Agile Development Using Ruby on Rails - Advanced

Created by: Armando Fox, David Patterson and Sam Joseph

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Course Description

Part 2 of the UC Berkeley Agile Development Using Ruby on Rails XSeries Program will teach you to use JavaScript to enhance applications and create more sophisticated apps by adding relationships between models within the Ruby on Rails framework. You will also learn about what happens after the apps are deployed to real users, including how to monitor performance, identify and fix common performance problems, and avoid compromising customer data. Filly, learners will see how to apply Agile techniques to enhance and refactor legacy code and practice app deployment to real users to monitor performance, identify and fix common performance problems, and avoid compromising customer data. Other topics covered in this software engineering course include: How to form, organize and mage small programming teams Introduction to design patterns: what they are and how to recognize opportunities to apply them Using Rails for more advanced features like third-party authentication and elegantly expressing design patterns that arise frequently in SaaS There will be four homework assignments: two programming assignments, an open source assignment and one assignment about operations/deployment. There will also be several short quizzes. The videos and homework assignments used in this offering of the course were revised in October 2016.

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Instructor Details

Armando Fox, David Patterson and Sam Joseph

Armando Fox is a Professor of Computer Science at UC Berkeley and was previously an Assistant Professor at Stanford, where he received teaching and mentoring awards from the Associated Students of Stanford University, the Society of Women Engineers, and Tau Beta Pi Engineering Honor Society. In previous lives he helped design the Intel Pentium Pro microprocessor and founded a successful startup to commercialize his UC Berkeley dissertation research on mobile computing. His degrees in electrical engineering and computer science are from MIT, the University of Illinois, and UC Berkeley, and he is an ACM Distinguished Member.

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