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The goal of this project was to take a process at a previous job That I found to be inefficient and to design a new system that would improve the process. For this project I created a prototype for a new training process to be used in Walgreens stores as the current process was often the source of frustration while I worked there. This project further reinforced things that I had learned during the class about scoping a project, developing use cases, developing data masters, and creating a prototype.

1. The goal was to use the tools we learned in class and make a working game through a webpage that is hosted/run on a Virtual Machine.  By using our Virtual Machine (IIS Server) we were to use node.js to run a JavaScript program through a webpage we created through HTML. I added inbound/outbound port rules to allow established connections to be able to properly run the game through the webpage.  I needed the web page to display the buttons properly and, when clicked, display an alert to let the user know the result of whether they won the game or not (by picking rock, paper, or scissors).  The result was that I was able to successfully get the webpage and the game to work, whilst running the IIS server through my Virtual Machine.  I was able to add new rules for ports and placed the HTML and JS files in their rightful locations in order to have the game work properly.  I learned that this whole process is very versatile, during the course of the semester we learned both Virtual Machines (Azure), and coding (node.js), however we learned them separately.  This exercise helped combine the two and show what’s possible with what we can work with.  I also learned how important adding inbound/outbound port rules were, in order to allow connections to be able to run any webpages, programs, or games that you make.
2. Once approved, the description is automatically displayed in a post on your e-portfolio.

 

http://project.mis.temple.edu/purifieddata/

The goal of this project was to convert unstructured data scraped from Wikipedia regarding thousands of notable deaths into a data set that is able to be used for statistical analysis. Through iterative sprints, the team and I created project documentation, assigned roles, learned a new coding language, and worked together to create a structured data set. We learned the value of teamwork and research, in addition to the value of communication among team members. We also learned how to leverage each individual’s skills to achieve our goal. This project allowed us to use our knowledge to solve a problem end-to-end through development and project management. Please check out the project website to see further information and documentation.

Marie-Christine Martin’s MIS4596 class

John Jeong

Tuid: 909875325

April 20, 2019

MIS 2502 Section 004

Professor. Deng

 

Artificial intelligence

 

Nowadays, most people have access to social media software, such as Facebook, Instagram, Waze, and the host of apps found on their phone. These softwares, so called applications, have some level of artificial intelligence (AI). The programmed AI shows the user an advertisement that the user might be interested in, or shows the fastest route based on traffic conditions. AI has improved people’s lives more by helping people be more efficient. Additionally, it can teach itself to do the work of a human and they are more accurate and faster than when a person does the work. Hence, AI will lead this generation into the next advanced innovative society.

Throughout MIS 2502, we have learned with R how to interpret data and make decisions. With the help of the program, the work has gotten much easier and more accurate, but we still have to follow our intuition when we make decisions such as, how many clusters we should have to interpret most accurately, or how many nods we need to have within a decision tree, or deciding whether the chart is junk or not. All these decisions can be taught and learned from experiences. However, there is still a chance of making mistakes or interpreting incorrectly. With the help of AI, we can minimize the risk so that we can maximize our scarce resources.

More than 90 percent of the data we have today was generated within last two years. It is nearly impossible for humans to have access to all that data and make precise decisions interpreting them. However, AI can not only have access to all the information but can also interpret and make the most accurate decisions, better than a human’s intuition. For example, Google’s DeepMind has created an AI called AlphaGo that plays a board game called “Go” which has infinite combinations of moves. AlphaGo had access to records of all the games ever played and learns from them. It also has access to the internet so it can learn new moves instantly as it is playing the game. Ultimately, make its own decision that it thinks has the highest possibility of winning. AlphaGo played against Lee Sedol, the Go grandmaster, and the result was victorious. This kind of moment shows that an AI is more accurate and effective than a person who is at the highest level one can be.

The world has revolutionized rapidly in the last 100 years. During that period, humans have developed tools to make the revolution of industry much easier and faster. Now, there is AI, a new tool that humans have developed to aid the revolution. With AI, we will accomplish more than what we have in the past.

 

 

 

 

 

 

 

 

 

 

 

 

 

References

90% Of Today’s Data Created In Two Years. (n.d.). Retrieved from

https://www.mediapost.com/publications/article/291358/90-of-todays-data-created-in-two-years.html

 

90% Of Today’s Data Created In Two Years. (n.d.). Retrieved from https://www.mediapost.com/publications/article/291358/90-of-todays-data-created-in-two-years.html

 

Artificial intelligence vs human intuition: interpreting data. (2018, August 23). Retrieved April 23, 2019, from https://medium.com/@BetterTrader.co/artificial-intelligence-vs-human-intuition-interpreting-data-5f8f0c5712e6

 

 

 

MIS2502 NOSQL PRO Assignment

The purpose of this project was to learn more about a topic related to data analytics that we did not cover in class. I researched NoSQL. Attached is the write-up.

The objective of this project was to complete a write-up on a selected subject that was an extension of what we had learned in MIS2502. I chose to research the Internet of Things and wrote a cited piece on what exactly it is, along with examples, as well as it’s importance in our highly connected society. A link to this project can be found here.

The research project is based on the topic of NoSQL databases, which is also an extension of the topics discussed in my MIS2502 class. In a brief description, I included what NoSQL Database is and why it is important, as well as how it would be applied in companies like eBay. Please go to this page for more details about NoSQL Database.

The API found at https://api.chucknorris.io/ could be used for entertainment purposes. A user decides they would like to hear some funny jokes. First, they would enter the number of jokes they want in the text box. If the button is clicked and there is no number, an error message pops up. Then need to decide if they want to choose a category or random. If they decide to pick a category, they must choose an option from the drop-down menu and click the “Generate” button. If they decide to choose random, they must click the “Random” button. Then the number of jokes select show up on the right side.

 

LINK: http://misdemo.temple.edu/tuf60094/Chuck%20Norris%20Jokes%20API/

One of the first things that stood out about the ETL Capstone project was how important it is to be thorough in conducting research at the beginning of a project.  Without being diligent and evaluating many options, we would not have found the tools suitable to meet the needs of our project sponsor. This project also teaches students the importance of making slide decks clear, concise and informative. The student presenting is responsible for conveying that information properly and in a way that keeps the attention of the audience. It can be hard to grab the attention of the audience, and boring them with too many words on your slides is a quick way to lose all of their focus. In addition, the key element is to ensure that the needs of the client are met to the fullest possible extent. While we all had our own ideas and experiences with different tools, what was crucial for us was whether or not our tool met the needs of the project sponsor. Achieving an organized stream of communication with our sponsor allowed us to do our research while also making sure his requirements and timelines were met.

 

http://project.mis.temple.edu/team4/project-introduction-etl-tool-comparison/