How do Java programs deal with vast quantities of data? Many of the data structures and algorithms that work with introductory toy examples break when applications process real, large data sets. Efficiency is critical, but how do we achieve it, and how do we even measure it?

Data Structures and Performance
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Data Structures and Performance
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Instructors: Christine Alvarado
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Birla Institute of Technology & Science, Pilani

University of California San Diego
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Reviewed on Jan 16, 2017
A very good course for beginners , people having prior knowledge about data structures might found it a bit easy , anyways the projects were fun and was course was worth taking
Reviewed on Nov 24, 2016
Again the explanation and representation was good.3.5-4 stars for some Data Structures and their performance. Few basic ideas and introduction about the gui of the project would make it 5stars.
Reviewed on Dec 5, 2016
Very solid review of data structures. In fact, I learned a lot of new things along the way like how to benchmark test Java code and how to properly use JUnit and other unit testing frameworks.






