Monthly Archives: January 2024

 Discussion #1: There have been many books and opinion pieces written about the impact of AI on jobs and ideas for societal responses to address the issues. Two ideas were mentioned in the chapter – UBI and SIS. What are the pros and cons of these ideas? How would these be implemented? 

 Discussion #2: Based upon the current state of the art of robotics applications, which industries are most likely to embrace robotics? Why? 

Discussion #3:  Conduct research to identify the most recent developments in self-driving cars. 

 Define several forms of metadata that can be useful to an investigation. How are valuable to an investigator? 

Go online and research some tools that would be valuable in collecting both live memory images and images of various forms off media. Put together a shopping list for your manager that includes tools needed  to be purchased. Include a price if applicable.

Write your answer using a WORD document. Do your own work. Submit here. Note your Safe Assign score. Score must be less than 25 for full credit.

Youtube link:  https://www.youtube.com/watch?v=ehRCA8eYJzk 

Project assignment is to have you do more research on the topic of Data Analytics and Visualization. In this project you will need to do some research. Select any software that can help you with data analytics, it can be R programming, it can be Tableau, anything. Research the software and write a paper on its capabilities with examples.

This assignment is worth 100 points.

Here is what needs to be done:

1. Submit at least 2 but no more than 4 pages double spaced, APA style MS Word document.

2. Only 2 graphics or figures allowed.

3. Reference all sources used. Use APA style references.

 The vast majority of the population associates Blockchain with cryptocurrency Bitcoin; however, there are many other uses of blockchain; such as Litecoin, Ether, and other currencies. In this discussion, please describe at least two cryptocurrencies with applicable examples. Discuss some similarities and differences. Lastly, discuss if you have any experience using any cryptocurrencies. 

A tenet of telecommunications says the more people who access a network, the more valuable the network becomes.  This is called Metcalfe’s Law.  When organizations implement security policies, there are pressures and trade-offs ~~ Chapter nine examines different types of users on networks as it reviews an individual’s need for access & how those needs can lead to risks.

• How can the use of security policies reduce risk? Explain
• How can a SAP reduce risk?  Explain
• Why are end-users considered the “weakest” link in regards to implementing security policies and controls? Explain

From the following website: https://www.techsmith.com/download/snagit/, download a free trial version of the screen capturing software know as Snagit and use the video resources in this module to learn about the software and its interface.

Now, think about all the knowledge and experience you currently have using and working with the internet. Use this knowledge to create a how-to video to be published on YouTube. The video created needs to be a minimum of five minutes and must include voiceover with your voice.

Using experience and a minimum of three sources of research, the how-to video in this case should be developed in a way to teach others how:

• The Internet supports online education
• To determine the validity of information over the internet demonstrating best practices of internet research.
• The Internet supports social networking including both pros and cons.
• To use research skills locating information to assist in completion of graded assessments

Once the video is created using Snagit, upload the video to YouTube and include the video link created from YouTube in the comments section of the submission area for this assignment. Also, include the sources of research used to support your video content in the comments section as well.

Important Note: We recognize and understand that some may not be comfortable uploading videos to YouTube. In these cases, upload and attach the actual video file to the submission area for this assignment and include the sources of research used to support your video content in the comments section.

Assignment Expectations

Video Length: Minimum of five minutes

Structure: Include voiceover

References: Use the appropriate APA style in-text citations and references for all resources utilized to create video content and references can be shown in the video itself.

Format: Snagit (Use of another screen video capture software can be used other than Snagit to create video)

File name: Name your saved file according to your first initial, last name, and the assignment number (for example, “RHall Assignment_1.mp4”)

1 Financial Condition of Banks. The file Banks.csv includes data on a sample of 20 banks. The “Financial Condition” column records the judgment of an expert on the financial condition of each bank. This outcome variable takes one of two possible values—weak or strong—according to the financial condition of the bank. The predictors are two ratios used in the financial analysis of banks: TotLns&Lses/Assets is the ratio of total loans and leases to total assets and TotExp/Assets is the ratio of total expenses to total assets. The target is to use the two ratios for classifying the financial condition of a new bank. Run a logistic regression model (on the entire dataset) that models the status of a bank as a function of the two financial measures provided. Specify the success class as weak (this is similar to creating a dummy that is 1 for financially weak banks and 0 otherwise), and use the default cutoff value of 0.5. 

a. Consider a new bank whose total loans and leases/assets ratio = 0.6 and total expenses/assets ratio = 0.11. From your logistic regression model, estimate the following four quantities for this bank (use R to do all the intermediate calculations; show your final answers to four decimal places): the logit, the odds, the probability of being financially weak, and the classification of the bank (use cutoff = 0.5). 

b. The cutoff value of 0.5 is used in conjunction with the probability of being financially weak. Compute the threshold that should be used if we want to make a classification based on the odds of being financially weak, and the threshold for the corresponding logit. 

c. When a bank that is in poor financial condition is misclassified as financially strong, the misclassification cost is much higher than when a financially strong bank is misclassified as weak. To minimize the expected cost of misclassification, should the cutoff value for classification (which is currently at 0.5) be increased or decreased?

2. Competitive Auctions on eBay.com. The file eBayAuctions.csv contains information on 1972 auctions transacted on eBay.com during May–June 2004. The goal is to use these data to build a model that will distinguish competitive auctions from noncompetitive ones. A competitive auction is defined as an auction with at least two bids placed on the item being auctioned. The data include variables that describe the item (auction category), the seller (his or her eBay rating), and the auction terms that the seller selected (auction duration, opening price, currency, day of week of auction close). In addition, we have the price at which the auction closed. The goal is to predict whether or not an auction of interest will be competitive. Data preprocessing. Create dummy variables for the categorical predictors. These include Category (18 categories), Currency (USD, GBP, Euro), EndDay (Monday–Sunday), and Duration (1, 3, 5, 7, or 10 days). 

a. Create pivot tables for the mean of the binary outcome (Competitive?) as a function of the various categorical variables (use the original variables, not the dummies). Use the information in the tables to reduce the number of dummies that will be used in the model. For example, categories that appear most similar with respect to the distribution of competitive auctions could be combined.

b. Split the data into training (60%) and validation (40%) datasets. Run a logistic model with all predictors with a cutoff of 0.5. c. If we want to predict at the start of an auction whether it will be competitive, we cannot use the information on the closing price. Run a logistic model with all predictors as above, excluding price. How does this model compare to the full model with respect to predictive accuracy? 

d. Interpret the meaning of the coefficient for closing price. Does closing price have a practical significance? Is it statistically significant for predicting competitiveness of auctions? (Use a 10% significance level.) 

e. Use stepwise selection (use function step() in the stats package or function stepAIC() in the MASS package) and an exhaustive search (use function glmulti() in package glmulti) to find the model with the best fit to the training data. Which predictors are used? 

f. Use stepwise selection and an exhaustive search to find the model with the lowest predictive error rate (use the validation data). Which predictors are used?

I have a web project in HTML & CSS but It has some issues which I need some help in fixing. The project is complete so it is just a minor fix. 

I need Zero plagiarism in the assignment 

the answers are common with all students.