assignment

People love sports statistics and the more the better.  Responding to this customer demand, the NFL increased the quality and quantity of statistics available to coaches and fans with radio frequency identification (RFID) chips. 

Player RFID Project

When the 2015 National Football League played its first game in New England, each player was equipped with a set of RFID sensors.  Each sensor, about the size of a quarter, is embedded in players’ shoulder pads and remits a unique radio frequency.  Every stadium used by the NFL is equipped with 20 receivers to pick up the RFID signals and pinpoint every player on the field.  It also records speed, distance traveled, acceleration in real time, and the direction the player is facing.  

The NFL plans to use the data it collects to power an Xbox One and Windows NFL apps to allow fans to call up stats for each player tied into the highlight clips posted on the app.  The data will also be fed to broadcasters, leveraged for in-stadium displays, and provided to coaching staff and players. 

“We’ve always had these traditional NFL stats,” says Matt Swensson, senior director of Emerging Products and Technology at the NFL.  “The league has been very interested in trying to broaden that and bring new statistics to the fans.  Along the way, there’s been more realization about how the data can be leveraged to make workflow more efficient around the game.” 

Zebra Technologies Software Vendor

The NFL’s technology partner in its IoT push was Zebra Technologies of Lincolnshire, Illinois. 

Zebra was well known for its manufacturing and selling, marking, tracking, and printing technologies such as thermal barcode label and receipt printers, RFID smart label printer/encoders, and card and kiosk printers.  As it moved into IoT and M2M applications, Zebra launched its MotionWorks Sports Solution, which powers the NFL IoT initiative.  Zebra was able to develop RFID tags that blink up to 85 times per second to track motion of athletes in subseconds.  Then it had to find a customer for the product—so it turned to the biggest fish in the pond—the NFL.  Zebra trialed the tags by equipping more than 2,000 players, 18 NFL stadiums and officials, markers, and pylons.  Over the course of the season, more than 1.7 billion sets of XY player coordinates were measured, transmitted, and stored during the games.  Every stadium was connected to a command station in San Jose, California, that controls when the data are collected, where they are sent, and stores them in the cloud. 

The Need for the Right People

An important lesson that Zebra learned is that generic data scientists weren’t sufficient to gain insight into the data.  Zebra needed football experts.  “When you look at analytics in football, you really need people.  We had to go out and hire football people.  The analytics from manufacturing weren’t the same as the analytics from football.  We could see correlations in the data that seemed important and then found out they weren’t.  We had to bring in people that had the football expertise who could say, ‘Look, this is why it matters’,” said Jill Stelfox, Zebra Technologies Vice President and General Manager, Location Solutions. 

The latest development in this IoT initiative is its integration with NFL’s fantasy football offerings. 

QUESTIONS TO ANSWER

1.       Why did NFL equip its players with RDIF tags? 

2.      What factors contributed to the success of the IoT initiative at the NFL? 

3.      What other types of IoT applications can you think of that could be used in sports stadiums? 

4.      Is it ethical to insert the RFID tags into the players?  Why or why not?

Business iNtelligence

 

1.  How do you describe the importance of data in analyt-ics? Can we think of analytics without data? Explain.

2.  Considering the new and broad definition of business analytics, what are the main inputs and outputs to the analytics continuum?

3.  Where do the data for business analytics come from? What are the sources and the nature of those incoming data?

4.  What are the most common metrics that make for analytics-ready data?

5. Go to data.gov—a U.S. government–sponsored data portal that has a very large number of data sets on a wide variety of topics ranging from healthcare to edu-cation, climate to public safety. Pick a topic that you are most passionate about. Go through the topic- specific information and explanation provided on the site. Explore the possibilities of downloading the data, and use your favorite data visualization tool to create your own meaningful information and visualizations.

vpython programming

I have the code already developed. Can anyone add the code for taking inputs from user 

for any values in the code . 

Also, Can you please describe about the code written in details (You can add comments )

This is using vpython and numpy only.

Week 13 Discussion

 The article on IRB this week discusses broad consent under the revised Common Rule. When you are doing any sort of research you are going to need to have your research plan approved by the University’s institutional review board or IRB. If you have never heard of this term before, please take a look online and find a brief summary of what it is about, before you read the article.  

Please answer the following questions in your main post:

  • What are the main issues that the article addresses?
  • What is the Common Rule?
  • How is this issue related to information systems and digital privacy?

Reading article:

 Implementing Regulatory Broad Consent Under the Revised Common Rule: Clarifying Key Points and the Need for Evidence. (2019). Journal of Law, Medicine & Ethics, 47(2), 213–231.  https://doi.org/10.1177/1073110519857277 

Graduate Internship Preparation november 2022

Week 4 Assignment (Harris, 2021):

Watch:

1. “How to Increase Your Potential With a 30-day Goal Framework” YouTube video:

https://www.youtube.com/watch?v=tz24KHcwpxI

2. “Setting SMART goals”

https://www.youtube.com/watch?v=vKMrWsjUOZQ

Week 4 Assignment Part I:

For Part I create a 1 – 2-page document that contains answers to the following critical thinking questions:

1. My long-term career goal (3-5 years) is to be a (an):

a. Find this job on a company website or job board and include a link to it or copy and paste the job description.

b. To obtain this position, I foresee myself having to:

c. The date I have set to obtain this career goal is:

Week 4 Assignment Part II:

2. My ultimate career goal is to be a (an):

a. Find this job on a company website or job board and include a link to it or copy and paste the job description.

b. In this position, I will perform the following tasks:

c. The date I have set to obtain this career tool is:

Think long-term. Your career is a marathon, not a sprint!

Your submission should be a minimum of one page of content in length. Please type the question as well as your answer. Properly cite any source utilized in APA format.

Reflection activity jan 21

Celebrating his life and his legacy: 

Read each quote below and complete the reflection activity in no more than 300 words: Word document, double-spaced. 

Dr. King quotations:

  1. “If you can’t fly, run. If you can’t run, walk. If you can’t walk, crawl. But, by all means, keep moving.”
  2. “There comes a time when one must take a position that is neither safe, nor politic, nor popular, but he must take it because conscience tells him it is right.”
  3. “The ultimate measure of a man is not where he stands in moments of comfort and convenience, but where he stands at times of challenge and controversy.”
  4. “I have decided to stick to love. . . . Hate is too great a burden to bear.”
  5. “Let no man pull you so low as to hate him.”

Reflection activity:

Complete a written reflection (no more than 300 words) on your favorite quote above:

  1. Identify which quote you are reflecting on.
  2. Why is it your favorite one, and what does it mean to you?
  3. Does the quote inspire you or remind you of something?

Mobile Application

From a development team of one to two people to an enterprise-level team with multiple divisions, the topic of mobile development will eventually come up. In no less than five (5) pages address the tasks below:

  • Compare & Contrast mobile applications vs websites.
  • Research and discuss the importance of developing a mobile strategy.
  • Discuss different system mobile functionalities.
  • Explain the social aspect of mobile interfaces.
  • Discuss two or three mobile application development myths.
  • Argue the need for adaptive vs dedicated mobile websites.

Your assignment must follow these formatting requirements:

  • Use at least five (5) quality resources in this assignment. Note: Wikipedia and similar Websites do not qualify as quality resources.
  • Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA or school-specific format. 
  • Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment 

Below is how everyone will be assessed for this graded discussion:

1. Compared and contrasted mobile applications vs websites
2. Researched and discussed the importance of developing a mobile strategy.
3. Discussed different system mobile functionalities
4. Explained the social aspect of mobile interfaces
5. Discussed two or three mobile application development myths
6. Argued the need for adaptive vs dedicated mobile websites
7. Content is in rich descriptive details supported with quality research (Minimum 5 Sources) and properly formatted to APA.