Data structures: Measuring and Optimizing Performance

Description

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? In this course, you will use and analyze data structures that are used in industry-level applications, such as linked lists, trees, and hashtables. You will explain how these data structures make programs more efficient and flexible. You will apply asymptotic Big-O analysis to describe the performance of algorithms and evaluate which strategy to use for efficient data retrieval, addition of new data, deletion of elements, and/or memory usage. The program you will build throughout this course allows its user to manage, manipulate and reason about large sets of textual data. This course is designed around the same video series as in our first course in this specialization, including explanations of core content, learner videos, student and engineer testimonials, and support videos — to better allow you to choose your own path through the course!



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Frequently Asked Questions

What is Data structures: Measuring and Optimizing Performance by University of California, San Diego?

Data structures: Measuring and Optimizing Performance is a learning resource for Database Management. It is available in the following format(s): Online class. It is suited for College students.

What grade level is Data structures: Measuring and Optimizing Performance by University of California, San Diego appropriate for?

It is designed for College students, but could be useful for students of other ages as well; please look at the description and images to determine suitability.

How much does Data structures: Measuring and Optimizing Performance by University of California, San Diego cost?

It is free!