All posts by : chebby

Write a 6 page paper.     (APA7) FORMAT 

• What is information security policy and what is its central role in a successful information security program?
• What are two major types of security policy?
• What is needed to implement effective policy?

1. Refer to the 8-puzzle problem described below.
2. Suppose we want to add some knowledge to your blind search design to speed it up. 
   • What knowledge/information/heuristics will you add?  (I’m looking for a description of how you’ll use outside knowledge of the problem to guide the search here.)
   • What kind of improvement do you expect to have with your heuristic? (Less states searched?  Better solution found?  Something else?) 
   • How much improvement do you expect to have?  A lot? A little? Why?

      

Purpose

This assignment is intended to help you learn to solve a problem with Blind Search.

The Problem

The “8-puzzle” (or “15-puzzle”) is a “sliding tile” puzzle that you’ve probably seen one place or another. Here’s the Wikipedia article on it (https://en.wikipedia.org/wiki/15_puzzle).

Basically, you’re given a 3×3 (or 4×4) grid of tiles, with tiles holding the numbers 1-8 (or 1-15), and one cell empty. 

Please find the attachment for the initial and final states

A “move” is to move a tile above, below, to the left, or to the right of the blank into the empty space (which makes space previously holding the tile now empty). 

Action Items

1. Suppose we want to develop an AI-based search system to solve the problem described above.  Answer the following questions about the design of the solution: 
   1. How will you represent a “state” in this system? 
   2. How will you represent an action in this system?  How does it generate a new state? 
   3. What is the (worst-case) branching factor for your design? 
   4. If we are using uninformed search to solve this, do you think Breadth-First Search or Depth-First Search will be better?  Why?  Is there anything you need to worry about? 
2. Submit your work by the due date.

Answer the following: 

1. What types of security incidents are possible within an information systems infrastructure? Select one such incident and detail how you would respond to the incident.
   1. Describe key concepts in computer forensics. What important practices should be followed when gathering forensics data?
   2. Categorize the most important concepts related to legal, ethical, and privacy issues in the field of computer security. How would you go about implementing compliance to the policies in order to protect your organization?
2. Your initial post should be at least 300 words and supported with at least three references.

 Exp19_Excel_Ch08_ML2_Reading_Scores

Project Description:

As an elementary school principal, you are concerned about students’ reading comprehension. After conducting a study, you want to calculate some general statistics and then conduct a one-way analysis of variance (ANOVA). Doing so will enable you to compare three sample group means and evaluate the variances within each group compared to the variances among the three groups.

Start Excel. Download and open   the file named Exp19_Excel_Ch08_ML2_HW_ReadingScores.xlsx.   Grader has automatically added your last name to the beginning of the   filename.

In the range F2:H2, insert   functions that will calculate the average for each of the groups (Control,   CBT Only, Hybrid).

In the range F3:H3, insert   functions that will calculate the median for each of the groups.

In the range F4:H4, insert   functions that will calculate the most repetitive value for each of the   groups.

In the range F5:H5, insert   functions that will calculate the highest value for each of the groups.

In the range F6:H6, insert   functions that will calculate the lowest value for each of the groups.

In the range F7:H7, insert   functions that will calculate the variance for each of the groups. Use the   function that includes the .S descriptor.

In the range F8:H8, insert   functions that will calculate the standard deviation for each of the groups.   Use the function that includes the .S descriptor.

Format the values in the range   F2:H8 with the Comma Style with three decimal places.

Use the Data Analysis tools to   perform an analysis of variance using the range A2:C25 as the input range and   E11 as the output range.

Format the averages and   variances in the SUMMARY table with the Comma Style with three decimal   places.

Save and close   EXP19_Excel_CH08_ML2_HW _ReadingScores.xlsx. Exit Excel. Submit the file as   directed.

Assignment Content

1. At this point, you have found your research articles exploring your approved research question and you have learned how to find your 6 ‘ingredients’ during class (contact the Graduate Research Center for help if you need it: [email protected] OR the Virtual Library accessed through the Content page).

   You learned about the W(5) H(1) and completed Phase 2 on p. 13a of your Final ‘Mission’ Packet (Found in W. 4’s HW). This will be IMPORTANT for Week 7 so you MUST complete this before our next meeting. These notes will also help you with this assignment. See below: 

   For this assignment:  NOTICE THE DUE DATE

   1. You will open your Final ‘Mission’ Packet that is saved to your computer, and turn to p. 16a, “Activity: Analyze Your Research Articles: Compare and Contrast.” 
   2. Complete p. 16a using all 4 research articles in your workbook and them COPY and PASTE into a NEW Word document to be submitted here. 
   3. Grading: 
      Comparison = 50%
   • To earn full credit, you will have mentioned all four research articles, used correct in-text citations, used appropriate comparison, transition words, have written in full sentences, and have written FULLY in your own words. 
   • Contrast = 50% 
   • To earn full credit, you will have mentioned all four research articles, used correct in-text citations, used appropriate contrasting, transition words, have written in full sentences, and have written FULLY in your own words. 

Exp19_Excel_Ch08_CapAssessment_Employee_Satisfaction

Project Description:

You work as a data analyst for Camino Marketing, a U.S.-based web marketing company. You have been asked to conduct an employee satisfaction survey. As part of the survey, you will collect sample data to help provide insight into employee salaries, productivity within the three national offices, and to predict the growth of the New York office’s client base by 2025. Start   Excel. Download and open the file named Exp19_Excel_Ch08_CapAssessment_EmployeeSatisfaction.xlsx. Grader has automatically added   your last name to the beginning of the filename. Ensure the Employee Satisfaction   worksheet is active, then use the FREQUENCY function to calculate the   frequency distribution of job satisfaction in column D. Place your results in   the range G5:G9. Enter a function in cell G12 to   calculate the standard deviation of column c. Enter a function in cell G13 to   calculate the variance between salaries.  Enter a function in cell G14 to   calculate the Covariance of the salaries and job satisfaction in the data   set. Note this is a sample of data not a population. Enter a function in cell F17 to   calculate the correlation coefficient between employee salary and job   satisfaction. Ensure the Data Analysis ToolPak   add-in is active. Use the Data Analysis ToolPak to create a histogram based   on the salaries in column C. Use the range I4:I9 as the Bin Range. Ensure   that Cumulative percentage, column labels, and chart output are included in   the results. Place the results in cell K4. Edit the result text in cell K4 to   display   Salary, if   necessary. Ensure the Office_Data worksheet   is active. Use the Data Analysis ToolPak to perform a single factor ANOVA on   the range C3:E35. Place the results starting in cell G3. Be sure to include   column labels. Resize columns G:M as needed. Create a Forecast Sheet that   depicts year over year growth in customer growth. Set the Forecast end year   as 2025 and place the results on a new worksheet named 2025Forecast. Ensure the Customers worksheet   is active then create a scatter plot chart that places the Years on the X   axis and the Clients on the Y axis. Add a linear trendline to the chart that   also shows the Equation and the R-square. Add the title Customer   Growth. Enter a function in cell E4 to   calculate the intercept of the linear trendline created in the prior step. Enter a function in cell F4 to   calculate the Slope of the linear trendline. Enter a function in cell G4 to   calculate the R-square of the linear trendline. Enter a function in cell H4 to   calculate the Standard Error.  Use the FORECAST.LINEAR function   in cell E7 to the total number of customers by the end of 2021.  Complete your analysis by added   formulas in the range F7:G7 to calculate the high and low thresholds of the   forecast. Save and close Exp19_Excel_Ch08_CapAssessment_EmployeeSatisfaction.xlsx.   Exit Excel. Submit the file as directed. 

 Review the attached file. Suzie has an issue. She can either move to NY or FL and needs to review some data that her agent gave her. The agent reviewed house prices and crime ratings for houses that Suzie would be interested in based on her selection criteria.  She wants to live in an area with lower crime but wants to know a few things:

1. Is it more expensive or less expensive to live in FL or NY?
2. Is the crime rate higher in FL or NY (Note a low score in crime means lower crime)?
3. Is the crime rate higher in lower or higher house price areas?

Using the R tool, show the data in the tool to answer each of the questions.  Also, show the data visualization to go along with the summary.

1. If you were Suzie, where would you move based on the questions above?
2. After you gave Suzie the answer above (to #4), she gave you some additional information that you need to consider:
   1. She has $100,000 to put down for the house.
   2. If she moves to NY she will have a job earning $120,000 per year.
   3. If she moves to FL she will have a job earning $75,000 per year.
   4. She wants to know the following:
      1. On average what location will she be able to pay off her house first based on average housing prices and income she will receive?
      2. Where should she move and why?  Please show graphics and thoroughly explain your answer here based on the new information provided above.

Note: The screenshots should be copied and pasted and must be legible.  Only upload the word document.  Be sure to answer all of the questions above and number the answers.  Be sure to also explain the rational for each answer and also ensure that there are visuals for each question above. Use two peer reviewed articles to support your position. 

My literature review : Customer sentiment analysis using their reviews (Big Data,ML Deep Learning)

In this Discussion Board (DB) assignment, reflect on the various strategies that you may need to develop in relation to various aspects of your work with the literature that informs your study. The following are some questions to consider for this DB assignment:

What are regarded as the top academic journals in your field or concentration, and how did you determine this?

What are the top publications in your profession or industry, and how did you determine this?

In general, what strategies are you using to support your search for relevant literature on your topic?

In what ways might you need to adapt those strategies to evaluate the usefulness of peer-reviewed versus gray literature sources?

1. Discuss and identify leader traits and attributes that are most beneficial in implementing the best decisions in an organization. 
2. Explain the differences in charismatic and transformational leadership and how both leadership styles impact organizational effectiveness.  Please note how these leadership styles affect implementing new innovative technologies.
3. Review table 8.1 in the reading this week, note the work characteristics and the traditional versus high-performance focus, note which focus is best for strategic decisions and which is best for operational decisions.  Please explain.

 In this Assignment, you will use Python Pandas. The assignment is designed in sections, with each section having examples. You will run the code that is provided and record the results.