For this project, I have researched and implemented a free API that provides developers with real time stock data for a specific company they would like to obtain information about.
The API that I’ve researched can be located at ‘https://www.alphavantage.co/documentation/’. For this specific task, I have decided to use the “Quote Endpoint” API. With this API, it provides real time stock information to the user that returns as JSON output. For example, one can make a blog or website about a specific stock trading company or about financial news and implement this API to provide users who are reading the blog/website with up to date information on how the stock is performing right on the website itself without having to going off the website. Additionally, this API can be used to pull any publicly traded company’s stock information (not just Microsoft). Therefore, it can be tailored to meet anyone’s needs when developing their web application. Furthermore, this API is very flexible as it can be used with multiple programming languages and easily be implemented. All in all, this free simple API can provide developers an opportunity to put useful and effective data on their website
Link to my Proof-of-Concept can be found here: http://misdemo.temple.edu/tug97942/pro%20points%20project/
My recommendation write up as a word document is below:

This semester, the MIS major introduces exciting new content to prepare students for the emerging API economy. A three-course series emphases application development and cloud software deployment, enhancing learning while building skills and confidence. “This sequence emphasizes the interconnectedness of the information. Now it’s not like three 15-week courses, it’s like a single 45-week course that goes from one semester to the next,” says professor 

Buerger is part of NBCUniversal’s Media Technology Program, a two-year program giving associates technical and managerial experience by working three jobs in different locations; in her case New York, New Jersey and California, where she now lives. 
Dr. Ayabakan, who was previously an Assistant Professor at University of Baltimore and faculty fellow at the Schaefer Center for Public Policy, is researching healthcare by applying analytics to analyze very large data sets from hospitals. He will apply his analytics background and practical experience working with big data to teach the MIS department’s award winning GenEd Data Science course.
Dr. Jung, who recently completed his dissertation, is examining the role of incentive structures in online and mobile forums using field experiments. Dr. Jung will apply his industry experience in the telecomm industry as well as research on social gaming and networks to teach Analytics to majors and minors across the Fox School.
Dr. Bauman, who was previously a research scientist at New York University, is a machine learning expert focusing on researching recommendation systems. Dr. Bauman will apply his extensive technical expertise including industry experience as a software engineer to teach programming.