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California State University – Sacramento

1. Shah, Paril. Mobile learning application : Android version.

Degree: MS, Computer Science, 2017, California State University – Sacramento

Mobile Learning Application is an Android application that communicates with a server using RESTful API. The application provides a collaborative platform for administrators, instructors, and students, and is used for enrollment of students, managing subjects, classes, grades and keeping track of their upcoming schedules. The application is built using a 3-tier architecture and multiple design patterns. The presentation layer of the application is developed by Android Studio using Android SDK. The business layer of the application is in the .NET, and it is hosted on Amazon EC2. The database layer is managed by Microsoft SQL Server Management Studio 2014, and it is hosted on Amazon Relational Database Service (RDS). Advisors/Committee Members: Ouyang, Jinsong.

Subjects/Keywords: Android; RESTful API; Sinch; VoIP call; 3-tier architecture; Model View Controller; Relational database; Distributed system; Learning management system (LMS)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Shah, P. (2017). Mobile learning application : Android version. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/198634

Chicago Manual of Style (16th Edition):

Shah, Paril. “Mobile learning application : Android version.” 2017. Masters Thesis, California State University – Sacramento. Accessed October 23, 2019. http://hdl.handle.net/10211.3/198634.

MLA Handbook (7th Edition):

Shah, Paril. “Mobile learning application : Android version.” 2017. Web. 23 Oct 2019.

Vancouver:

Shah P. Mobile learning application : Android version. [Internet] [Masters thesis]. California State University – Sacramento; 2017. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10211.3/198634.

Council of Science Editors:

Shah P. Mobile learning application : Android version. [Masters Thesis]. California State University – Sacramento; 2017. Available from: http://hdl.handle.net/10211.3/198634

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