All posts by : chebby

look for the question in document

Objective: Create a web page that accesses data from a SQL* data source. You will need to create the TechSupport DB if you have not already.

Start by creating a new ASP.NET Web Application project in Visual Studio called SportsPro.

You will need the TechSupport SQL database (Tips & Resources -> Database Files -> TechSupport DB ->Pre-Build SQL Server DB). Save it to your PC, then import it to your project, specifically into the App_Data folder.

Create the Customer Display page. It should look similar to the attached image (Sportspro.jpg).

Use a table to align the address, phone, and email information.

Use any fonts, colors, and sizes you like for the two headings.

Create a SQL data source that retrieves all the rows and columns from the Customers table, sorted by the Name column (Figures 4.9 – 4.11).

Bind the drop-down list to this data source so that the Name column is displayed for each item in the list and the CustomerID column is stored as the value of each item.

Create a class named Customer that contains public fields.

The easiest way to do this is to right-click the App_Code folder, then click Add.

Then, let the menu expand out, and then choose Class.

Change the name of the new class to Customer before you go any further. Be certain to save it in the App_Code folder. This will be similar to the Product class in the top of Figure 4-16, adjusted, of course, for the TechSupport Customer table fields. Only a Customer class is required for this portion of the project.

You will also need to add the System.Data class from the class library. Consult Figure 4-19 for the syntax to include this in your code file (Hint: C#: using, VB: imports).

Create a method called GetSelectedCustomer that will use the Customer class to create a Customer object that contains the information for the selected customer. Create a data view from the data source and then filter the data view so it consists of just the row for the selected customer. Your code should look similar to the code in Figure 4-19 adjusted for the tech support customer instead of a product. Return the Customer object that you created.

On the ASPX page, be sure to check the EnableAutoPostBack attribute in the dropdownlist smart tag menu to trigger a page reload anytime the selection is changed. This will force the code to execute that will show the newly selected customer’s data on the page.

When the page is displayed, the information for the first customer in the drop-down list should display on the page. To add this code, you will need to add a Page_Load event to the codebehind by double-clicking somewhere in a blank area of the Design View of the page.In this event, add code that will do the following:

If this is the first time the page is loaded (Hint: If Not/! IsPostBack), then bind the database to the dropdownlist (ddlCustomer.DataBind)

Call the GetSelectedCustomer method and assign it to a Customer object.

Display the address, phone and email from the selected customer in the correct label fields.

Include your name on the page. The title field works well for this.

Test your project to make sure that it works. Be sure that when you select a new customer that you see refreshed customer data.

The attached pdf file

Project 1-A: Display customers For this project, you’ll create a page named CustomerDisplay.aspx that displays information for a selected customer. To do that, you’ll use a SQL data source. (Required reading: section 1) The design of the Customer Display page Operation  When the page is first displayed, the information for the first customer in the drop-down list is displayed on the page. After that, the information for the customer that the user selects from the drop-down list is displayed. Specifications  Create a class named Customer that contains a public property for each column in the Customers table. Then, use this class to create a Customer object that contains the information for the selected customer.  Add a SQL data source to the page that retrieves all the rows and columns from the Customers table and sorts them by the Name column. When you create the connection for this data source, you should save it in the web.config file. Then, bind the drop-down list to this data source so the Name column is displayed for each item in the list and the CustomerID column is stored as the value of each item.  To get the data for a selected customer, create a data view from the data source and then filter the data view so it consists of just the row for the selected customer.  Use a table to align the address, phone, and email information.  Create a style sheet that contains the basic formatting for the page as shown above. Use any color you like for the border and any fonts, colors, and sizes you like for the two headings.

Case: Uber and Stakeholder: Managing a New Way of Riding Subject Area: Change Agents & Stakeholders, Resistance, New Product Challenges

• An APA formatted, which should include a cover page, five pages of content, and a references page, should be written to answer the following questions regarding the case:
  • Assess Uber’s position in mid-2015. What challenges does it face? Would it have been able to achieve its staggering success without raising such controversy?
  • Do upset stakeholders threaten future growth? What options does Uber have to overcome resistance from different groups?
  • Advise Travis Kalanick and Uber about Uber’s direction for the future?
  • Can a “sharing economy” company insulate itself from critics (and liability for various issues) by claiming its just a marketplace, or just the Tech?
  • What lessons did you learn from this case study from a leadership and overall organizational perspective?

Case Link:https://hbsp.harvard.edu/import/853991

This week we explored the concept of Tokenization.  Three important protocols discussed were Secure Multi-Party Computation (SMPC), Policy-Backed Token (PBT) and Open Asset Protocol (OAP).  Compare and contrast these three protocols and explain which industries can benefit the most from each of these protocols. 

Please make your initial post and two response posts substantive. A substantive post will do at least two of the following:

• Ask an interesting, thoughtful question pertaining to the topic
• Answer a question (in detail) posted by another student or the instructor
• Provide extensive additional information on the topic
• Explain, define, or analyze the topic in detail
• Share an applicable personal experience
• Provide an outside source (for example, an article from the UC Library) that applies to the topic, along with additional information about the topic or the source (please cite properly in APA)
• Make an argument concerning the topic.

At least one scholarly source should be used in the initial discussion thread. Be sure to use information from your readings and other sources from the UC Library. Use proper citations and references in your post.

This one too, It need calculator 

The final project for the course is a technical blog post related to a data analysis project you will work on piecemeal over the course of the semester. 

The project is very open ended. The objective is to demonstrate your skill in asking meaningful questions of your data and answering them with results of the data analysis using R / Rmarkdown, and that your proficiency in interpreting and presenting the results.  The goal is not to conduct an exhaustive data analysis. The data analysis part should meet the following criteria:

1. Perform exploratory data analysis summarizing your data using descriptive statistics / summary statistics and visualizations relevant to your questions or ones that highlight some interesting insight.

2. Demonstrate at least two of the following techniques we have learned in class and that helps answer your question: PCA, hypothesis testing / confidence interval, regression analysis (linear /logistic) 

Proposal

The first task is to identify the dataset, understand the data and write questions you are planning to answer using that dataset. You may pick a data set from one of the resources mentioned on this webpage (Links to an external site.).  The proposal should meet the following criteria:

1. Perform checks to determine quality of the data (missing values, outliers, etc.)

2. Proposal on what questions you are interested in answering from the data

3. Initial visualizations and if required transform to get the data ready 

A good reference for ideas on questions and EDA in general: https://r4ds.had.co.nz/exploratory-data-analysis.html#questions

More information on the format:

It should be about 2+ pages in length, not exceeding 10 with appendix. It should include roughly the following sections:

1. Background or the context of data selected – sources, description of how it was collected, time period it represents, context in it was collected if available, perhaps why you selected it

2. Description of the data – how big is it (number of observations, variables), how many numeric variables, how many categorical variables, description of the variables

3. Goal – What questions you plan to understand from the data. 

3. Analysis – Descriptive statistics and visualization of key variables 

4. Summary of findings from the analysis and further questions for future analysis

5. References – link to data or analysis sources you have referenced for the report

6. Appendix – all the visualization that does not support your questions directly can go here

Final Write-up

The project should include

1. Introduction: What is your research question? Why do you care? Why should others care? If you know of any other related work done by others, please include a brief description.

2. Data: Include context about the data covering:

a. Data source: Include the citation for your data, and provide link to the source.

b. Data collection: Context on how the data was collected?

c. Cases: What are the cases (units of observation or experiment)? What do the rows represent in your dataset?

d. Variables: What are the variables you will be studying?

e. Type of study: was it an observational study or an experiment?

f. Data clean-up: (Optional) If you had to do any data clean up (missing values, outliers, transformation), include a very brief description of your steps.

3. Exploratory Data Analysis: summarize your data using descriptive statistics / summary statistics and visualizations relevant to your questions or ones that highlight some interesting insight. Additional plots not relevant to your research question can be included in the appendix.

4. Data Analysis: Pick and perform two of the following techniques we have learned in class and that helps answer your question about the dataset: PCA, hypothesis testing / confidence interval, regression analysis (linear /logistic) 

5. Conclusion: Summarize your findings and include a discussion of what you have learned about your data through this project. You may also want to include limitations of your approach and include ideas for possible future work. 

6. References: Include links that you have referenced for this project.

Checkpoints
1) Include name, e-mail, and lab# as comments in the code and also include code to output this information to the output.2) Minimum of three (3) comments (including Pre/Post) in each function. Note that if the parameter is a reference to (i.e. address of) a value, then the Pre comment must so state.3) user defined constants for property tax rate, cost of utilities, and cost of insurance. use non-global memory constant for percent of down payment.4) use exactly one function separate from main for input.5) Call a calculation function from main which handles all calculations. This function needs to call a sub-function (another function) to calculate exactly the following and no more: amount of down payment, amount of the loan, amount of monthly mortgage payment.6) Use exactly one function separate from main for output.7) Output must be formatted exactly as shown on lab write-up with decimal points lined up. Output must be copied to a separate file.8) All functions (other than main() & your signature function) must use prototype style.9) use reference variables when necessary and ONLY WHEN NECESSARY.Test data (see bankrate.com or use Excel & pmt()to check your answers)
Set 1 – $600,000, 5%, 20Set 2 – $400,000, 4.2%, 30

Minimum of three (3) comments (including Pre/Post) in each function. Note that if the parameter is a reference to (i.e. address of) a value, then the Pre comment must so state.5) Call a calculation function from main which handles all calculations. This function needs to call a sub-function (another function) to calculate exactly the following and no more: amount of down payment, amount of the loan, amount of monthly mortgage payment.9) use reference variables when necessary and ONLY WHEN NECESSARY.>>>>>>>>>>>>>>>Model for Lab 5 -> Webinar: Pizza Problem CompleteSee the words “reference to” in the Pre below:
double calcBill(int nDrinks, int nPiz, double& sub, double& tax)
{
/* Pre: nDrinks – number of drinks
nPiz – number of pizzas
sub – reference to subtotal
tax – reference to tax
Post: total of the bill
Purpose: Calculate subtotal, tax, total
*/Also, please note that many of these “musts” are because I am endeavoring to make sure that you understand the underlying concepts and are not just blindly coding.

Please follow the instructions on the screenshot and stick to the project. 

 Define stubs for the methods called by the below main(). Each stub should print “FIXME: Finish methodName()” followed by a newline, and should return -1 .  Example output:  

FIXME: Finish getUserNum()



FIXME: Finish getUserNum()



FIXME: Finish computeAvg()



Avg: -1

import java.util.Scanner;

public class MthdStubsStatistics {

   /*Your Answer Goes Here*/

   public static void main(String [] args) {

      int userNum1;

      int userNum2;

      int avgResult;

      userNum1 = getUserNum();

      userNum2 = getUserNum();

      avgResult = computeAvg(userNum1, userNum2);

      System.out.println(“Avg: ” + avgResult);

   }

}

 Dissertation topic: Enhancing Cyber Security In Healthcare -With The Help Of Machine Learning

A brief discussion of the “mock” dissertation topic you chose and why.

The research question(s) you will use to employ to explore the topic.

A brief discussion of how you plan to design your study to answer the research question.

500 words APA format with references needed