just before the guided exercise):  a. Create an incident response report using concepts from the guided exercise and the previous labs. The report should be no more than 3 pages, and should include:     i. Executive Summary (for non-technical decision-makers) • Answer specifics such as:           a. What was the attackers IP address?           b. How did attacker know which accounts to try?           c. Was root compromised?           d. How do we get more information on the File Manager app?     ii. Detection and Analysis (of the incident and events)           • Identify what, how, who, where, and when.           • Provide evidence (screenshots).     iii. Recovery • Provide recommendations            a. How can they prevent this in the future?            b. Should they notify customers and/or stakeholders?                        • Create a clear and concise timeline of the major events.      iv. Lessons Learned (from the company’s perspective)

Please upload 3 separate documents, the first document will contain 2 pages of the chapter 13 summary, and the second document will contain 2 pages of Chapter 14 summary, and the 3rd document will contain 1 page of the discussion board.    CHAPTER SUMMARIES: Chapter summaries are a minimum of 500 words, not including headers or footers, or paragraph headers, and should cover all the major concepts of each chapter, summarized in your own words, and not copied and pasted from the book or ANY outside source. These summaries should be written in your own words after having been summarized from the completed readings. Please see the grading rubric for additional details. Please summarize chapter 13 and Chapter 14 main concepts separately from the book, I will upload the book as a pdf, and I will upload the grading rubric!  Discussion Board:  What specific concepts (e.g. pick from Knowledge Units in the syllabus from the current week) to the current reading do you find the most interesting and/or impactful to Cybersecurity?  Explain the concept thoroughly, explain your position (e.g. why is it impactful to the field of Cybersecurity and/or so interesting to you) and provide several examples that support your argument. I will also upload the grading rubric for the discussion board.

Write a 2 – 4 page paper on “A day in your life and influence of modern Knowledge Management tools”. What kind of a day you are experiencing with and without various automated/digitized tools and devices (i.e., gadgets, wearables, etc.,)?

Requires SPSS to answer the research question. To prepare for this Discussion: Review this week’s Learning Resources and media program related to multiple regression. Create a research question using the Afrobarometer Dataset or the HS Long Survey Dataset, that can be answered by multiple regression. Use SPSS to answer the research question. Post your response to the following: If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the HS Long Survey Dataset, report the mean of X1Par1Edu. What is your research question? What is the null hypothesis for your question? What research design would align with this question? What dependent variable was used and how is it measured? What independent variables are used and how are they measured? What is the justification for including these predictor variables? If you found significance, what is the strength of the effect? Explain your results for a lay audience, explain what the answer to your research question. Required Readings Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications. Chapter 12, “Regression and Correlation” (pp. 401-457) (previously read in Week 8) Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications. Chapter 11, “Editing Output” (previously read in Week 2, 3, 4, 5. 6, 7, and 8) Walden University Library. (n.d.). Course Guide and Assignment Help for RSCH 8210. Retrieved from http://academicguides.waldenu.edu/rsch8210 For help with this week’s research, see this Course Guide and related weekly assignment resources. Document: Walden University: Research Design Alignment Table

Hello I have 2 Q in Data mining please help me for that : Q1:                                                                           Alzheimer’s disease is a progressive disorder that causes brain cells to waste away (degenerate) and die. Alzheimer’s disease is the most common cause of dementia a continuous decline in thinking, behavioral and social skills that disrupts a person’s ability to function independently. The early signs of the disease may be forgetting recent events or conversations. As the disease progresses, a person with Alzheimer’s disease will develop severe memory impairment and lose the ability to carry out everyday tasks. Current Alzheimer’s disease medications may temporarily improve symptoms or slow the rate of decline. These treatments can sometimes help people with Alzheimer’s disease maximize function and maintain independence for a time. Different programs and services can help support people with Alzheimer’s disease and their caregivers. Refer to the following link to have a brief review for this disease: https://www.mayoclinic.org/diseases-conditions/alzheimers-disease/symptoms-causes/syc- 20350447   Tasks: –   Build the dataset that would be helped in classifying the level of Alzheimer’s disease. ·      Determine the number and the names of classes that would be used in your experiment (level of Alzheimer’s disease). ·      Determine the best attributes that effect diagnosing this disease. Assign the suitable type for these attributes, make scientific argument for each type  ·      Attach your file (CSV or arff, or Excel) after fill it with 30 records . ·      Perform exploratory data analysis to get a good feel for the data and prepare the data for data mining, supports your answer by add snapshots of the preprocessing part . ·      The task in this dataset is to make predictions of the degree of Alzheimer’s , Which is the suitable filter that supposed to use to select your attributes.  ·      Visualize your attributes. In ?Note: solving this question, there must be an excel file written in the attributes and sent with the solution ·      Smooth your data set using Bin size=3, with all possible methods. Are there any reasons to make this process?